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  Subjects -> TRANSPORTATION (Total: 132 journals)
    - AIR TRANSPORT (5 journals)
    - AUTOMOBILES (19 journals)
    - RAILROADS (4 journals)
    - ROADS AND TRAFFIC (4 journals)
    - SHIPS AND SHIPPING (15 journals)
    - TRANSPORTATION (85 journals)

TRANSPORTATION (85 journals)

Accident Analysis & Prevention     Partially Free   (Followers: 16)
AI & Society     Hybrid Journal   (Followers: 2)
Archives of Transport     Open Access   (Followers: 4)
Bitácora Urbano-Territorial     Open Access   (Followers: 1)
Cities in the 21st Century     Open Access   (Followers: 9)
Economics of Transportation     Partially Free   (Followers: 11)
EURO Journal of Transportation and Logistics     Hybrid Journal   (Followers: 4)
European Transport Research Review     Open Access   (Followers: 9)
Geosystem Engineering     Hybrid Journal   (Followers: 3)
IATSS Research     Open Access  
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 5)
IET Electrical Systems in Transportation     Hybrid Journal   (Followers: 3)
IET Intelligent Transport Systems     Hybrid Journal   (Followers: 3)
International Innovation – Transport     Open Access  
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 4)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 5)
International Journal of Critical Infrastructure Protection     Hybrid Journal   (Followers: 5)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 3)
International Journal of Electronic Transport     Hybrid Journal   (Followers: 2)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 5)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 5)
International Journal of Micro-Nano Scale Transport     Full-text available via subscription   (Followers: 1)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 7)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 3)
International Journal of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 5)
International Journal of Services Technology and Management     Hybrid Journal  
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 6)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 11)
International Journal of Transportation Science and Technology     Full-text available via subscription   (Followers: 4)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 4)
International Journal of Vehicular Technology     Open Access   (Followers: 1)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 9)
Journal of Modern Transportation     Full-text available via subscription  
Journal of Navigation     Hybrid Journal   (Followers: 18)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 7)
Journal of the Transportation Research Forum     Open Access   (Followers: 3)
Journal of Transport and Land Use     Open Access   (Followers: 8)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 5)
Journal of Transport Geography     Hybrid Journal   (Followers: 12)
Journal of Transport History     Full-text available via subscription   (Followers: 10)
Journal of Transport Literature     Open Access  
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 6)
Journal of Transportation Security     Hybrid Journal   (Followers: 2)
Journal of Transportation Systems Engineering and Information Technology     Full-text available via subscription   (Followers: 11)
Journal of Transportation Technologies     Open Access   (Followers: 7)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 5)
Les Dossiers du Grihl     Open Access  
Logistique & Management     Full-text available via subscription  
Mechatronics, Electrical Power, and Vehicular Technology     Open Access  
Modern Transportation     Open Access   (Followers: 1)
Nonlinear Dynamics     Hybrid Journal   (Followers: 5)
Open Journal of Safety Science and Technology     Open Access   (Followers: 2)
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 9)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 4)
PS: Political Science & Politics     Full-text available via subscription   (Followers: 18)
Public Transport     Hybrid Journal   (Followers: 9)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Research in Transportation Business and Management     Partially Free   (Followers: 3)
Revista Transporte y Territorio     Open Access   (Followers: 1)
SourceOCDE Transports     Full-text available via subscription   (Followers: 1)
Sport, Education and Society     Hybrid Journal   (Followers: 10)
Sport, Ethics and Philosophy     Hybrid Journal   (Followers: 2)
Streetnotes     Open Access   (Followers: 2)
Synthesis Lectures on Mobile and Pervasive Computing     Full-text available via subscription   (Followers: 2)
Tire Science and Technology     Full-text available via subscription  
Transactions on Transport Sciences     Open Access   (Followers: 3)
Transport     Hybrid Journal   (Followers: 5)
Transport and Telecommunication Journal     Open Access   (Followers: 2)
Transport in Porous Media     Hybrid Journal  
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 4)
Transportation     Hybrid Journal   (Followers: 12)
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 3)
Transportation Journal     Full-text available via subscription   (Followers: 3)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 20)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 19)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 11)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 26)
Transportation Science     Full-text available via subscription   (Followers: 14)
TRANSPORTES     Open Access   (Followers: 1)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 1)
Transportmetrica B : Transport Dynamics     Hybrid Journal  
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 2)
Urban, Planning and Transport Research     Open Access   (Followers: 1)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 4)
Транспортні системи та технології перевезень     Open Access  
Journal Cover Journal of Transportation Systems Engineering and Information Technology
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     ISSN (Print) 1570-6672
     Published by Elsevier Homepage  [2563 journals]   [SJR: 0.309]   [H-I: 8]
  • A Stochastic Dynamic Programming Approach for the Equipment Replacement
           Optimization under Uncertainty
    • Abstract: Publication date: June 2014
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 3
      Author(s): (David) Wei FAN , Randy MACHEMEHL , Mason GEMAR , Leonard BROWN
      In this paper, a stochastic dynamic programming (SDP) based optimization model is formulated for the equipment replacement optimization (ERO) problem that can explicitly account for the uncertainty in vehicle utilization. The Bellman approach is developed and implemented to solving the ERO SDP problem. Particular attention is paid to the SDP state-space growth and special scenario reduction techniques are developed to resolve the “curse of dimensionality” issue that is inherent to the dynamic programming method to ensure that the computer memory and solution computational time required will not increase exponentially with the increase in time horizon. SDP software computer implementation techniques, functionalities and the Graphical User Interfaces (GUI) are discussed. The developed SDP-based ERO software is tested and validated using the current Texas Department of Transportation (TxDOT) vehicle fleet data. Comprehensive numerical results, such as statistical analyses, the software computational time and solution quality, are described and substantial cost-savings have been estimated by using this ERO software. Finally, future research directions are also suggested.


      PubDate: 2014-07-28T03:04:02Z
       
  • Comparative Analysis of Transportation Network Design Problem under
           Stochastic Capacity
    • Abstract: Publication date: June 2014
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 3
      Author(s): Yang JIANG , Hui-jun SUN , Jian-jun WU
      The method to accurately simulate users travel behavior in the network design problem (NDP) is one of the most crucial problems. Most researches in the network equilibrium based approach to model NDP ignore the unreliability aspect of travel time. The uncertain events result in the spatial and temporal variability of network travel times, which directly contributes to the crucial decision of NDP. Specifically, the mean travel time (MTT), the travel time budget (TTB), and the – reliable mean-excess travel time (METT) are employed in the transportation network design problem under uncertain environment due to stochastic link capacity. Numerical results are presented to examine how these models affects decisions under the condition of travel time variability. The comparative analyses show that the performance of DRUE and METTUE is better than DUE which is employed in network design problem under variation degrees because of considering travel time variability.


