Subjects -> TRANSPORTATION (Total: 214 journals)
    - AIR TRANSPORT (9 journals)
    - AUTOMOBILES (26 journals)
    - RAILROADS (10 journals)
    - ROADS AND TRAFFIC (9 journals)
    - SHIPS AND SHIPPING (43 journals)
    - TRANSPORTATION (117 journals)

TRANSPORTATION (117 journals)                     

Showing 1 - 53 of 53 Journals sorted alphabetically
Accident Analysis & Prevention     Hybrid Journal   (Followers: 128)
Analytic Methods in Accident Research     Hybrid Journal   (Followers: 8)
Applied Mobilities     Hybrid Journal   (Followers: 5)
Asian Transport Studies     Open Access   (Followers: 1)
Botswana Journal of Technology     Full-text available via subscription   (Followers: 1)
Case Studies on Transport Policy     Hybrid Journal   (Followers: 13)
Cities in the 21st Century     Open Access   (Followers: 17)
Communications in Transportation Research     Open Access  
Danish Journal of Transportation Research / Dansk Tidsskrift for Transportforskning     Open Access   (Followers: 1)
Decision Making : Applications in Management and Engineering     Open Access   (Followers: 1)
Economics of Transportation     Partially Free   (Followers: 16)
Emission Control Science and Technology     Hybrid Journal   (Followers: 1)
eTransportation     Open Access   (Followers: 1)
EURO Journal of Transportation and Logistics     Open Access   (Followers: 12)
European Journal of Transport and Infrastructure Research (EJTIR)     Open Access   (Followers: 1)
European Transport Research Review     Open Access   (Followers: 22)
Geosystem Engineering     Hybrid Journal  
IATSS Research     Open Access  
IEEE Open Journal of Intelligent Transportation Systems     Open Access   (Followers: 4)
IEEE Vehicular Technology Magazine     Full-text available via subscription   (Followers: 7)
IET Electrical Systems in Transportation     Open Access   (Followers: 13)
IET Intelligent Transport Systems     Open Access   (Followers: 11)
IET Smart Cities     Open Access  
IFAC-PapersOnLine     Open Access  
International Journal of Applied Logistics     Full-text available via subscription   (Followers: 5)
International Journal of Crashworthiness     Hybrid Journal   (Followers: 10)
International Journal of Electric and Hybrid Vehicles     Hybrid Journal   (Followers: 8)
International Journal of Heavy Vehicle Systems     Hybrid Journal   (Followers: 6)
International Journal of Intelligent Transportation Systems Research     Hybrid Journal   (Followers: 13)
International Journal of Mobile Communications     Hybrid Journal   (Followers: 8)
International Journal of Ocean Systems Management     Hybrid Journal   (Followers: 1)
International Journal of Physical Distribution & Logistics Management     Hybrid Journal   (Followers: 11)
International Journal of Services Technology and Management     Hybrid Journal   (Followers: 1)
International Journal of Sustainable Transportation     Hybrid Journal   (Followers: 18)
International Journal of Traffic and Transportation Engineering     Open Access   (Followers: 12)
International Journal of Transportation Engineering     Open Access   (Followers: 2)
International Journal of Transportation Science and Technology     Open Access   (Followers: 9)
International Journal of Vehicle Systems Modelling and Testing     Hybrid Journal   (Followers: 2)
Journal of Advanced Transportation     Hybrid Journal   (Followers: 12)
Journal of Big Data Analytics in Transportation     Hybrid Journal   (Followers: 2)
Journal of Intelligent and Connected Vehicles     Open Access   (Followers: 1)
Journal of Mechatronics, Electrical Power, and Vehicular Technology     Open Access   (Followers: 6)
Journal of Modern Transportation     Full-text available via subscription   (Followers: 7)
Journal of Navigation     Hybrid Journal   (Followers: 176)
Journal of Sport & Social Issues     Hybrid Journal   (Followers: 10)
Journal of Supply Chain Management Science (JSCMS)     Open Access   (Followers: 2)
Journal of Traffic and Transportation Engineering (English Edition)     Open Access   (Followers: 4)
Journal of Transport & Health     Hybrid Journal   (Followers: 12)
Journal of Transport and Land Use     Open Access   (Followers: 26)
Journal of Transport and Supply Chain Management     Open Access   (Followers: 10)
Journal of Transport Geography     Hybrid Journal   (Followers: 22)
Journal of Transport History     Hybrid Journal   (Followers: 12)
