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Journal of Transportation Systems Engineering and Information Technology

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ISSN (Print) 1570-6672
Published by Elsevier

[2564 journals]

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
CA-Based Urban Land Use Prediction Model: A Case Study on Orange County, Florida, U.S.
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  For a long time, interactions between land use and transportation have been one of the research hotspots in urban planning, which however, has not been investigated in much detail until recently. This paper started from spatial changes of regional land use, with an objective of understanding the relationship between trip generation and urban land use. Cellular automata and geographical information system techniques were used to store and update the spatial data dynamically. In addition, MATLAB software was adopted to conduct the logistic regression using land use/land cover data from Orange Country, Florida, U.S. (1990 and 2000). With fully utilizing the advantages of cellular automaton models, simulation results indicate the enhenced reliability of the model, which consequently assists to understand evolution of urban land uses.
  
  PubDate: 2013-01-11T09:20:10Z
Time Gap Modeling under Mixed Traffic Condition: A Statistical Analysis
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  This paper attempts to model vehicular time gap, which is defined as the time interval between any two successive arrivals of vehicles at a reference point of measurement on a road segment. Such an approach is justified under the non-lane-based heterogeneous traffic conditions prevailing in developing countries such as India, characterized by many “zero” time gaps due to simultaneous arrivals within a given road width. In addition, time gap data are characterized by a significant amount of data in the tail region due to long headways. Nevertheless, many researchers of time gap modeling have used light-tailed distributions that modeled time gaps satisfactorily due to two reasons: (a) The tail data was merged into a single bin; and (b) goodness-of-fit tests such as the Chi-square test, which has many limitations, were used. Further, some researchers have suggested different distributions for the same range of traffic flows, leading to ambiguity in distribution selection. In addition, bin size, which dictates the degree of fit of any distribution, has been ascribed very less importance in time gap modeling. Hence, this paper tries to consolidate and standardize the existing research in time gap modeling research by addressing all these issues. Two new distributions, namely Generalized Pareto (GP) and Generalized Extreme Value (GEV) with better tail modeling properties, have been proposed along with other conventional distribution to model vehicular time gaps over a wide range of flow from 550 vph to 4,100 vph. Two types of goodness-of-fit tests, namely Area-based and Distance-based tests, have been used. It has been found from the study that GP distribution fits the time gap data well (overall and tails) up to a flow range of 1,500 vph based on both kinds of tests, and GEV fits the data well for the flow levels above 1,500 vph based on the area test only.
  
  PubDate: 2013-01-11T09:20:10Z
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
Parameters Calibration of Traffic Simulation Model Based on Data Mining
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  Aiming at the limitation of the classical speed-density model on describing the dynamic change characteristics of the traffic flow, this paper put more road detected information in the process of parameters calibration of traffic simulation model. After preprocessing the detector data, the data mining methods are used to calibrate the vehicle speed. It also proposes a novel locally weighted regression based on agglomerative hierarchical cluster. It first clusters the training samples and uses the agglomerative hierarchical clustering algorithm to establish a clustering tree for each constraint-clustering. Then it applies the k-nearest neighbor method to cluster new stage samples into the best fit clustering. Finally, the vehicle speed is estimated. The vehicle density, densities and flows are taken as the variables. The test with a huge of field data shows that the proposed algorithm performs well on parameters estimation precision and efficiency. It is appropriate for DTA based simulation.
  
  PubDate: 2013-01-11T09:20:10Z
Empirical Analysis on Flight Flow Network Survivability of China
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  From the aspect of the complex network, this paper makes empirical analysis on the flight flow network structure of China from 2001 to 2010. The calculation of network statistical indicators reveals that the flight flow network has the small-world characteristics and the scale-free property. Then two indicators, the decline rate of the maximum connected sub-graph size and the decline rate of the overall efficiency are proposed to study the network survivability. Comparative analysis is conducted for different years, which indicates that the survivability of China flight flow network has an increasing trend and the network is more dependent on several key airports. Comparative analysis is also made for various attacks, which demonstrates that the flight flow network has strong robustness against random attack, but is vulnerable to deliberate attack. The reliability of the entire network is dominated by a few major airports, thus, the safe and effective operation of these airports should be ensured and it is essential to build some multi-hub systems in the future.
  