      PubDate: 2014-07-28T03:04:02Z
       
  • One-Day Long Statistical Analysis of Parking Demand by Using Single-Camera
           Vacancy Detection
    • Abstract: Publication date: April 2014
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 2
      Author(s): Jermsak JERMSURAWONG , Umair AHSAN , Abdulhamid HAIDAR , Haiwei DONG , Nikolaos MAVRIDIS
      Many researches have focused on parking demand to gain information for traffic management recommendations and decision-making where real-world car park statistics is of great importance. This paper seeks to obtain one-day long statistical analysis of a multi-purpose off-street parking space in downtown Abu Dhabi, using a single-camera vacancy detection system. The proposed methodology to collect one-day long statistics uses pattern recognition to determine occupancy states based on visual features extracted from parking spots. This vacancy detection system has two major advantages. First, it relies on only few pixels compared with other methods, being able to cover more than 150 parking spots within a single camera frame. Second, the system works well in both nighttime and daytime - robust to changing light conditions. The accuracy is 99.9% for occupied spots and 97.9% for empty spots for this period of study. This study also proposes a better indication of parking demand when the park is near its full capacity, as the utilization rate does not capture the parking demand from the motorists who fail to find parking spaces.


      PubDate: 2014-06-14T18:11:30Z
       
  • Analysis Method of External Traffic Demand in City Area
    • Abstract: Publication date: April 2014
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 2
      Author(s): Shengwen TU , Xiucheng GUO , Xiaohui ZHANG
      To overcome the disadvantages of the existing method, a “dual four-stage” method” is put forward to analyze external traffic demand in city area considering the characteristics of external traffic. The method is carried out by two steps, and in the first step the city area is regarded as an overall traffic zone and the “four-stage” method of regional traffic demand analysis is used to obtain the total generation volumes of internal-external (IE) & external-internal (EI) trips of city area as well as the traffic volumes of both directions of all the arterial highways through the city in planning years. In the second step, the planning area of city is divided into several parts as internal traffic zones, and the external traffic zones are set near the junctions of highways and cordon line, then the “four-stage” method is applied for the second time to obtain the trip generation and distribution of IE & EI trips and (external-external) EE trips for internal traffic zones and external traffic zones in planning years. The application of the analysis on external traffic demand for comprehensive transportation planning of Zhenjiang City shows that the proposed method combines the advantages of influence area method and Cordon Line method it overcomes disadvantages of the two methods, and the results are more consistent with the real situation.


      PubDate: 2014-06-14T18:11:30Z
       
  • Bounding the Efficiency Loss of Mixed Equilibrium in the Transportation
           Network with Selfish and Altruistic Users
    • Abstract: Publication date: February 2014
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 1
      Author(s): Xiaojun YU , Wenzhuan ZHANG
      Existing research mainly focuses on the efficiency loss of homogeneous users in the transportation network while little effort has been made to explore the efficiency loss of heterogeneous users. The aim of this article is to investigate the efficiency loss of mixed traffic assignment in the transportation network with selfish and altruistic users. The selfish user chooses a travel path based on the classical user equilibrium (UE) principle and the altruistic user aims to minimize their perceived travel cost (here, the perceived travel cost of each altruistic user is a linear combination of a selfish and altruistic component). Firstly, this article establishes a Variational Inequality (VI) model to depict this mixed traffic assignment. Secondly, the upper bound of this mixed equilibrium traffic assignment is derived by analytic derivation and the relation between the upper bound and the network parameters is obtained. Finally, a numerical example is carried out to validate the analytical result. The analytical and numerical results show that the upper bound of efficiency loss is related to the maximal altruism coefficient, the minimal altruism coefficient and the link travel cost functions.


      PubDate: 2014-04-29T13:53:51Z
       
  • Simulation of Passenger Flows on Urban Rail Transit Platform based on
           Adaptive Agents
    • Abstract: Publication date: February 2014
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 14, Issue 1
      Author(s): Qi XU , Baohua MAO , Minggao LI , Xujie FENG
      Modeling and simulation of passenger flows on urban rail transit platform is a key issue in improving operation efficiency and service of level of urban rail transit, which should consider architectural environment, facilities implementation, and transportation organization. To simulate this kind of passenger for planning or evaluation, 3-layer architecture adaptive agent model is proposed to simulate passenger microscopic behaviors, which is based on visual perception module, making-decisions module, and action execution module. In respect of perception of agents, we construct a neuron-model-based perception model of environmental crowding to examine how individual URT passengers on the move represent the visual information of environmental crowding. Then, we define rules for behaviors based on cognitive heuristics for making-decisions module, and propose a discrete rule for the updating of passenger movement state for action execution module. Based on modeling passenger behavior dynamics, a microscopic simulation model for complex passenger flows on urban rail transit platform is developed. As a case study, the passenger flows scenarios of an island platform of urban rail transit station are simulated. Simulation results show that boarding and alighting passengers demand and train departure frequency have a remarkable impact on the maximum number of assembling passengers on platform and efficiency of mustering and evacuating under given conditions of building environment and facilities.


      PubDate: 2014-04-29T13:53:51Z
       
  • A Probability Model of Bicycles Crossing Vehicle-bicycle Separation Lines
    • Abstract: Publication date: December 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 6
      Author(s): Shuichao ZHANG , Kangkang HE , Renfa YANG
      Vehicle-bicycle separation lines are frequently used to isolate motor vehicles from bicycles on China's urban roads. Conflict between motor vehicles and bicycles exists in these road sections. It is regularly caused by bicycles crossing the vehicle-bicycle separation line onto the motor vehicle lane. Thus, it is imperative to research the probability of crossing travel of bicycles. First, two presumptions for bicycles to cross travel are stated. One is that bicycles need to cross the traffic marking; the other is that the space among the adjacent motor vehicle flows is available for bicycles to cross. With this observation, the probability of conflicts between motor vehicles and bicycles can be obtained as a product of their probabilities. Based on this probability, the result was summarized as follows: the probability for bicycles crossing the traffic marking obeys a negative exponential distribution, which is derived. The result was shown by theoretical analysis and was compared to actual survey data. The available probability for bicycles entering into motor vehicle flow was found by the use of a traffic survey. Therefore, a probability function was proposed with different spaces that led to a probability model for vehicle-bicycle conflicts. At last, using the survey data, the probability model proved to be correct.


      PubDate: 2014-01-08T04:37:15Z
       
  • Analysis of Micro-cars' Influence on Traffic Network Using a Microscopic
           Simulator
    • Abstract: Publication date: December 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 6
      Author(s): Rui MU , Toshiyuki YAMAMOTO
      The environmental effects and network performance of mixed traffic, consisting of micro-cars and conventional cars, on a small network are investigated using microscopic simulations. After calibrating the simulation model, the effects of three assumptions concerning micro-car speeds are investigated using the model. First, the parameters needed for network performance evaluation are determined iteratively. The power required to meet total travel demand is then computed to predict emissions. A higher ratio of micro-cars in the traffic reduces emissions, as does a lower micro-car speed. To investigate travel efficiency, the main parameters used are average speed, total travel time and total delay time. The results suggest that a higher ratio of micro-cars has a positive effect on the network when their speed is the same as or a slightly lower than that of conventional cars, while a higher ratio of micro-cars has a negative effect when their speed is close to the average traffic speed of the base model. To obtain a suitable balance between desired environmental effects and road network performance, we recommend that the desired speed of micro-cars be set to 40–45 km/h on a small urban traffic network.