Journal of Transportation and Logistics     Open Access   (Followers: 3)
Journal of Transportation Safety & Security     Hybrid Journal   (Followers: 9)
Journal of Transportation Security     Hybrid Journal   (Followers: 3)
Journal of Transportation Technologies     Open Access   (Followers: 13)
Journal of Waterway Port Coastal and Ocean Engineering     Full-text available via subscription   (Followers: 7)
Journal on Vehicle Routing Algorithms     Hybrid Journal  
Les Dossiers du Grihl     Open Access   (Followers: 1)
LOGI ? Scientific Journal on Transport and Logistics     Open Access  
Logistics     Open Access   (Followers: 1)
Logistics & Sustainable Transport     Open Access   (Followers: 4)
Logistique & Management     Hybrid Journal  
Maritime Transport Research     Open Access  
Mobility in History     Full-text available via subscription   (Followers: 7)
Modern Transportation     Open Access   (Followers: 11)
Nonlinear Dynamics     Hybrid Journal   (Followers: 19)
Open Journal of Safety Science and Technology     Open Access   (Followers: 16)
Open Transportation Journal     Open Access   (Followers: 1)
Packaging, Transport, Storage & Security of Radioactive Material     Hybrid Journal   (Followers: 2)
Periodica Polytechnica Transportation Engineering     Open Access  
Pervasive and Mobile Computing     Hybrid Journal   (Followers: 8)
Proceedings of the Institution of Mechanical Engineers Part F: Journal of Rail and Rapid Transit     Hybrid Journal   (Followers: 11)
Promet : Traffic &Transportation     Open Access  
Public Transport     Hybrid Journal   (Followers: 18)
Recherche Transports Sécurité     Hybrid Journal   (Followers: 1)
Research in Transportation Business and Management     Partially Free   (Followers: 4)
Revista Transporte y Territorio     Open Access  
Romanian Journal of Transport Infrastructure     Open Access   (Followers: 1)
Sport, Education and Society     Hybrid Journal   (Followers: 12)
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: 1)
Transactions on Transport Sciences     Open Access   (Followers: 4)
Transport     Open Access   (Followers: 16)
Transport and Telecommunication     Open Access   (Followers: 4)
Transport in Porous Media     Hybrid Journal  
Transport Problems     Open Access   (Followers: 4)
Transport Reviews: A Transnational Transdisciplinary Journal     Hybrid Journal   (Followers: 11)
Transportation     Hybrid Journal   (Followers: 32)
Transportation Engineering     Open Access   (Followers: 1)
Transportation Geotechnics     Full-text available via subscription   (Followers: 1)
Transportation in Developing Economies     Hybrid Journal  
Transportation Infrastructure Geotechnology     Hybrid Journal   (Followers: 8)
Transportation Journal     Full-text available via subscription   (Followers: 16)
Transportation Letters : The International Journal of Transportation Research     Hybrid Journal   (Followers: 4)
Transportation Research Interdisciplinary Perspectives     Open Access   (Followers: 2)
Transportation Research Part A: Policy and Practice     Hybrid Journal   (Followers: 38)
Transportation Research Part B: Methodological     Hybrid Journal   (Followers: 38)
Transportation Research Part C: Emerging Technologies     Hybrid Journal   (Followers: 29)
Transportation Research Procedia     Open Access   (Followers: 6)
Transportation Research Record : Journal of the Transportation Research Board     Full-text available via subscription   (Followers: 29)
Transportation Safety and Environment     Open Access   (Followers: 1)
Transportation Science     Full-text available via subscription   (Followers: 25)
Transportation Systems and Technology     Open Access  
TRANSPORTES     Open Access   (Followers: 3)
Transportmetrica A : Transport Science     Hybrid Journal   (Followers: 7)
Transportmetrica B : Transport Dynamics     Hybrid Journal   (Followers: 1)
Travel Behaviour and Society     Full-text available via subscription   (Followers: 9)
Travel Medicine and Infectious Disease     Hybrid Journal   (Followers: 2)
Urban, Planning and Transport Research     Open Access   (Followers: 33)
Vehicles     Open Access  
Vehicular Communications     Full-text available via subscription   (Followers: 4)
World Electric Vehicle Journal     Open Access   (Followers: 3)
World Review of Intermodal Transportation Research     Hybrid Journal   (Followers: 5)
Транспортні системи та технології перевезень     Open Access  