  PubDate: 2013-01-11T09:20:10Z
Model and Algorithm of Regional Bus Scheduling with Grey Travel Time
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  The regional bus scheduling is the future trend of urban public transport development. It focuses on assigning trips belonged to several routes to buses located at different depots to reduce fleet size and operating costs. With consideration of the emergencies in reality interfering with vehicles to complete a trip on time, this paper studies regional bus scheduling problem with grey travel time to meet some side constraints such as multi-vehicle-type, depots capacities and fuelling, etc. The model is resolved by the improved ant colony algorithm to prepare a lowest-cost scheduling scheme. The proposed scheduling method is easily operated and can be used for different situations. At the last section, an example proves the correctness and effectiveness of the model and algorithm.
  
  PubDate: 2013-01-11T09:20:10Z
Overloaded Vehicle Choice Behavior Analysis Based on Nested Logit Model
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  To effectively control the overloaded transportation, the trip choice behavior of the overloaded vehicle should be deeply examined. A overloaded vehicle usually makes a series of decisions according to the overloaded level, trip line, etc., to get the maximized economic benefit. Different trip decisions often generate different trip cost of overloaded vehicles and trip benefit. Based on the study of decision behavior and trip utility of carriers who use overloaded vehicles to travel, the nested Logit model is developed considering the hierarchical relationship between the degree of road overloaded vehicles and the trip route for the carriers travel. Based on the probability and quantitative method, the trip decision behaviors of those overloaded vehicles are analyzed, which offers scientific references for the management of overloaded vehicles and the theories of compensation rate of pricing.
  
  PubDate: 2013-01-11T09:20:10Z
Empirical Research of Intercity High-speed Rail Passengers' Travel Behavior Based on Fuzzy Clustering Model
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  High-speed rail (HSR) is a rising industry in China and its development will be accelerated in the future. An empirical research is conducted to analyze passengers' travel behavior and selection preference factors before and after the completion of Beijing-Tianjin intercity HSR using fuzzy clustering model. The results indicate that through improving the transportation capacity between cities, HSR can create and release multiple travel activity needs such as for business, visiting relatives and friends, leisure activities, etc. It can also help strengthen the economic and social intercity interactions. It is also clarified that “speed” is the symbolic competitive advantage of HSR. The improvement for HSR's security and service should be based on reasonable speed. The empirical results clearly prove that HSR is a win-win transportation industry that is beneficial for individual, city and the nation. It will get satisfactory service evaluation through improving travel conditions and is worth further promotion.
  
  PubDate: 2013-01-11T09:20:10Z
Impact of Traveler Information on Road Network Travel Time Reliability
- Abstract: December 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 6
  
  To investigate the provision of traffic information on road network travel time reliability, the travelers are divided into two classes: travelers equipped with advanced traveler information systems (ATIS) and travelers unequipped with ATIS. A route choice behavior model considering information guidance is formulated as a mathematical program based on the mixed stochastic user equilibrium modeling approach in conjunction with the assumption is that two classes of travelers made their route choices in a Logit-based stochastic manner. The link capacities are treated as truncated normal random variables considering the fact that link capacity can only vary between 0 to link design capacity. With the above considerations, a travel time reliability evaluation method with degradable link capacity under influence of traveler information is proposed using the Monte Carlo simulation technique and network equilibrium flow solution algorithm. Some numerical studies on a small road network are conducted to validate the proposed method, the results show that: road network travel time reliability increases with the quality of information and/or the market penetration of ATIS, but the marginal effects of them are decreasing; for a road network with more higher traffic demand, the provision of traveler information can significantly improve road network travel time reliability.
  