      PubDate: 2014-01-08T04:37:15Z
       
  • Least-time Path Algorithm Based on Missile Guidance
    • Abstract: Publication date: December 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 6
      Author(s): Yan GONG , Sujian LI , Enhui XING
      A dynamic and real-time single-vehicle path algorithm considering system optimization is proposed by the method of simulating missile guidance. Targeted at minimizing the run-time of a single vehicle, the algorithm plans a path for the vehicle to avoid traffic congestion and help optimize the overall traffic state. This algorithm begins with preliminary path planning to find the points from which ideal paths that help balance the vehicle traffic flow can be generated. Then the algorithm plans for the ideal paths before the actual path is derived from the ideal ones. Throughout the driving process, the algorithm dynamically and cyclically plans the path in real-time, and dynamically revises the plan of the path covering the sections ahead based on the traffic state. Simulation showed that the proposed algorithm effectively enables vehicles to avoid congestion and save travel time, and helps balance the vehicle traffic flow and optimize the traffic state.


      PubDate: 2014-01-08T04:37:15Z
       
  • Effects of Friends' Information Interaction on Travel Decisions
    • Abstract: Publication date: December 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 6
      Author(s): Tianliang LIU , Chong ZHANG , Tiange WANG , Guojun WU
      Many existing studies focus on the effects of traffic information from ATIS on travel choices. Research on the effect of friends' travel information on people's travel choice is uncommon, yet needed. In this paper, behavioral experiments are conducted to discuss what the effects of information interaction with friends can bring on individual travel decision behavior. The experimental results concluded that when the rate of friends' information interaction reaches 33.3%, the whole system is at an optimal level. Furthermore, users reach an optimum when the rate of friends' travel information interaction is 75%. The average time and cost per person is increasing when the whole system optimum transfers to the user optimum. Moreover, adjustments of departure time at the system optimum are more dispersed than at the user optimum, while travel choice changes are more concentrated.


      PubDate: 2014-01-08T04:37:15Z
       
  • Urban Road Short-term Traffic Flow Forecasting Based on the Delay and
           Nonlinear Grey Model
    • Abstract: Publication date: December 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 6
      Author(s): Huan GUO , Xinping XIAO , Forrest JEFFREY
      Concerning the delay and nonlinear properties of traffic flow in urban road systems, this paper forecasts the short-term traffic flow based on the grey GM(1,1 τ,r). Firstly, the delay factor τ is determined by the speed-flow relationship when volume is greater than it capacity. Then, the nonlinear parameter r is determined by a particle swarm optimization algorithm, where the prediction effect is unsurpassed. Finally, verification of this model is done by collecting traffic flow data on one section of Youyi Avenue and comparing the prediction value of GM(1,1 τ,r) with GM(1,1) and SVM. The results show that the prediction effect of GM(1,1 τ,r) model for short-term traffic flow is significantly improved, which plays an important role in intelligent traffic systems.


      PubDate: 2014-01-08T04:37:15Z
       
  • Traffic Incident Prediction on Intersections Based on HMM
    • Abstract: Publication date: December 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 6
      Author(s): Jun ZHOU , Lin CHENG , Lingyun ZHOU , Zhaoming CHU
      The intersection is an area where many accidents occur. Reasons for accidents are due to complicated intersection designs and the congested travel conditions. For these reasons, traffic incident detection is more complicated. This paper uses the intersections of Huaihai South Road and Jiefang Road as an example. According to the vehicle operation and phase timing, the situations of two vehicle's relative movement on four phase intersections are summarized. The motion vectors of the conflicting vehicle are quantized on the basis of vehicle tracking. Then, the HMM is used to classify the traffic conflicts of the intersection. Finally, numerical experiments verify that the algorithm is able to classify the conflict when the traffic is normal. Furthermore, the algorithm can forecast the traffic accidents (such as bumping, tandem, and stop) which occurred in the intersection.


      PubDate: 2014-01-08T04:37:15Z
       
  • The Efficiency Measurement of Coastal Container Terminals in China
    • Abstract: Publication date: October 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 5
      Author(s): Dan LI , Weixin LUAN , Feng PIAN
      Following the implementation of the twelfth consecutive Five-Year Plan, the development pattern of coastal container ports in China has been shifted, which requires higher port efficiency and an improved development mode. The three-stage DEA (Data Envelopment Analysis) model is applied on the basis of input-output cross-sectional data of 42 coastal container terminals in China. The model statistically evaluates the comprehensive efficiency, the pure technical efficiency and the scale efficiency of coastal container terminals. The outcome shows that the efficiency of coastal container terminals is rather low in China, and scale inefficiency is the primary reason. There is a big difference in terminal efficiency of different port groups. The terminal efficiency of Yangtze River Delta and Bohai Rim is relatively high, but Southeast Coast and Pearl River Delta's is comparatively low. Furthermore, there is an excessive waste in the input of container terminal development in China. In the final section, suggestions are proposed for the existing problems in port developments.


      PubDate: 2013-11-05T09:02:52Z
       
  • Robust Transportation Network Design Modeling with Regret Value
    • Abstract: Publication date: October 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 5
      Author(s): Hui LIU , Chao YANG , Jun YANG
      Based on long-term transportation network design decisions and potential parameter variations, it is important that demand uncertainty is considered in transportation modeling. In this paper, we present a novel robustness measure that combines the two objectives by minimizing the expected travel time while bounding the relative regret in each scenario facing uncertain origin-destination demand (OD demand). The concept of α-robust solution is introduced into the transportation network design problem. We propose a robust transportation network design model with regret value constraints, then design an algorithm based on the genetic algorithm to solve the problem and obtain the optimal solutions for different regret values. Finally, numerical results based on the Nguyen-Dupuis network validate the effectiveness of the algorithm. While detailed analysis on trade-offs, between the expected travel time and the maximum regret value, shows that large reductions in maximum regret do not necessarily result in a great increase in expected travel time. Meanwhile, we compared the robust model presented with the stochastic model and numerical examples demonstrate that the robust planning network is more reliable and less risky than the stochastic model if demand uncertainty is considered in modeling.


      PubDate: 2013-11-05T09:02:52Z
       
  • Traffic Incident Situation Evaluation Based on Road Network Reliability of
           Invulnerability
    • Abstract: Publication date: October 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 5
      Author(s): Xinyong ZHAO , Shi AN , Haozhe CONG
      To comprehend and evaluate the severity of traffic incident situations, an unconventional traffic management strategy should measure and calculate the severity of incident situations. This paper presents a freeway network traffic incident situation evaluation model by introducing the invulnerability concept in the complex network theory and perceiving the topological structure of a road network with the help of traffic incident situations. A case analysis was conducted for the invulnerability of a regional freeway network subsystem and the overall network. The model provides a solution for incident situation comprehension from the road network structure point of view.