           

Similar Journals
Journal Cover
International Journal of Intelligent Transportation Systems Research
Journal Prestige (SJR): 0.301
Citation Impact (citeScore): 1
Number of Followers: 13  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1868-8659 - ISSN (Online) 1868-8659
Published by Springer-Verlag Homepage  [2469 journals]
  • Automated Truck Taxonomy Classification Using Deep Convolutional Neural
           Networks

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      Abstract: Trucks are the key transporters of freight. The types of commodities and goods mainly determine the right trailer for carrying them. Furthermore, finding the commodities’ flow is an important task for transportation agencies in better planning freight infrastructure investments and initiating near-term traffic throughput improvements. In this paper, we propose a fine-grained deep learning based truck classification system that can detect and classify the trucks, tractors, and trailers following the Federal Highway Administration’s (FHWA) vehicle schema. We created a large, fine-grained labeled dataset of vehicle images collected from state highways. Experimental results show the high accuracy of our system and visualize the salient features of the trucks that influence classification.
      PubDate: 2022-05-11
       
  • Dynamic Weight-based Multi-Objective Reward Architecture for Adaptive
           Traffic Signal Control System

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      Abstract: Abstract An Adaptive Traffic Signal Control (ATSC) system uses real-time traffic information to control traffic lights and makes the public transport system more reliable and accessible. Deep Reinforcement Learning (DRL) has recently demonstrated its use in resolving traffic signal control problems. However, designing a good reward function is one of the most crucial aspects of DRL since the system learns to make proper decisions based on reward. Furthermore, the multi-objective reward function is preferable for the ATSC system, which is more challenging than designing a single objective. The existing multi-objective reward functions use pre-defined fixed weights to combine the multiple parameters, which requires rigorous training and cannot represent the actual impact of the parameters. To solve this problem, we proposed a new reward architecture called Dynamic Weights Multi-objective Reward Architecture (DWMORA) for ATSC. It calculates the weights instantly based on the current traffic condition to ensure the actual impact of the parameters. A comparative result study of the proposed approach with several existing reward functions shows the improvement of the road traffic in terms of waiting time, travel time, and halting number.
      PubDate: 2022-04-29
       
  • Implementation of a Compact Traffic Signs Recognition System Using a New
           Squeezed YOLO

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      Abstract: Abstract The importance of traffic signs cannot be overstated when it comes to road safety. The necessity for rapid and precise Traffic Sign classifier remains a challenge due to the complexity of traffic signs shapes and forms. In this paper, a real-time detector is presented for the German Traffic Sign Recognition Benchmark (GTSRB). GTSRB has 43 different classes with various shapes, forms, and colours. Their similarity is useful for object localisation but not for sign classification. In this article, a real-time detector for GTSRB is created using an upgraded compact YOLO-V4 Technique and implemented on the new NVIDIA Jetson Nano. To find and detect GTSRB pictures, a compact and efficient classifier is introduced. For the first time, this paper compares the detection and categorization of traffic signs using YOLO-V3 and 4, both regular and tiny. Because most of real-time identification algorithms require a lot of processing power, the suggested compact classifier, which is based on the new YOLO-V4 Tiny, can recognize all 43 traffic signals with an average accuracy of 95.44% percent and a YOLO model size of just 9 MB. The GTSRB test dataset was used to validate this approach, which was then tested on the new Jetson Nano. In comparison to existing algorithms such as CNN, YOLO-V3, YOLO-V4, and Faster R-CNN, the suggested technique may successfully save more computational power and processing time.
      PubDate: 2022-04-22
       
  • Autonomous Bus Pilot Project Testing and Demonstration using Light Rail
           Transit Track

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      Abstract: Abstract The rapidly aging society of Japan requires a quality transportation system that provides new mobility services combining innovative technologies to include all residents. The present study carries out a pilot test of the world’s first connected public transport system between autonomous buses (AB) and the light rail transit (LRT). In this system, telecommunication between two modes enabled the bus to fully self-drive and pull in precisely at an LRT stop. Reporting a result of the pilot test in Hiroshima, this paper analyzes (a) the feasibility of the system based on a monitor survey and (b) public acceptance based on a resident survey of local residents.
      PubDate: 2022-04-21
       