  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
Real-time Arterial Performance Measurement Using BRT Probe Data and Signal Timing Data
- Abstract: June 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 3
  
  Real-time arterial travel time estimation has been a very challengeable task due to the complexity of urban street traffic behaviors and lack of high resolution and high quality data. However, travel time information is considered as one of the most important tools to manage arterial flow. This study developed a series of data processing methods to estimate arterial travel time and LOS based on real-time BRT bus data and signal timing data. BRT buses have a few advantages over local buses to serve as probe vehicles to measure arterial performance. A few data processing procedures were introduced in this paper to estimate the arterial travel time by converting bus trajectory to general traffic travel time. The arterial travel time is estimated by adding the bus queuing delay, average traffic signal waiting time, and free-flow travel time. To verify the effectiveness of the developed method, a field test was conducted. The Valley Transportation Authority (VTA) BRT buses together with Intelli Drive corridor were selected as the data sources. The testing results demonstrate that the proposed method estimated arterial travel time and level of service well based on BRT probe data and traffic signal data. The root mean square error (RMSE) and root mean square percentage error (RMSPE) for the estimation of travel time are 49 seconds and 9%, respectively. The accuracy for the estimation of LOS is 73%.
  
  PubDate: 2012-12-18T09:19:47Z
Stochastic Traffic Assignment Considering Road Guidance Information
- Abstract: June 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 3
  
  A Logit-based stochastic traffic assignment method considering the acceptance of traffic information is proposed to evaluate the impact of road guidance information on flow patterns. Travelers are divided into two groups by market penetration, namely, one group following the guidance information and the other choosing routes normally for which a Logit-style choice model is applied. A mixed stochastic network loading algorithm according to the mixed behavior is proposed, and the method of successive average (MSA) is then employed to assign traffic in congested network. The numerical examples show that proper information can improve network performance and there exists a best market penetration for given OD. It is found that the best market penetration increases when traffic demand becomes higher, and overall network time can be reduced even more by adding guidance properly.
  
  PubDate: 2012-12-18T09:19:47Z
Efficiency Evaluation of Beijing Intelligent Traffic Management System Based on super-DEA
- Abstract: June 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 3
  
  Intelligent traffic management system (ITMS) is an effective measure to improve the urban road transport system operating efficiency. With the practice of Beijing urban intelligent traffic management system, this paper takes the urban transportation systems, socio-economic system and energy environment system as the input system, and sets the road traffic management efficiency and urban transport putting indicators as the output systems. The paper develops a corresponding super-efficiency DEA model, and examines the coordination degree between the ITMS level and urban development. The field data of Beijing from 2000 to 2010 are used for empirical analysis. Based on the model results and the practices of Beijing, the paper comparatively analyzes the relative effectiveness trend of urban transportation and the subsystems of economy and energy environment. It aims to provide some references for the future development and construction of the Beijing ITMS.
  
  PubDate: 2012-12-18T09:19:47Z
Multi-objectives Optimization on Flights Landing Sequence at Busy Airport
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  The optimized landing sequence of fight is one of the good methods to decrease delay and improve service. Especially, the objectives are usually conflicting and contradictive when the air traffic controller (ATC) makes the decision. The landing sequence at the busy airports can be regarded as one machine scheduling problem with multi-objectives in the paper, and the pareto optimization is discussed emphatically. The mathematic model is formulated which makes the tradeoff between the number of weighted delayed flights and the maximum time of the delayed flight, and then flexibly choose solutions. The multi-objective ant colony algorithm which shares the pheromone between multi-objectives is utilized to solve the problem. Results show that the proposed algorithm performs well when compared with the traditional heuristic methods and can help ATC choosing different landing sequences according to the real conditions.
  
  PubDate: 2012-12-18T09:19:47Z
Traffic Evacuation of Cellular Network after Dangerous Goods Spill
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  After dangerous goods spilling, the emergency evacuation transportation of the hazardous area is rather important to reduce personal injuries and economic losses. This paper analyzes the emergency evacuation on major and core road networks during a given time. The objective function is a cell model for regional emergency evacuation considering road network capacity. Then, combining with the complexity of the model characteristics and advantages, the quantum particle swarm model is solved. The example shows that under emergency situations, if the traffic management department makes most of the information superiority and dominant road network evacuation capacity, the evacuation capability will increase by 56.9% than normal cases. The proposed models and algorithms provide a theoretical support for emergency traffic management.
  