      PubDate: 2013-11-05T09:02:52Z
       
  • Route Selection for Railway Passengers: A Multi-objective Model and
           Optimization Algorithm
    • Abstract: Publication date: October 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 5
      Author(s): Xinfeng YANG , Lanfen LIU , Yinzhen LI , Ruichun HE
      With an increased operating speed in Chinese railways in recent years, the number of passengers traveling by trains has been significantly increasing. The research issue is regarding how passengers select their routes when there are no direct trains. Previous studies have dealt with the route selection problem as a multi-objective optimization. The study began by setting up a transportation network which encompasses the departure and terminal stations along with important intermediate stations. Then, six key factors are analyzed and formulated using a multi-objective model, consisting of the train-running time, railway fare, transfer frequencies, distances between transfer stations, transfer interval time, and travel comfort. Furthermore, a two-phase algorithm is employed to solve the model. A rapid searching algorithm for feasible routes based on the train timetable is established, then the weight vector is assigned by introducing the information entropy to obtain satisfied routes. In the end, the two-phase algorithm is tested respectively for railway passengers from Lanzhou to Beijing (with direct trains) and from Lanzhou to Changchun (without direct trains), and the results show that the proposed model and solution algorithm are efficient for obtaining satisfactory routes.


      PubDate: 2013-11-05T09:02:52Z
       
  • Monitoring the Evolution of Traffic on Main City Roads
    • Abstract: Publication date: October 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 5
      Author(s): Jinli GONG , Xianwu PENG
      In order to monitor the evolution of traffic on main city roads, a fixed-point data monitoring system is devised. Firstly, after qualitative traffic data (flow, speed, and occupancy) are acquired, they are then translated into the traffic qualitative state (congested or uncongested) by Fuzzy C-means Clustering algorithm. Secondly, the Congestion Evolution Index is determined using Rescaled Range Analysis of data mining. Finally, by taking a sequence pattern similarity measurement and applying condensed hierarchical clustering methods, the routine pattern is distinguished. Consequently, real-time outlier detection is realized by a distance-based outlier detection algorithm. This algorithm was successfully applied based on 11 days of fixed-point data on the eastern segment of the Shanghai North-South expressway, it is concluded that the outliers distributed in 12:10-13:20, 13:40-14:30 and 17:10-17:15 on September 30.


      PubDate: 2013-11-05T09:02:52Z
       
  • Public Road Transport Efficiency: A Stochastic Frontier Analysis
    • Abstract: Publication date: October 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 5
      Author(s): Jarboui SAMI , Forget PASCAL , Boujelbene YOUNES
      The objectives of this paper are to measure the technical efficiency of 64 public road transport operators in 18 countries and to investigate the degree to which various factors influence efficiency levels in these firms. Stochastic frontier analysis (SFA) methods are applied to the sample over a twelve year period from 2000 to 2011. The empirical results indicate that operating profit, investment and firm size have a significant influence on technical efficiency levels. Conclusions indicate that technical efficiency level of public road transport operators varies between 0.46 and 0.95. Observations can be made that large-size operators with more investment capacity tend to be more technically efficient than small-size operators. Finally, the results concluded that operators from developed countries are technically more efficient than those of developing countries.


      PubDate: 2013-11-05T09:02:52Z
       
  • A Bi-level Programming Model for Uncertain Regional Bus Scheduling
           Problems
    • Abstract: Publication date: August 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 4
      Author(s): Ming WEI , Bo SUN , Wenzhou JIN
      Regional bus scheduling is the future trend in public transportation which deals with allocating trips belonged to several routes to buses located at different depots to reduce the size of bus fleets and their operating costs. Considering many emergency events which may affect on-time vehicle arrivals, a bi-level programming model is applied to address the relationship between bus scheduling and its procurement scheme from an overall perspective. The model takes into consideration several constraints such as depot capacities, fueling, and emissions of polluting gases. Solutions to different situations of the upper and lower model are obtained by using a genetic algorithm. Based on some established criteria for a satisfactory solution, a series of lower solutions meeting the established criteria are generated as inputs for the upper model. Thereby, the best lower and the corresponding upper solutions are generated by comparing them. Finally, an example is illustrated to prove the accuracy and effectiveness of our model and its algorithm.


      PubDate: 2013-09-04T03:39:29Z
       
  • A Paired Combinatorial Logit Route Choice Model with Probit-Based
           Equivalent Impedance
    • Abstract: Publication date: August 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 4
      Author(s): Jun LI , Xinjun LAI , Zhi YU
      An improved paired combinatorial Logit route choice model with Probit-based equivalent route impedance is proposed to simplify the calculation and resolve the homoscedasticity problem of the Logit model. The model comprises a two-level structure: the lower level employs a binary Probit choice model to address the problem of route overlapping. Clark's approximation for normal distribution is employed to compute the equivalent impendence for each route pair in the upper level. The homoscedasticity problem is resolved through the introduction of the normal distribution. The upper level is a classical multinomial Logit model with relative impedance that reduces the defect of variance-homogeneity in the upper level. The probability of route selection is determined by marginal and conditional probabilities. The proposed model combines the advantages of both Probit and Logit models with close-form formulations, which can be easily calculated. Two numerical tests, which were performed on the well-known examples, indicate that the proposed model produces more reasonable and stable results.


      PubDate: 2013-09-04T03:39:29Z
       
  • OD Matrices Network Estimation from Link Counts by Neural Networks
    • Abstract: Publication date: August 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 4
      Author(s): Mussone LORENZO , Matteucci MATTEO
      This paper attempts to deal with traffic Origin Destination (OD) matrix estimation starting from the measurements of flow on road network links. It proposes a different approach from published articles to date, by applying multilayer feed-forward neural networks. Since the relationship between link flow and the related OD matrix is continuous, it is possible to use the well known approximation property of Neural Network models. The method is proposed for a real-time correction of the OD matrix. Two application scenarios were developed: a trial network and an actual rural network were both simulated by a micro-simulator that assigns known OD matrices. A Principal Component Analysis (PCA) technique was used to reduce the amount of variables and to achieve improved significance for input data. The estimated error was relatively low and, as opposed to analytical approaches, the processing time was almost in real time, making this approach suitable for applications in dynamic traffic management. Comparisons with results obtained by an OD estimation commercial program show better performance in the NN approach both as regards error and computing time.


      PubDate: 2013-09-04T03:39:29Z
       
  • A Neural Network Model for Expressway Investment Risk Evaluation and its
           Application
    • Abstract: Publication date: August 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 4
      Author(s): Zuogong WANG , Huiyang LI , Yuanhua JIA
      Investment risk evaluation of expressways plays a significant role in the sustainable development of expressways. A consideration of the inconsistency between operation accuracy and operation efficiency of the traditional quasi-3-layer BP neural network evaluation model is first established. This paper proposes and designs a variable-structure neural network model in the random re-linking process from the input layer neurons to the hidden layer neurons. Then, the model acquires the hidden layer to the output layer from the angle of structural optimization. Secondly, in view of the characteristics of the Chinese expressway investment, this paper develops an expressway project investment risk evaluation index system. Furthermore, a design of the expressway project investment risk evaluation model is completed based on the variable-structure neural network of the re-linking random process. In addition, the model has been verified with ten Chinese expressway projects. The risk evaluations have been conducted for four of the ten expressway projects. The research result shows that the average relative error predicted with such model is 1.91% and the maximum relative error is 2.63%. Therefore, the prediction result is deemed suitable.