  • Cellular Automata Model for Lane Changing Activity

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      Abstract: Abstract In the present work, a microscopic traffic flow model using Cellular Automata is proposed. The model is intended to explain accurately the lane changing activity, which is treated as a continuous process rather than a discrete event as suggested by previous models. Various important properties of traffic flow could be explained by the proposed model and the simulated results are quite reasonable. The proposed model can give explanation to the microscopic properties, like, local stability, asymptotic stability, closing-in/shying-away and insensitivity of safe distance headway to perturbation pattern, initial distance headway and initial speed. Macroscopic properties like speed, flow and density were studied for a traffic stream under various conditions like varying road width. The results obtained from simulation of single lane and wide roads with lane discipline match closely to the values suggested by Highway Capacity Manual.
      PubDate: 2022-04-18
       
  • Effect of Acceleration and Deceleration Information of Preceding Vehicle
           Group on Fuel Economy of Following Vehicle in Starting

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      Abstract: Abstract This study looked at the effectiveness of acceleration/deceleration information regarding preceding and pre-preceding vehicles on the driving behavior and fuel economy of the following vehicle. As a result, it was suggested that information provision may improve the fuel economy of the following vehicle. It was also found that the subjects that increased fuel economy tended to value information on the acceleration/deceleration of the pre-preceding vehicle compared to those that decreased fuel economy did. From the above, it was indicated that the provision of information on the acceleration/deceleration of a preceding vehicle group to a following vehicle was effective.
      PubDate: 2022-04-02
       
  • A Data-Driven Approach for Vehicle Relocation in Car-Sharing Services with
           Balanced Supply-Demand Ratios

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      Abstract: Abstract To reduce the vehicle relocation rate considering relieving disequilibrium of the supply-demand ratios across regions for car-sharing systems, in this paper, we propose a data-driven optimization framework by integrating the non-parametric learning algorithm and two-stage stochastic programming modeling technique to address the one-way station-based car-sharing relocation problem. In contrast with the most existing work that deals with demand uncertainty using predefined probability distributions, the learning-based framework is capable of handling demand uncertainty by learning the intrinsic pattern from large-scale historical data and computing high quality solutions. To validate the performance of our proposed approach, we conduct a group of numerical experiments based on New York taxicab trip record data set. The experimental results show that our proposed data-driven approach outperforms the parametric approaches and deterministic model in terms of business profit, relocation rate, and value of stochastic solution (VSS). Most significantly, compared with the deterministic approach, the vehicle relocation rates are reduced by approximate 80%, 70% and 40% under small fleet size, medium fleet size and large fleet size, respectively. In addition, the VSS of our approach is more than 3 times higher than the one of Poisson distribution by average.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00269-y
       
  • Lane-Level Vehicle Counting Based on V2X and Centimeter-level Positioning
           at Urban Intersections

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      Abstract: Abstract Accurate vehicles counting for all-weather in cities are an important part of traffic management in the application of Intelligent Transportation Systems (ITS). Vehicle counting is currently collected with computer vision and sensor network methods. However, these methods require expensive hardware to achieve real-time and anti-interference capability, and do not provide lane-level vehicle information for ITS traffic management. This paper presents a lane-level vehicle counting system that is based on V2X communications and centimeter-level positioning technologies. This system can be used to traffic survey of ITS at a range of urban intersections. For realizing lane-level counting, a lane determination method is designed with on-board units (OBUs) in this paper. The lane is identified by matching the vehicle positioning information with road information from the roadside unit (RSU). The RSU collects the vehicle counting information from OBUs in different instances. The counting information includes the vehicle location data, the vehicle status data, and the vehicle number of each lane in the range of intersections. Verification and analysis were performed by a hardware-in-the-loop simulation platform. The results showed an average vehicle counting accuracy rate (99.60%). The system enabled the collection of real-time statistics with low-power consumption and low latency, providing accurate data to ITS.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00271-4
       
  • Efficiency and Safety Evaluation of Left-turn Vehicles and Crossing
           Pedestrians in Signalized Intersections under the Autonomous Vehicle Mixed
           Flow Condition

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      Abstract: Abstract Field experiments of autonomous vehicles (AVs) have been conducted in many countries. However, efficiency evaluation of AV mixed flow and safety evaluation of conflicts between AVs and pedestrians in the real-world case are still limited. This study aims at evaluating the efficiency and safety of left-turn (LT) vehicles and pedestrians in signalized intersections, under the condition of AV mixed flow, by developing a simulation model. Post Encroachment Time (PET) and LT capacity were obtained. Further, gap/lag acceptance behavior and reaction time of LT vehicles were found to be critical parameters that affect efficiency and safety evaluations.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00276-z
       