  PubDate: 2012-12-18T09:19:47Z
Dynamic Pricing Model of Container Sea-Rail Intermodal Transport on Single OD Line
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  In the management of container sea-rail intermodal transportation, dynamic pricing problem with uncertain conditions has significant impacts on the benefit and competitiveness of a multimodal transport operator. Based on the revenue management theory and the features of container sea-rail intermodal transport, this paper develops a two stages optimal model which integrates dynamic pricing and slot allocation on single origin-destination line. The first stage is proposed by considering long-term slot allocation in contract market, and the second stage is set up in consideration of the dynamic pricing in free market. Because of the demand uncertainty and the statistic error characteristics, the method of chance constrained programming and a robust optimization model are used to solve the models, respectively. The simulation shows the feasibility and efficiency of the proposed models and algorithms.
  
  PubDate: 2012-12-18T09:19:47Z
Data Mining on Index of Static Load of Freight Cars
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  Static load of freight vehicles is one of the important indices to evaluate the efficiency of railway wagon usage, as well an important basis for predicting coefficient of static load in railway line design. Based on sorting out the data structure of static load, clustering algorithm of K-medorids is employed for data mining to find the significant and relatively stable classification characteristics between static load of railway administrations. It is different delivery proportions of heavy goods that are indicated by index factor analysis to cause the static load classification of railway administrations. The data-mining also indicates the differences of static load between different grading railway administrations which cannot be ignored, therefore determining the coefficient of static load in railway design based on divided region is recommended.
  
  PubDate: 2012-12-18T09:19:47Z
Urban and Metropolitan Freight Transportation: A Quick Review of Existing Models
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  The freight transportation model is comparatively underdeveloped and had not been paid much attention to for decades. This study provides a synopsis of existing models at the urban and metropolitan levels, their major procedures, techniques, weaknesses and strengths. Based on consistent and comprehensive criteria synthesized from existing literature, this study also assesses the performances of different models. The assessment indicates that the tour-based model outperforms other ones. Each model, as expected, only outperforms others in some aspects. That is, there is no perfect freight model. Freight modelers should adopt a context-sensitive and problem-specific attitude when choosing their respective models. Specifically, choosing models based on the nature and scope of the problem at hand rather than on general performance assessment results or related personal impression or preference.
  
  PubDate: 2012-12-18T09:19:47Z
Performance Analysis of Urban Rail Transit Network
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  With the construction of new lines, urban rail transit network continues to expand. It is beneficial for the smooth operations of urban rail transit network to analyze the network characteristics of different development periods and summarize the law of development. Based on the theory of complex networks, the paper first compares the characteristic values of Beijing urban rail transit plan network and current operating network and the variation of values. The results indicate that some indicators of plan network such as average degree, clustering coefficient and average shortest distance has increased. However, due to expansion of service radius, the network efficiency decreased slightly. Then, aiming at important nodes failure and line failure, the paper compares the network flexibility after node failure and line failure, and calibrates the key nodes in the network. The results show that the node and line failure have smaller impacts on the planning network. The fundamentality of some nodes changes with the network improvement. For current operating network, it is necessary to guarantee the reliability of key nodes.
  
  PubDate: 2012-12-18T09:19:47Z
Geo-spatial Analysis of Truck Parking Needs
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  The availability of safe and convenient temporary parking facilities for commercial trucks is essential for both efficient truck transport and compliance with hours of service (HOS) regulations for drivers. With increasing volumes of trucks on the highways, adequate truck parking is becoming scarce. This study describes an online GIS survey instrument that is used for collecting the location information of areas with truck parking capacity shortages. To effectively analyze the sporadic and widely spread location data, this paper adopts an algorithm for location clustering and cluster ranking and proposes an alternative cluster visualization method along highways. This clustering concept recognizes that parking capacity shortages occur along highway segments. It is found that the most frequently experienced shortages are in the outskirts of major urban areas, reflecting the need of staging for next day delivery. These findings are consistent with observations by highway patrol.
  