      PubDate: 2013-09-04T03:39:29Z
       
  • Estimating Smart Card Commuters Origin-Destination Distribution Based on
           APTS Data
    • Abstract: Publication date: August 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 4
      Author(s): Chen Jun , Yang Dongyuan
      Increasing the proportion of commuters travelling by public transportation can effectively ease urban traffic congestion. This paper addresses the application of Advanced Public Transportation Systems (APTS) data to analyze transit commuters travel demand. This study involved collection of APTS data and boarding stops information by combining smart card data and intelligent dispatching data. Transit commuters were judged according to travel frequency of morning and evening traffic peaks. The residences and work places were identified by spatial-temporal characteristics of commuters travel. Based on this idea, an estimation algorithm was proposed. The algorithm was tested and analyzed using large-scale APTS data. Finally, the method's accuracy was analyzed by comparison with the “Trip-chain” method. The proposed method provides some advantages including, high accuracy and strong operability. The study provides a fast and economic new approach to acquiring transit commuters Origin-Destination (OD) distribution.


      PubDate: 2013-09-04T03:39:29Z
       
  • A Dynamic Generalized Cost Based Logit Model for Passenger Corridors
    • Abstract: Publication date: August 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 4
      Author(s): Qipeng SUN , Lei ZHU , Bo CHEN
      In order to scientifically compute the supply allocation of various transportation modes for passenger corridors, a dynamic generalized transportation cost based Logit model is proposed according to the theory of random utility and discrete choice model. The model's robustness and accuracy were verified via MATLAB programming using the Zhengzhou-Xi'an Passenger Corridor as a study case. The analysis result indicates that transportation construction cost changes with the share, which is influenced by travel time and the random perception coefficient. Compared with existing models, the changes of sharing rate and that of transportation construction costs in this paper are not in the same direction. For the dynamic changing of generalized transportation costs, the sharing rate calculated only by a static travel time and ticket price is unreliable. The model proposed in this paper cannot only meet the individual demands of travelers, but can also keep the sustainable operation of transportation. The sharing rates calculated by the model for the Zhengzhou-Xi'an Passenger Corridor are more reasonable than those calculated by traditional models.


      PubDate: 2013-09-04T03:39:29Z
       
  • A Pricing Method for Small-size Cargo Express Service in Long Distance
           Highway Transportation
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Xi'an SUN , Xuefei LI , Hua CHENG
      After a survey of 10 long-distance highway passenger transportation stations in Beijing, we found that 50% of the stations do not provide express services for small-size cargo. Passenger stations that provide such services have a low profit. The main reason is that there is no effective pricing method for small-size cargo express services. To address this issue, we first looked at the operating costs of all the parties involved in small-size cargo express services. According to the customers' freight transport demand function, we propose a model for determining the price of small-size cargo express services with an objective function of maximizing the starting station's revenue. Based on the model, necessary conditions are specified in order for passenger stations and companies to operate such businesses. Furthermore, a method of fitting the transportation demand function is provided based on actual operations and services. Finally, a numerical example is given to illustrate the application of the proposed pricing method for small-size cargo express services.


      PubDate: 2013-07-06T08:04:07Z
       
  • Competition Model of Container Road Transportation Market
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Gang DONG
      Considering two major factors of truck transportation service and freight forwarding quote to the sensitive shipper, this study proposes a market competition model of container road transportation. The model involves more competitive truck operators and one freight forwarder and solves the game equilibrium through backward induction. The results indicate that with application of value-added service, truck operators receive lower profit due to burden cost of the upgrading service. However, the demand satisfaction of truck transportation market significantly increased, and the overall profit of truck operators and freight forwarder witnessed an increasing trend. Therefore, to motivate value-added service of truck operator, the reasonable benefit distribution mechanism needs to be established between truck operators and freight forwarder, which provides benefits for the healthy development of truck operator and container transportation chain.


      PubDate: 2013-07-06T08:04:07Z
       
  • A Calculation Method and Its Application of Bus Isochrones
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Jihua HU , Zhifeng CHENG , Guangpeng ZHONG , Ze HUANG
      Bus isochrones indicate the maximum scale of bus system can extend during one time interval. A calculation method of isochrones is proposed in this paper and it can be applied to the analysis of public transport accessibility. The travel process by bus is analyzed and divided into five parts: walking to the bus stop from departure, waiting for buses, boarding buses, transfer and walking to the destination. Specific calculation methods of time cost are proposed for each part, respectively. Then, the isochrones are by the grid method and the inverse distance weighting method. The bus GPS data of Guangzhou, China is used to draw the isochrones maps and to demonstrate the Tee mall. Furthermore, the space-time accessibility is measured in the covering area of a unit time isochrones and the accessibility differences of different directions are then analyzed through profiles.


      PubDate: 2013-07-06T08:04:07Z
       
  • Intercity Rail Transport Pricing Strategy Based on Efficacy Coefficient
           Method
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Keqi WU , Baohua MAO , Yongliang WANG , Quanxin SUN
      By utilizing the efficacy coefficient method, this study proposes a multi-criteria modeling approach for the reasonable pricing decision of intercity rail passenger transport. The proposed model aims at minimizing the average travel time and energy consumption per passenger-trip for an intercity rail passenger transport system. It is empirically confirmed that the variation of the ticket price imposes significant influence upon the transport ratios of different travel modes. It is proved that the average travel time per passenger-trip and the system energy consumption declines with the reduced fare. As for the operation of rail passenger transport system mentioned in the case study, if its fare is adjusted to 55.8 yuan/passenger-trip, the average travel time and energy consumption per passenger-trip decrease by 7.8% and 2.1%, respectively. This study is able to assist the sensible decision-making of ticket price, which can also effectively promote the operation efficiency and sustainability of an intercity rail transport system.


      PubDate: 2013-07-06T08:04:07Z
       
  • A Quantitative Analysis of Carbon Emissions Reduction Ability of
           Transportation Structure Optimization in China
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Qingqi WEI , Songzheng ZHAO , wei XIAO
      In order to develop a low-carbon emissions transportation system, it is important to study the carbon emissions reduction ability of transportation structure optimization. Based on analysis of the impact of transportation structure on carbon emissions, this paper employed a quantitative approach and time series data (1989–2009) to analyze the effect of transportation structure on carbon emissions in China. In this study, a quantitative approach of the decomposition analysis and the impulse response function were combined. Measurements of the quantity change in carbon emissions caused by the transportation structure factor were obtained along with the responses of the carbon emissions to the impulse of the transportation structure optimization. The relationship between transportation structure and carbon emissions was discussed based on empirical results, including: (1) short- and long-term influence of transportation structure on carbon emissions; (2) comparative analysis of transportation structure and other principal factors; (3) the dynamic interaction mechanism between transportation structure and carbon emissions. The outcome of this study proved to be valuable for researchers and decision makers in this field.