  • Stability Analysis and Control of an Extended Car-Following Model under
           Honk Environment

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      Abstract: Abstract In order to study the traffic jams and congestion and to understand the forming process of traffic congestion. On the basis of synchronization theory of complex network, this paper investigated the stability of an extended car-following model under honk environment. By using the Lyapunov stability theory and designing the appropriate controller, the car-following model is quickly stabilized and the stability condition of the model is obtained. In addition, the stability of the extended car-following model under honk environment is studied when the vehicle is subjected to external disturbance. Finally, the effects of the designed controller on the stability of the extended car-following model under honk environment and the influence of honk effect on the traffic flow are verified by using the Matlab simulation technology. The conclusions of this paper can provide a theoretical reference for the prevention and control of traffic congestion.
      PubDate: 2022-04-01
      DOI: 10.1007/s13177-021-00267-0
       
  • A Study on the Conversion Method Based on Standard Pedestrian Equivalent
           Factors at Signalized Crosswalks in China

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      Abstract: Abstract In order to more accurately assess the pedestrian level of service (PLOS) of crosswalks and to more rationally design the pedestrian signal timing, a method of calculating the standard pedestrian equivalent (SPE) factors at the signalized crosswalk in China was proposed in this study by considering the differences in static and dynamic characteristics amongst pedestrians. Firstly, the pedestrians were classified into five types using the pedestrian field data collected at the 3 signalized crosswalks in Chongqing, China. Then, by considering the parameters selection of the pedestrian LOS at signalized crosswalks, the SPE method based on pedestrian delays was derived, and the calculation models of pedestrian delays were presented for different pedestrian arrival patterns. A case analysis was conducted using the methods proposed in this paper, and the results show that the SPE values for minors, young and middle-aged females, elderly males and elderly females were 1.213, 1.067, 1.229 and 1.348, respectively. In addition, the results of the in-situ application to the pedestrian signal timing at the signalized crosswalk were achieved. This research can provide reference for practice related to transportation fields such as pedestrian capacity analysis and pedestrian signal timing design.
      PubDate: 2022-02-17
      DOI: 10.1007/s13177-022-00296-3
       
  • Improving the Accuracy of Traffic Accident Prediction Models on
           Expressways by Considering Additional Information

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      Abstract: Abstract This study aims to improve the accuracy of a convolutional neural network (CNN) based model. That predicts the likelihood of accidents on a specific road section from the present to 2 h in the future using a wide range of temporal and spatial sensor information developed in previous studies as input to reduce accidents. In addition to previous studies that only used traffic data (i.e., speed, traffic volume, time occupancy, etc.), we considered time data (i.e., day of the week, time of day, etc.) and weather data as additional explanatory variables. Then, using the chi-square test, we selected the information that contributed to improving the accuracy of accident occurrence prediction and added it as input to the CNN-based model. Compared with the base model, the average F1-score of the proposed model was improved by 19.1%.
      PubDate: 2022-02-16
      DOI: 10.1007/s13177-021-00293-y
       
  • Correction to: Comparison of Proactive Braking Intervention System
           Acceptability via Field Operation Tests in Different Regions

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      PubDate: 2022-02-03
      DOI: 10.1007/s13177-021-00285-y
       
  • Traffic Signal Control Parameter Calculation Using Probe Data

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      Abstract: Abstract In signal control, which is one of the main functions of traffic control systems, appropriate signal control parameters are calculated based on the measurement data from vehicle detectors installed on the road. However, the installation and maintenance of vehicle detectors is costly, so realization of a signal control system that can reduce the number of vehicle detectors used while maintaining control level is required. In this paper, we propose a method to calculate signal control parameters without using measurement data from vehicle detectors using traffic information obtained from probe data.
      PubDate: 2022-01-31
      DOI: 10.1007/s13177-021-00292-z
       
  • Real-Time Distraction Detection from Driving Data Based Personal Driving
           Model Using Deep Learning