  PubDate: 2012-12-18T09:19:47Z
ETC Data Mining Based on Hybrid Markov Model
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  ETC tolling data contains a vast amount of information. The data mining to improve management efficiency is an urgent problem to the expressway administrations. In this paper, ETC raw data are used to construct the route sequences transactional database. Against the shortcomings of low accuracy and coverage rate with basic Markov route prediction model, a new method based on hybrid Markov route prediction model is proposed to predict vehicle route on the expressway. ETC vehicles' future driving states are predicted and unusual route sequences are detected using this method. The experimental results show that the detecting result is reliable, and the overall prediction accuracy rate is above 83%. It may provide theoretical foundation and decision support for expressway administrations to develop charge checking and improve ETC management level.
  
  PubDate: 2012-12-18T09:19:47Z
BRT Vehicle Travel Time Prediction Based on SVM and Kalman Filter
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  An integrated BRT vehicle travel-time prediction model was proposed that used the support vector machine (SVM) to predict the initial travel time and applied the Kalman filter algorithm to dynamically adjust the results of the predicted travel time. Based on the GPS data, a case study of the BRT line 2 in Chaoyang district, Beijing, was conducted with the help of the proposed prediction model. BRT vehicle travel time during the morning peak hour and the off-peak hour was predicted by both the proposed model and the Kalman filter model. The results prove that the proposed model is more suitable for predicting the BRT vehicle travel time with a high prediction accuracy, and the accuracy for the off-peak hour is higher than the one for the peak hours.
  
  PubDate: 2012-12-18T09:19:47Z
Optimization Research of Refueled Scheme Based on Fuel Price Prediction of the Voyage Charter
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  Fuel cost is the key element of ship owners to control operating costs in the business of voyage charter. While fuel price changes frequently over time and also ocean shipping transport cycle is long, and therefore how to develop the most economical refueling scheme among the ports of call becomes one of the significant issues that the ship owners concerning. This study addresses the refueling scheme optimization problem for voyage charter operators from the perspective of the ship owner. First, an ARMA-based model was proposed to forecast a time serials of the fuel prices. Then, to maximize the shipping operation profit, the non-linear programming model is formulated to solve the optimal refueling scheme where to refuel and how much to refuel. Finally, a case study on a Pacific Ocean-circle route under multi-charter voyage contracts is conducted for a dry bulk cargo ship. The results indicate that the optimal fuel supply program compared with conventional refueling cost saves 263,400 USD, accounting for 14.3% of the total operating profit.
  
  PubDate: 2012-12-18T09:19:47Z
Harmonious Relations of Transportation Energy Consumption in Integrated Transport Development
- Abstract: August 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 4
  
  With the emergence of new transport concepts and the development of advanced transportation modes, the construction of integrated transport will not only meet the needs of national economic development, but satisfy the ecological principles of planning, construction and management, with low resources and energy consumptions and low pollution emissions, as well as harmony with the environment. Therefore, the transportation energy consumption is a key factor. This paper discusses the concept of integrated transport energy consumption indicators based on the entropy change-coupling model. With consideration of the situation of China's environmental level and economic development, it also demonstrates harmonious relations of China's integrated transportation energy consumption level between environmental level and economic level. The results indicate the status of China's overall transportation energy consumption and provide new ideas for the sustainable development integrated transport in the future.
  
  PubDate: 2012-12-18T09:19:47Z
Container Liner Operation Economic Model and the Departure Interval Decision-making
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  To seek the optimal departure interval of container liner operation and related decision variables and find a more economic way for the shipping industry with capital intensive nature, this paper proposes a liner operation economic model. The object is maximal profit from some liner route in a certain operation period and the restrictions are ship load capacity, container quantity of each type and port efficiency of loading and unloading. Based on the container quantity relations among ports on the line, the paper thoroughly analyzes the ship capital cost, operation cost, and voyage variable cost including fuel cost, cargo handling fee, berthing fee, port charges and crew subsidy. It puts forward the harmonic mean method to calculate integrated handling efficiency of different container types at port. And it works out the solution of profit-speed with the conditions keeping a certain amount of fuel on each voyage section and realizes profit at the time of delivery, thus realizing the consideration of maximizing both daily profit of each voyage section and the total operating profit. It then gets the optimal solution of the decision-making variable by combining implicit function derivation and extreme value solving method of functions, and shows the effectiveness of the model via an example.
  