      PubDate: 2013-07-06T08:04:07Z
       
  • Time Gap Modeling using Mixture Distributions under Mixed Traffic
           Conditions
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Subodh Kant DUBEY , Balaji PONNU , Shriniwas S ARKATKAR
      The time-gap data have been modeled through non-composite distribution up to a flow level of 1,800 vph. It has been found that these models are not capable of modeling time gap data at higher flow levels. Some composite distributions have been proposed to overcome this problem. But, due to the fact that the calibration of model parameters used in composite distributions is tedious, there use may be relatively limited. In this paper, five mixture models namely Exponential+Extreme-value (EEV), Lognormal+Extreme-value (LEV), Weibull +Extreme-value (WEV), Weibull+Lognormal (WLN) and Exponential+ Lognormal (ELN) have been used to model time gap data for flows ranging from 1900 vph to 4100 vph. Two types of goodness-of-fit tests namely cumulative distribution function (CDF) based and two-sample (Cramer-von Mises test) & K-sample (Anderson-Darling test) based tests were performed. Among all the five models, Weibull+ Extreme Value was found to be the best mixture model for modeling time gap data as it performed consistently well in Cramer-von Mises test and K-sample Anderson-Darling test.


      PubDate: 2013-07-06T08:04:07Z
       
  • Energy Consumption Driving Factors and Measuring Models of Regional
           Integrated Transport System
    • Abstract: Publication date: June 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 3
      Author(s): Qipeng SUN , Jiao JI , Cheng XU
      To identify the energy consumption driving factors and measure their corresponding contributions in energy consumption, the paper classifies the factors into scale effect, structure effect and technique effect according the driving mechanism. It then analyzes the correlations between these factors by ASIF data structural principles and the time series regression. The contributions of these factors are measured via the expanded LMDI decomposition model based on the LMDI method. The result indicate that: (1) the impacts from scale effect and technique effect are weakening, while that from structure effect is increasing; (2) the transport supply structure needs to be further optimized, and there exists plenty of space for reducing the impact on energy consumption; (3) the energy efficiency has increased a lot in recent years, but its contribution to energy consumption is shrinking. Improving the transport intensity exerts significant effect on saving energy. The reliability of the models and its conclusions is proved by empirical studies, which provides scientific supports for the policy making of regional low-carbon integrated transport.


      PubDate: 2013-07-06T08:04:07Z
       
  • Traffic State Forecasting of Typical Roads in Beijing
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Mingzhe WANG , Min GUO
      The comprehensive analysis of traffic states are effective ways to eliminate some traffic problems and enhance the supervising ability of the traffic management departments, which includes real-time monitoring, evaluation and prediction the states of the entire city. With analyzing the traffic flow characteristic on several typical roads in Beijing and summarizing the existing traffic prediction models, this paper proposes a combination forecasting model. It is mainly based on the nonparametric regression model. The combination of Fourier's history estimated model, nonparametric autoregressive model and nonparametric neighborhood regression model are used to predict the traffic state of typical Roads. Considering the reality of the traffic flow information collection system of Beijing and the needs of predicting information released by graphical way in the future, the paper also presents the heterogeneous data fusion methods and road traffic code model.


      PubDate: 2013-05-11T03:36:13Z
       
  • Effect of Road Traffic Congestion on Aviation Passenger's Flight Choice
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Di CHEN , Ning ZHANG , Jian LIU
      This paper investigates how passengers choose flight times in view of ground traffic congestion. The departure time choice model of aviation passengers is developed by extending Vickrey's bottleneck model. The conditions are determined for the existence of the user equilibrium in the model. Then, the range of the difference between the airfares is established while the number of aviation passengers choosing the same flight time remains unchanged at the user equilibrium. Moreover, the tendency of the total queuing time and the incremental airfare revenue is derived along with the difference between the airfares. The results show that the number of aviation passengers is jointly determined by the flight time and the bottleneck capacity for different schedules. Under the given passenger volume, the total queuing time (traffic congestion) can be reduced or the incremental airfare revenue can be increased by properly adjusting the airfares difference. Two numerical examples are presented to demonstrate the principle and its application.


      PubDate: 2013-05-11T03:36:13Z
       
  • A Crew Scheduling with Chinese Meal Break Rules
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Shijun CHEN , Yindong SHEN , Xuan SU , Heming CHEN
      An efficient crew scheduling can significantly reduce the operational cost for transit enterprises. However, the crew scheduling problem, known to be NP-hard, is complicated by the fact that there are many restrictions on the shift generation. Moreover, there are some special requirements in China, for example, meal break is normally required to be taken during the conventional time ranges for lunch or dinner, which is called a Chinese meal break rule to distinguish from the western ones. It also makes the existing crew scheduling approaches encountering difficulties. On the basis of the “generate and select” approach to solve the crew scheduling problem, this paper proposes an approach to handling the Chinese meal break rule in the phase of “generate”. Taking advantages of the characteristics of Chinese meal break rule and problem domain knowledge, a heuristic-based approach is proposed to select some promising relief opportunities (ROs). A shift generation approach is then devised to generate a large set of potential shifts that satisfy the Chinese meal break rule. Experimental results from 12 groups of real-world problem instances demonstrate the success of the proposed approach, which can greatly reduce the number of potential shifts generated. Therefore, it is suggested that the proposed approach be used to solve the large scale crew scheduling problems with Chinese meal break rule.


      PubDate: 2013-05-11T03:36:13Z
       
  • A Traffic Kinetic Model Considering Desired Speed
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Shoufeng LU , Gaihong LIU , Ximin LIU
      In this paper, the desired speed variable is introduced into the ‘table of games’ and a new ‘table of games’ and corresponding traffic kinetic model are then formulated. The hybrid programming technique of VBA and MATLAB is used to develop the computational engine for the proposed model. The study focuses on the effect of desired speed on the speed-density curve. With one desired speed, the relationship between average speed and density is investigated under different road conditions and desired speeds. With multiple desired speeds, an investigation is carried out on the effect of the coefficient of variation on average speed, and the effect of percentage of low desired speed vehicles on average speed. An important factor influencing average speed is the variation of the desired speed. When density is low, traffic flow is in an individual flow pattern, and the average speed of the traffic flow is determined by the variation of the desired speed. When density is high, traffic flow is in a collective flow pattern, and the average speed is determined by density.