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      Abstract: Abstract Distracted driving is one of the main cause of traffic accidents. Car manufacurers are now developing various driving support systems to ensure safe driving because it is an important activity of people as their major means of transportation. In this work, we have examined the method of detecting distracted driving from the driving data collected from different sensors attached to a driving simulator while driving with various road conditions and cognitive loads. In our study, we used a driving simulator for collecting data of drivers while driving in normal state with concentration and in distracted state by imposing cognitive load to simulate cognitive distraction. Based on the collected data, we developed driver specific model of driving behaviour in several scenario with increasing cognitive load and attempted to detect distracted driving in real time from the individual driving model to send alert to the driver. We explored machine learning algorithms including deep neural networks for the proposed development of real time cognitive distraction detection method from driving data. It is found that different drivers have different driving behaviour and use of personal driving model is important for the detection of distracted driving in real time. It is also found that convolutional neural network (CNN) is a promising tool for the development of a personalized driving assistance system which can detect distracted driving for alerting a driver in real time.
      PubDate: 2022-01-15
      DOI: 10.1007/s13177-021-00288-9
       
  • Factors Influencing the Accuracy of Directional Traffic Volume Estimation
           at Signalized Interaction Using Bluetooth MAC Address

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      Abstract: Abstract This paper analyzes factors influencing directional traffic volume estimation at signalized intersection using MAC address data. The impact of traffic volume level and intersection shape for directional traffic volume estimation accuracy is discussed based on actual data. Then, field surveys to collect Bluetooth MAC address data have been conducted with Video survey data for comparing with estimation results. Through directional traffic volume estimation by MAC address data, we found that not only the effect of traffic volume level and shape of the intersection, but also both traffic congestion and the amounts of heavy vehicles may influence those estimations.
      PubDate: 2022-01-11
      DOI: 10.1007/s13177-021-00290-1
       
  • Multilane Roundabout Capacity: Methodology Formation and Model Formulation

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      Abstract: Roundabouts are widely spreading around the globe because of their safety advantages over other crossroads. In the absence of actual roundabout flow theories, entry capacities are empirically formulated here versus geometric and traffic predictors collected from 13 saturated roundabouts on major roads in Bahrain. The formulation methodology covered five stages to be compatible with as many international models as possible. These included simple modelling techniques, multivariate analysis considering extensive single and joint predictors, and complex formulation employing collinearity diagnoses. A quadratic model fitted best the entry capacity versus circulating flow for dual-entry lanes and exponential for triple-lanes. The model underestimated the entry capacities compared with UK, SIDRA, and French models except at high circulating flows. The standard capacity model showed significant positive associations with entry lanes, entry width square, circulating width, splitter island width, circulating flow square, and exiting flow; and negative with circulating lanes, entry width, radius of central island, width of circulating lanes square, circulating flow, and exiting flow square. The dominant predictors for the model treated for collinearity included circulating flow, exiting flow, number of entry lanes, number of circulating lanes, inscribed diameter, entry width, flare length, and width of circulating lanes. The UK, the French and SIDRA capacity models showed substantial differences with the developed model and between them. The 3-way relationship between maximum entry, exiting, and circulating flows showed a uniform diagonal relationship across the resultant 3-dimensional box when the circulating flow axis is inverted. Though limited spatial related parameters influence roundabout maximum entry flow, yet other insignificant parameters should not be ignored since they are necessary for constructional and operational purposes. Highlights •Entry Capacities for roundabouts with dual and triple-entry lanes are modelled using extensive geometric predictors along with circulating and exiting flows. • The methods include simple modelling procedures, to match several international models, and comprehensive multivariate analysis with collinearity treatments using variance inflation factor. • A logarithmic form best relates maximum entry flow to circulating flow for dual-entry lanes and an exponential for triple-lanes. • The significant predictors for treated model are circulating flow, exiting flow, and several spatial related predictors as number of entry lanes, number of circulating lanes, inscribed diameter, entry width, flare length, and width of circulating lanes. • The UK, the French and SIDRA capacity models showed substantial differences with the model and between them. The reasons behind such great differences require careful investigation. • The 3-way relationship between the capacity, exiting, and circulating flows showed a uniform diagonal relationship across the resultant 3-dimensional box when the circulating flow axis is inverted.
      PubDate: 2022-01-11
      DOI: 10.1007/s13177-021-00286-x
       
  • Research on Path Planning Algorithm of Autonomous Vehicles Based on
           Improved RRT Algorithm

