Article
Economics
Xiao Han, Yun Yu, Zi-You Gao, H. Michael Zhang
Summary: This paper examines the impact of uncertainty on transportation systems and travel costs, as well as the welfare effects of providing travel information in different scenarios. The results show that providing accurate information can improve welfare under certain traffic conditions, but may reduce welfare in specific situations. Factors such as the correlation between traffic conditions, frequency and severity of bottleneck drops, and the relationship between free-flow travel time and bottleneck capacity significantly affect the welfare effects of providing pre-trip information.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Transportation Science & Technology
Yun Yu, Xiao Han, Bin Jia, Rui Jiang, Zi-You Gao, H. Michael Zhang
Summary: This paper investigates the welfare effects of inaccurate pre-trip information on commuters' departure time choice under stochastic bottleneck capacity. Three cases are studied: compliance, noncompliance, and co-existence. The benefits of inaccurate information depend on information quality, commuters' response and heterogeneity, and the frequency and severity of bottleneck capacity reductions.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Multidisciplinary Sciences
Ioannis Vasileios Chremos, Andreas A. Malikopoulos
Summary: In this paper, the authors study a routing and travel-mode choice problem in a multimodal transportation network as a mobility game with coupled action sets. They formulate an atomic routing game to investigate the impact of travelers' decision-making on efficiency under rationality and prospect theory. To address inefficiencies, they introduce a mobility pricing mechanism that considers traffic congestion and waiting times. The authors show that selfish actions of travelers lead to a pure-strategy Nash equilibrium. They also analyze the mobility system's inefficiencies and social welfare using Price of Anarchy and Price of Stability analysis, showing that they remain relatively low as the number of travelers increases. The authors extend their mobility game to capture subjective behavior using prospect theory and provide a discussion on its implementation.
Article
Computer Science, Information Systems
Bokui Chen, Zhongjun Ding, Yao Wu, Jun Zhou, Yongquan Chen
Summary: The proposed global algorithm in advanced traveler information systems can effectively increase the capacity and efficiency of traffic networks, counter traffic congestion, and offer more comprehensive real-time route guidance information.
INFORMATION SCIENCES
(2021)
Article
Engineering, Industrial
Xiang Wang, Chraibi Mohcine, Juan Chen, Ruoyu Li, Jian Ma
Summary: With the development of modern information technologies, advanced evacuation guidance systems have been widely installed to provide updated route information. However, pedestrians' decision-making process is often boundedly rational, leading to non-optimal route choices. This study explores two important factors affecting pedestrians' route estimation - distance and congestion. The findings show that for small and open spaces, pedestrians prioritize free walking time over congestion queuing time when making route choices. Pedestrians also tend to change routes in order to save completion time.
Article
Economics
Juan de Dios Ortuzar, Raul Bascunan, Luis Ignacio Rizzi, Andres Salata
Summary: Studies have shown that road pricing policies can effectively reduce congestion by curbing indiscriminate car use in several cities, but face initial rejection among the general population. Preferences in Santiago de Chile lean towards charging only for entrance into the smallest cordon around the historic center during peak hours, with revenues allocated to enhancing public transport. This differs from the best technical solution of charging in the largest cordon area, suggesting a pilot trial of the preferred scheme following international recommendations.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2021)
Article
Chemistry, Multidisciplinary
Xinghua Hu, Hongbin Qin, Jianpu Guo, Yimei Xu, Wei Liu, Xiaochuan Zhou
Summary: This study analyzes the interaction between bus passengers' route-choice behavior and the relationship in a game, discussing the passenger guidance strategy to achieve a win-win situation between passengers and bus operators, using an evolutionary game model.
APPLIED SCIENCES-BASEL
(2022)
Article
Computer Science, Artificial Intelligence
Guilherme Dytz dos Santos, Ana L. C. Bazzan
Summary: This study connects reinforcement learning with new technologies to accelerate the learning process, showing superior performance compared to traditional methods. The research also demonstrates that the method is not only tolerant to information loss, but also shows improved performance in scenarios where not all agents receive the same information.
PEERJ COMPUTER SCIENCE
(2021)
Article
Economics
Chang Zhou, Qiong Tian, David Z. W. Wang
Summary: This study proposes a novel control technique to mitigate bus bunching by providing passengers with real-time wait time information and degrees of in-vehicle congestion. The numerical results show that providing in-vehicle congestion information is as effective as the schedule-based and headway-based control methods in achieving mitigation of bus bunching.
Article
Engineering, Civil
Jihao Deng, Lei Gao, Xiaohong Chen, Quan Yuan
Summary: Traffic congestion is a major concern for policymakers in large cities worldwide. In order to combat congestion, individual-based active travel demand management (ATDM) has been proposed as a more efficient policy alternative. However, the factors influencing individuals' routing choices during commuting in response to ATDM incentives are still mostly unknown. By analyzing a desensitized one-week travel trajectory dataset of 5641 personal electric vehicles, this study identifies the major influencing factors of commuting route stability and provides suggestions for targeting responsive commuters. The findings contribute to the understanding of individual route choices and can help urban managers develop more refined ATDM policies to alleviate traffic congestion in the future.
Article
Physics, Multidisciplinary
Longyan Gong, Jinze Zha, Hongli Zeng, Zhengxin Wang, Xuechao Zhai
Summary: The study investigates the route-choice problem in two-route traffic systems with real-time particle densities provided. By considering different scenarios with informed and uninformed particles, along with different route-choice rules, the stability conditions and average travel times of different types of particles in various phases are analyzed. The results can be useful for optimizing traffic flow on traffic networks.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Physics, Multidisciplinary
Jiawen Wang, Lan You, Jiayu Hang, Jing Zhao
Summary: This paper proposes a collaborative optimization method of route guidance and intersection signal control under the background of a pre-trip reservation. The results show that the proposed optimization method improves road network capacity by 16% and alleviates congestion in certain sections.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Transportation Science & Technology
Yang Liu, Zhenyu Yang
Summary: This paper examines travelers' travel strategies and route choices in a road network with a risky route and a safe route, where travel information pricing are jointly implemented. It finds that information regarding the risky road conditions would not necessarily improve the expected system travel time, and when information is free, congestion may worsen.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Civil
Lei Wu, Baichuan Lu
Summary: This article analyzes the impact of vulnerability of mountainous road networks on traveler behavior and proposes a route choice model considering vulnerability. Validated by the road network in Chongqing city, the results show that sensitive and nonsensitive users exhibit different route choice behavior in vulnerable networks.
JOURNAL OF ADVANCED TRANSPORTATION
(2022)
Article
Green & Sustainable Science & Technology
Salvatore Cafiso, Alessandro Di Graziano, Tullio Giuffre, Giuseppina Pappalardo, Alessandro Severino
Summary: According to international traffic statistics, the quantity of daily traveling vehicles is increasing and it is estimated to reach four billion by 2050. The increase in traffic flow has significant effects on the performance and safety of different roadway categories. The dynamic use of hard shoulder running (HSR) is considered a viable solution in urban ring roads, utilizing existing infrastructures and implementing smart digital roads to improve traffic outflow.
Article
Economics
Songyot Kitthamkesorn, Anthony Chen, Seungkyu Ryu, Sathaporn Opasanon
Summary: The study introduces a new mathematical model to determine the optimal location of park-and-ride facilities, addressing the limitations of traditional models and considering factors such as route similarity and user heterogeneity.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2024)