      PubDate: 2013-05-11T03:36:13Z
       
  • Modeling Optimal Fare and Service Provisions for a Crowded Rail Transit
           Line
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Feifei QIN , Haicheng JIA
      To relieve worsening traffic congestion and protect the deteriorating environment, many cities in China start to operate rail transit lines. However, the expected modal shift will only occur if the rail transit system offers great advantages over road transport modes. To this end, designing efficient operational arrangement has far-reaching impacts not only on rail transit itself, but also on the overall urban transport system. Focusing on a crowded rail transit line, this paper aims to jointly optimize fare, frequency and number of carriages under advocated management objectives. Factors that enter into this joint optimization include negative externality arising from noise pollution, the adverse effect from in-vehicle crowding and positive externality from road congestion relief. To assess whether the rail transit line in a given corridor is priced efficiently and the service provision is appropriate, detailed numerical calculations are carried out for one representative Chinese city—Suzhou. A synthesis of theoretical and empirical analyses depicts: compared with profit optima, social welfare optima are characterized with lower fares, greater frequency, more number of carriages and higher ridership; the change from the current operational arrangement to social optimum would call for reducing fares, increasing frequency and adopting more carriages.


      PubDate: 2013-05-11T03:36:13Z
       
  • Path-Flow-Based Cross-Resolution Conversions for Simulation Model
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Peng DU , Zongzhong TIAN , Xuesong ZHOU
      Sub-area traffic analysis is one of critically needed capabilities in practical traffic engineering applications. This paper aims to develop a fully automated network conversion and calibration tool to assist engineers easily extract a portion of a macroscopic planning network to construct a consistent sub-area of interest, and then convert it into a detailed model suitable for microscopic simulation. A cross-resolution simulation (CRS) method is adopted in this paper, which allows a rapid extraction of selected sub-areas from a regional planning network with OD matrix, and a lane-based expansion of the network topology, a consistent regeneration of subarea path flow and link volume. This paper integrates the above-mentioned key modeling components into an open-source package and conducts a case study to demonstrate its effectiveness.


      PubDate: 2013-05-11T03:36:13Z
       
  • An Evaluation on Coordinated Relationship between Urban Rail Transit and
           Land-use under TOD Mode
    • Abstract: Publication date: April 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 2
      Author(s): Binglei XIE , Chuan DING
      This paper establishes an evaluation index system of coordinated relationship between urban rail transit and land use under TOD mode. The evaluation results and rank are generated by the improved DEA model. Different input/output indexes are standardized through further analysis of different indexes' slack variables and surplus variables. The influencing degrees of different index factors to the coordinated relationship are examined. The improved directions of DEA invalid decision making units (DMU) are also analyzed through the DEA projection theory, which provides an improved reference to the invalid DMU. A case of Allegheny country in U.S. is conducted to verify the evaluation method, and the results show that the evaluations match well with the real situations. It is an effective way to evaluate the coordinated relationship between urban rail transit and land use under TOD mode.


      PubDate: 2013-05-11T03:36:13Z
       
  • Perception Updating Based Stochastic Dynamic Assignment Model
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      Traffic network systems endogenously display both stochasticities and dynamics with vehicle flows formed from aggregated travelers in response to their previous experiences and the information provided by Advanced Traveler Information Systems (ATIS). In consideration of the day-to-day trip-making decisions of travelers, a perception-updating-based stochastic dynamic assignment model is proposed to describe the evolution of the traffic network flow pattern. In this model, the route flows are treated explicitly as random variables and the distribution of them is proved to asymptotically converge to a stationary probability distribution. A simulation algorithm is developed for implementing the model. Numerical results under two scenarios, with and without ATIS, are also provided for comparing the stochastic dynamics of route flows.


      PubDate: 2013-03-16T04:36:17Z
       
  • Intercity Train Operation Schemes Based on Passenger Flow Dynamic
           Assignment
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      This paper summarizes the research status of intercity train operating scheme. To precisely describe the interaction between passenger flow and operating scheme, it proposes assumptions of system closure, train type division, passenger flow dynamic assignment and selecting priority during the process of establishing model. Based on these, it describes relative variables and formulates the passenger flow dynamic assignment model to reflect the conversion process of different passenger types. Then it develops a multiple objective programming model considering maximum railway department revenue, the smallest passenger total expenditure and the maximum passenger demand. It also uses the genetic algorithm to solve the established multi-objective 0-1 integer programming model. Finally, a numerical example is provided to illustrate the effectiveness of this algorithm of model.


      PubDate: 2013-03-16T04:36:17Z
       
  • Timing Oversaturated Signals: What Can We Learn from Classic and
           State-of-the-Art Signal Control Models
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      Many signalized intersections in the United States are operating in oversaturated conditions during the morning and afternoon peak hours. Unlike under-saturated intersections, for which many well-established theories and signal timing policies have been developed, consensus has not been reached with regard to the control philosophy and timing strategy of oversaturated signals. For an isolated intersection, a common belief is that timely and efficient allocation of green time among the intersection approaches is essential to optimize traffic flows. A couple of the studies in the past have resulted in reasonable control policies that could possibly be implemented. However, the advantages and limitations of these strategies remain unrealized due to a lack of effective evaluation. This paper conducts an in-depth investigation to the characteristics and applicability of the control policies through thorough examination of two typical groups of classical models. The performance of the classic models is then compared with the latest versions of TRANSYT-7F and Synchro, upon which guidelines are made for effectively implementing signal control polices for oversaturated intersections.


      PubDate: 2013-03-16T04:36:17Z
       
  • GPS Dynamic Filter Algorithm Based on Lifting Wavelet Transformation
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      It is difficult to establish a precise mathematical model of dynamic filtering for vehicle GPS navigation with Kalman filtering. And the traditional wavelet transformation has some shortness in real-time processing. This paper proposes a GPS dynamic filter algorithm based on the lifting wavelet transformation (LWT). It first decomposes the vehicle GPS navigation signal with the LWT. Then, it detects, eliminates and corrects the signal's gross error at different LWT resolution levels with statistical 3srule and polynomial interpolation method. The signal's noise is de-noised at different LWT resolution levels with modulus square soft-threshold de-noising method. Finally, the algorithm realizes real-time dynamic filtering for the vehicle GPS navigation system through reconstructing the de-noised LWT coefficients. The simulation results show that the algorithm is more effective than the Kalman filter in positioning precision. Compared with the traditional wavelet transformation, the speed is doubled for dynamic filtering even though the proposed algorithm only has little advantages on the positioning accuracy. Therefore, the algorithm is available for vehicle GPS navigation system.


      PubDate: 2013-03-16T04:36:17Z
       
  • Complex Dynamics for Airlines' Price Competition with Differentiation
           Strategy
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      To investigate the complex dynamics for airlines' price competition, this paper proposes a price competition model of airlines with differentiation strategy and with the theory of bifurcation of dynamical systems. The existence and stability of equilibrium points of the model are discussed according to dynamic stability criteria. The complex dynamics of this model in different market parameters are shown though numerical simulation. The simulation results show that the speed of price adjustment has a significant impact on the stability of the model, while the speed of price adjustment is larger than critical value, and the phenomenon of bifurcation and chaos will appear on the dynamic system. Compared with the Nash equilibrium profits, all airlines' profits are decreased obviously when chaos is occurred. Differentiation has an important impact on airlines' price and profits, it's helpful to have more competition advantage that to keep and strengthen the differentiation advantage against the competitors.