  PubDate: 2012-12-18T09:19:47Z
Simulation and Analysis of Traffic Flow Model on Multi-Platform Harbor-Style Bus Stop
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  To simulate the mixed traffic flow, the paper proposes a cellular automaton model with multi-platform harbor-style bus stops and two lanes. In the model, the rules of vehicles' moving, lane-changing and stop time are redefined to accord the reality. It also analyzes the statistical characteristics of traffic flow. The effects of bus parking mode, the length of platform, the platform spacing and the bus proportion on traffic flow are studied, respectively. The results show that the multi-platform harbor-style bus stop has many advantages in bus parking, traffic congestion relieving and traffic flow improving. In summary, the model proposed in this paper is valuable for studying the impacts of public transport on urban traffic flow.
  
  PubDate: 2012-12-18T09:19:47Z
Traffic Flow Model for Staggered Intersection without Signal Lamp
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  Traffic characteristics investigation of staggered intersection lays the foundation of scientific and reasonable traffic control strategies. This paper first proposes the cellular automaton rules on the basis of the traffic conflict process analysis. Then with these rules, the traffic flow evolution under different parameters is presented by numerical simulations. The relationship between the arterial road traffic flow density and the average speed is explored. It is revealed that low traffic density on the main road of staggered intersections may lead to traffic congestions on the approach of main road and the road between two T-type intersections, and the average speed of traffic flow on each T-type import of main road was affected by the traffic flow changes of the other T-type approaches. Moreover, the traffic congestion on intersection without signal lamp is presented as a periodically queuing-dissipates process. The above methods and results provide meaningful guidance for traffic management and control implementation of staggered intersections without signal lamp.
  
  PubDate: 2012-12-18T09:19:47Z
Traffic Flow Simulation in a Scenario with Signalized Intersection and Bus Stop
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  In the real road traffic system, local congestion always occurs near the intersections or bus stops, which have become the main bottlenecks of urban traffic development. Considering the scenario with signalized intersection and a near-by bus stop, this paper investigates the lane-changing and dwelling behaviors in a two-lane mixed traffic and conducted the simulation using a cellular automaton model under open boundary condition. Simulation results show that for different proportions of bus flow over the whole flow, a critical probability sending vehicles into the system exists and represents the decreasing trend with respect to the bus flow proportion. Within the critical value, traffic is always the free flow and the flow increases with the probability; whereas, beyond the critical value, the traffic will be saturated. The paper proposes that during rush hours, the queuing upstream the intersection can stretch to the bus stop and then disturb the normal dwelling operation of buses. Therefore, it is necessary to reasonably design the position of signalized intersection and the corresponding cycle time.
  
  PubDate: 2012-12-18T09:19:47Z
Modeling Risk Degree of Conflicts between Crossing Pedestrians and Vehicles at Signalized Intersections
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  To quantitatively evaluate the safety of pedestrian crossing and to quantify the risk degree of traffic conflicts between crossing pedestrian and vehicle at signalized intersection, this paper conducted the risk degree model of crossing pedestrian and vehicle based on the features of pedestrian crossing behavior and the theory of conflict. The SMOK clustering algorithm based on the fuzzy cluster analysis method is used. Evaluation analysis process and results of risk degree model is demonstrated in the case studies of six signalized intersections in Nanjing City of China with the manual data collection method on video, which gives acquisition and calculation method of the evaluation indexes of TTC, PET, DST and validates the practicality of proposed model. The result shows that three indexes (TTC, PET, DST) play a significant role in clustering analysis and the frequency and severity of conflicts differs according to different types of conflict.
  