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      Abstract: Abstract Recently, the path planning has become one of the key research hot issues in the field of autonomous vehicles, which has attracted the attention of more and more related researchers. When RRT (Rapidly-exploring Random Tree) algorithm is used for path planning in complex environment with a large number of random obstacles, the obtained path is twist and the algorithm cannot converge quickly, which cannot meet the requirements of autonomous vehicles’ path planning. This paper presents an improved path planning algorithm based on RRT algorithm. Firstly, random points are generated using the circular sampling strategy, which ensures the randomness of the original RRT algorithm and improves the sampling efficiency. Secondly, an extended random point rule based on cost function is designed to filter random points. Then consider the vehicle corner range when choosing the adjacent points, select the appropriate adjacent points. Finally, the B-spline curve is used to simplify and smooth the path. The experimental results show that the quality of the path planned by the improved RRT algorithm in this paper is significantly improved compared with the RRT algorithm and the B-RRT (Bidirectional RRT) algorithm. This can be seen from the four aspects of the time required to plan the path, mean curvature, mean square deviation of curvature and path length. Compared with the RRT algorithm, they are reduced by 55.3 %, 68.78 %, 55.41 % and 19.5 %; compared with the B-RRT algorithm, they are reduced by 29.5 %, 64.02 %, 39.51 % and 11.25 %. The algorithm will make the planned paths more suitable for autonomous vehicles to follow.
      PubDate: 2021-10-22
      DOI: 10.1007/s13177-021-00281-2
       
  • A comparative study on travel mode share, emission, and safety in five
           Vietnamese Cities

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      Abstract: Abstract Motorcycles dominate current transport activities in Vietnamese cities; however, historical data show that bikes and public transport were popular as recently as 30 years ago. Because the transport infrastructure in Vietnamese cities makes it unsafe for cycling and inconvenient for public transport, many cyclists and public transport users switch to private motorized vehicles, particularly motorcycles, as soon as they can afford to make the change. The preference for motorcycles in Vietnamese cities has resulted in an increased risk of road traffic accidents and a degradation of air quality. Reducing the share of motorcycles on Vietnamese roads by improving public transport would be expected not only to improve public safety but also to have a positive impact on the environment and public health. However, efforts to improve the public transport have not yet been properly integrated into the local government system in every city. As the result, each city has different outcomes in mitigating the motorcycle-related challenges. This study examines travel behaviors in five major Vietnamese cities—Hanoi, Hai Phong, Da Nang, Ho Chi Minh City (HCMC), and Can Tho—and compares the impact of improved public transport on mode choice, emissions, and traffic safety. It is found that improving public transport would result in an 21.11 percent reduction in transport emissions by 2030 in Hanoi, as well as reductions of 12.5 percent in Hai Phong, 17.37 percent in Da Nang, 9.75 percent in HCMC, and 15.21 percent in Can Tho. The differences in these percentages are due to the heterogeneous modal shifts among cities. The provision of improved public transport is also shown to reduce the risk of road traffic accidents. The risk of a traffic fatality in Hanoi decreases by 49.6 percent, while in Hai Phong, the reduction is 43.8 percent; the risk in Can Tho, Da Nang and HCMC decreases by 18.7 percent, 19.8 percent, and 26.3 percent, respectively. As public transport investment is beginning to be adapted to the city context, our results indicate that investment capital on improving the public transport system would partly contribute on reducing emissions and traffic accidents in Vietnamese cities.
      PubDate: 2021-10-21
      DOI: 10.1007/s13177-021-00283-0
       
  • Improve Safety and Security of Intelligent Railway Transportation System
           Based on Balise Using Machine Learning Algorithm and Fuzzy System

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      Abstract: Abstract With the advancement of modern rail transport systems, high-speed railways’ safety and reliability is improved enormously due to proper intelligent traffic management systems. The automatic train control and operating system receive the train location beacons and the railway line’s essential information through various channels, such as Balise wirelessly. However, this technology is vulnerable to cyber-physical attacks. This article aims to investigate the existing cyber attacks on Balise that can result a physical turmoil. Due to the limitations and constraints of the railway infrastructures, the attacks and failure detection methods are proposed based on machine learning. Also, a fuzzy countermeasure system is developed to improve train safety against known and unknown cyber-attacks. The simulation results show 92% accuracy in the proposed successful attacks detection system. Moreover, a small amount of false-positive and false-negative warnings can be also revealed employing the proposed scheme. The proposed method does not require change railway infrastructure.
      PubDate: 2021-09-30
      DOI: 10.1007/s13177-021-00274-1
       
 
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