      PubDate: 2013-03-16T04:36:17Z
       
  • Optimal Offline Cycle Length Model Based on Online Bus Priority Demand
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      Cycle is one of the most important parameters of traffic control system which has many effects on the delay of buses. The basic requirement of bus signal priority is to decrease bus delay at intersections. First, the optimal cycle length model under the condition of bus signal priority is built by giving different weight to vehicles and buses. Then, a four-phase signal controlled intersection which has an exclusive bus lane is adopted to validate the optimal cycle length model and analyze the effects of different weight. The results show that the optimal cycle for buses and vehicles is not equal. And the weighted optimal cycle length model can make a trade-off between buses and vehicles. Finally, the appropriate on-line increment of cycle can further reduce the delay of buses and would not affect the non-priority vehicles.


      PubDate: 2013-03-16T04:36:17Z
       
  • Urban Road Traffic Condition Pattern Recognition Based on Support Vector
           Machine
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      As an important part of the modern intelligent transportation system, urban transport condition recognition is the base of intelligent control, guidance and synergy system. This paper establishes a three-dimensional space with traffic volume, average speed and occupation ratio. It then classifies transportation condition patterns in terms of blocking flow, crowded flow, steady flow and unhindered flow based on wide literature review. Furthermore, this paper presents the algorithm with the MATALB LiBSVM toolbox. To process the data, this paper compares the classification result of different SVM kernel functions and thus realizes the transport condition pattern recognition via the support vector machine (SVM). The results reveal that the selected indexes effectively reflect the characteristics of the traffic conditions. The SVM kernel function can separate different patterns from traffic flows with high classification accuracy, and the data normalization has a significant influence on the result of classification.


      PubDate: 2013-03-16T04:36:17Z
       
  • The Value of Statistical Life in Road Traffic Based on Logit Model
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      The value of a statistical life (VOSL) in road traffic is an important index for economic evaluation on road safety programs. The VOSL model is established based on the binary Logit model. Then the route-choice questionnaire is designed based on the stated choice method (SCM) and the orthogonal experiment method. The survey is implemented regarding Dalian private drivers as respondents. Finally, the model is estimated based on the SCM data by Gauss. The result indicates that the VOSL in road traffic for Dalian private drivers is about 360,000 RMB, and the model has a high accuracy. Moreover, the VOSL in road traffic is significantly influenced by four individual characteristics such as one's monthly income, traffic experience, car insurance and education background.


      PubDate: 2013-03-16T04:36:17Z
       
  • Assembling Model and Algorithm of Railway Passengers Distribution
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      Computer simulation technology is applied to acquire and process passenger flow distribution and assembling. It also provides reference for layout of station facilities and complication of station operation and management plan. On the basis of the investigations on Beijing South Station and analysis of the rule of arrival passenger in the waiting room, the distribution density function is proposed and the passengers' arrival simulation model is developed. Then, the paper presents the passenger regularity arrival algorithm for simulating the arrival waiting process of passengers. The passenger flow simulation system is designed and the assembling calculation method is presented with simulation. According to the time and space distribution characteristics of passenger flow at Beijing South Station, the simulation experiment is conducted to observe the passenger flow dynamic distribution based on the train schedules. The rationality and effectiveness of the proposed model is thus verified.


      PubDate: 2013-03-16T04:36:17Z
       
  • Space P-Based Empirical Research on Public Transport Complex Networks in
           330 Cities of China
    • Abstract: February 2013
      Publication year: 2013
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 13, Issue 1

      The current empirical studies on public transport network of the cities in China are still limited to several large cities such as Beijing, Shanghai and Guangzhou. And the researches on whether the common topologies of public transport network for cities in different scales do not rely on some extend factors such as population, society or economic, and the researches on the evolutionary mechanisms of public transport network are still limited. This paper studies the public transport networks of 330 cities in China based on the space P concept. Statistical results show that the degree distribution of all networks can be described by an exponential function. It reveals that the evolution mechanism of public transport network is randomly connected instead of preferential attached. All the networks show typical small-world behaviors which characterized by larger clustering coefficient and smaller average shortest path. A transition between the dissortative small networks N<1,000 and assortative large networks N7gt;1,000 is observed. Average clustering coefficient of nodes with degree k decreases with k as a power law, shows that city bus transfer networks are well characterized by hierarchical modularity. The results of this study may provide guidance and reference for researches on evolution mechanism of urban public transport systems and transport network evolution modeling.


      PubDate: 2013-03-16T04:36:17Z
       
  • Competition between Wuhan-Guangzhou High-speed Railway and Civil Aviation
           Based on Disaggregate Model
    • Abstract: December 2012
      Publication year: 2012
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6

      With the operation of high-speed railways, the market share of air transportation has certain decrease, and there exist intense competitions between these two modes. Bases on the field data from the Wuhan-Guangzhou high-speed railway and the data from some air companies, this paper, develops a competition binary Logit model for Wuhan-Guangzhou high-speed rail and air transport with the non-set design model and relevant principles. The stated preference (SP) data are revised under revealed preference (RP) data, and the competition degree between high-speed railway and air transportation are measured by different air ticket price discount. The results indicate that when the ticket price discount of Wuhan-Guangzhou air is higher than 30%, there exist keen competitions between the high-speed railway and air transportation, and the higher the discount is the more competitions exist. This research is beneficial for balance the development of high-speed rail and air transportation and avoiding blind competitions of these two modes.


      PubDate: 2013-01-11T09:20:10Z
       
  • Cointegration Relationship of Regional Integrated Transport Demand and
           Industrial Structure
    • Abstract: December 2012
      Publication year: 2012
      Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6

      In order to reveal the connection between regional integrated transport demand and industrial structure, the paper adopts the cointegration theory to analyze the interaction of freight and passenger traffic volume and the value of primary, secondary and tertiary industry in Shanghai. The result reveals that there exists long-term equilibrium relationship respectively between freight/passenger traffic volume and the value of secondary/tertiary industry. The development of primary industry does not account for the increase of either passenger transport demand or freight transport demand. Using freight traffic volume per gross domestic product (GDP) to forecast freight transport demand is no longer suitable for industry developing direction nowadays. The freight traffic volume Granger causes tertiary industry and the tertiary industry Granger causes passenger traffic volume in the 10% confidence level. Meanwhile, the short-term elasticity of passenger volume logarithm due to tertiary industry logarithm is 1.15 while the long-term elasticity is 0.41. Thus, it is reasonable to predict passenger transport demand using passenger traffic volume per tertiary industry value. Passenger traffic volume and tertiary industry has a bidirectional causal relationship in the 25% confidence level. However, the promotion of tertiary industry to passenger transport demand is stronger than that of the latter to the former. It means that the modest leading development of transport systems would be helpful for the economic development and the structural adjustment of industry in China.


      PubDate: 2013-01-11T09:20:10Z
       
 
 
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