  PubDate: 2012-12-18T09:19:47Z
Effect of Highway Geometric Characteristics on Capacity Loss
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  The estimation of roadway capacity is essential in the planning, designing, and operation of highway facilities. This paper aims at assessing the influence of highway geometric characteristics on capacity at tangents and horizontal curves as well as on capacity loss at the change from tangent to curve. Traffic and geometry data obtained from twelve rural, two-lane road sites in Minoufiya Governorate, Egypt, were used. Each site consists of a tangent element and the succeeding horizontal curve. Vehicle flows and speeds were collected at each element in the study sites. A capacity estimation method that was based on extrapolation from a fundamental diagram which represented the relationship between traffic flow and density was used. The effect of different vehicle types was accommodated for by converting them into equivalent passenger car units. Regression analysis was used to investigate the relationships between geometric characteristics and capacity. The best regression models for each case (i.e. capacity at tangents, capacity at curves, and capacity loss between the two elements) were introduced. For tangents, the significant independent variables are lane width, shoulder width, and tangent length. In the case of curves, the significant variables are curve radius and lane width. The best model that exhibits the relationship between capacity loss and geometry characteristics includes only curve radius, which functions as an independent variable. The models are very useful and can be used to deal with capacity analysis as well as for the evaluation of rural, two-lane roads, especially for the area under study.
  
  PubDate: 2012-12-18T09:19:47Z
Setting Scheduled Trip Time Based on AVL Data
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  The scheduled trip time (ST), as an essential parameter, greatly affects the compilation and on-time probability of a vehicle schedule in public transit services. Unfortunately, the significance of ST has not been generally recognized in China. The values of STs are usually set manually based on experiences, which are normally hard to reflect the real-world situation. To set proper trip times, a novel automatic approach based on the AVL data is proposed. The basic process is as follows. First, running time samples are abstracted from a large set of AVL data, based on which the homogeneous running time (HRT) bands are then decided. Meanwhile, the knowledge base of running time distribution is established. Then, the ST parameters corresponding to each HRT band are generated based on a waiting time model. Finally, a simulation system is developed to test the schedules compiled based on a given set of STs, which may be revised further according to the simulation results. Experiments on the bus line 4 of Haikou of China show that setting the STs by the proposed approach brings high on-time probability to vehicle schedules.
  
  PubDate: 2012-12-18T09:19:47Z
Clustering Taxi Quantity Regulatory Levels of Chinese Capital Cities
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  Different purposes of taxi quantity control lead to different performances of quantity regulation in Chinese urban areas. To obtain a clear division of taxi quantity regulation levels of Chinese capital cities, a fuzzy c-means clustering is presented. The paper identifies six important demanding factors such as population, urban built-up area, transit volume, GDP, road area and amount of intercity passenger to get the corresponding indexes of urban taxi quantity regulatory levels. An efficient classification scheme is selected with clustering effectiveness analysis and F-statistics test after running a dedicated the MATLAB 7.0 program. The result indicates that thirty-one capital cities of mainland China are definitely classified into five categories. The categorization of quantity regulatory levels in this paper provide references for formulating the taxi license supply models.
  
  PubDate: 2012-12-18T09:19:47Z
A Car-following Model Based on Discrete Choice Theory
- Abstract: October 2012
  Publication year: 2012
  Source:Journal of Transportation Systems Engineering and Information Technology, Volume 12, Issue 5
  
  In the car-following model proposed in this paper, the acceleration and deceleration are incorporated into seven alternatives, and alternative-specific parameters are adopted to capture different attractiveness of each alternative. To avoid interferences from lane-changing behavior, the model is estimated and validated by trajectory data in the high occupancy vehicle (HOV) lane. From the estimation results, most estimated parameters are significantly different from zero at 95% confidence level, which indicates that the chosen variables and the classification of alternatives are effective and reasonable. In addition, according to the proposed model, the changing tendencies of choosing different alternatives at different speeds and gaps are completely consistent with common driving behaviors. The validation results show that, for the chosen alternatives, the percentages of predicted probabilities that are larger than 1/7 (the average probability of choosing each alternative) are more than 87% in the used data sets. From the shares of observations point of view, there are only minor differences between the observed and predicted results. Finally, this model is applied to simulate the 30-min single lane traffic conditions. Through simulation results, it can be found that the proposed model can accurately represent the real traffic conditions on the macroscopic level, while, on the microscopic level, there are some defects needed to be further improved.
  
  PubDate: 2012-12-18T09:19:47Z