Article
Engineering, Electrical & Electronic
Yan Wang, Qun Chen
Summary: This study analyzes the parking allocation problem in a multidestination multiple parking lot system, considering factors that affect driver's parking choice, and establishes a mathematical programming model. The proposed model is validated through a numerical example and discusses the impact of dynamic parking fees on driver's choice and parking lot utilization balance. The model is of significance to parking facility location optimization and dynamic parking pricing strategy.
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2022)
Article
Engineering, Multidisciplinary
Lingjuan Chen, Yu Wang, Dongfang Ma
Summary: The study proposes a bounded-rational day-to-day dynamic learning and adjustment model for travellers, taking navigation information into account. By updating travellers' departure time with real-time navigation guidance and historical experience, the accuracy of route choice is improved. The model converges to a spatial-temporal oscillating equilibrium instead of a fixed-point stable status, providing insights on improving prediction accuracy of traffic state in urban street networks.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Transportation Science & Technology
Renxin Zhong, Jianhui Xiong, Yunping Huang, Nan Zheng, William H. K. Lam, Tianlu Pan, Biao He
Summary: Recent research shows that trip-based models are more accurate at capturing network hyper-congestion compared to conventional macroscopic fundamental diagram (MFD) dynamics, but analyzing dynamic user equilibrium of departure time choice remains a challenge due to the complex mathematical structure. The study highlights significant differences in information support between basic trip-based models and traditional MFD models.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Physics, Multidisciplinary
Takashi Nagatani
Summary: This study investigates the traffic dynamics of route choice using real-time information in a two-route network with an onramp. A macroscopic two-route network model with an onramp is proposed for route choice. The introduction of the onramp changes the traffic behavior in the two-route network. The traffic dynamics depend on both entrance and onramp inflows, and a dynamic transition between oscillating and stationary traffics occurs by varying both entrance and onramp inflows. The dynamic transition resembles Hopf bifurcation.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Transportation
Zhanhong Cheng, Jia Yao, Anthony Chen, Shi An
Summary: This paper investigates the conditions and characteristics of stochastic traffic assignment paradoxes in three models: multinomial logit, multinomial weibit, and multiplicative hybrid, finding that the multiplicative hybrid model fits the data the best. The study suggests that the other two models exhibit inherent tendencies, and the paradoxical links identified by the multiplicative hybrid model are a compromise of the other two models.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2022)
Article
Economics
Terry L. Friesz, Ke Han, Amir Bagherzadeh
Summary: This paper presents sufficient conditions for convergence of projection and fixed-point algorithms used to compute dynamic user equilibrium with elastic travel demand, without the need for strongly monotone increasing path delay operators. Instead, weakly monotone increasing path delay operators and strongly monotone decreasing inverse demand functions are assumed. The Lipschitz continuity of path delay is a mild regularity condition, allowing for convergence even with nonmonotone delay operators under certain conditions.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Environmental Studies
D. Kang, F. Hu, M. W. Levin
Summary: This study examines the impacts of induced AV trips on the transportation network and proposes a solution algorithm. Test results demonstrate that the use of AVs increases average travel time and allows for the repurposing of parking spaces.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Transportation Science & Technology
Cong Quoc Tran, Mehdi Keyvan-Ekbatani, Dong Ngoduy, David Watling
Summary: This paper discusses the possibility of wireless charging while driving and how to promote the market penetration of electric vehicles by optimizing the deployment of wireless charging lanes on the network. A multi-class dynamic system optimal model is adopted to compute an approximate representation of dynamic traffic flow, and the charging location problem is addressed through a mixed-integer linear program.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Nam H. Hoang, Manoj Panda, Hai L. Vu, Dong Ngoduy, Hong K. Lo
Summary: This study focuses on a transport network with two types of users, selfish and cooperative. Selfish users aim to minimize their travel time, while cooperative users aim to maximize their class's aggregate throughput or minimize their total travel time. A new framework is proposed to study the route choices and network performance of the two classes of users.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Economics
Xiaolei Wang, Jun Wang, Lei Guo, Wei Liu, Xiaoning Zhang
Summary: A new modeling approach for ridesharing user equilibrium (RUE) was proposed, which transforms the problem into a convex programming problem by redefining feasible driver trajectories and ridesharing market equilibrium conditions. The algorithm effectively avoids path enumeration and can be implemented on large networks, with theoretical analysis and numerical demonstrations on the impact of problem size on computational efficiency.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Engineering, Civil
Markus Friedrich, Matthias Schmaus, Jonas Sauer, Tobias Zundorf
Summary: This paper investigates existing departure time models for a schedule-based transit assignment and their parametrization. It suggests using 1-minute intervals and introduces the concept of adaptation time. The study found that longer time intervals led to arbitrary run volumes, indicating the need for a nonlinear evaluation function to better describe passenger behavior.
TRANSPORTATION RESEARCH RECORD
(2021)
Article
Transportation
Islam Kamel, Md Sami Hasnine, Amer Shalaby, Khandker Nurul Habib, Baher Abdulhai
Summary: This paper presents a large-scale integrated modelling framework that captures the relationships between travel mode choice, departure time choice, and route choices. A case study of replacing the current flat transit fare in the City of Toronto with a time-based transit fare structure is presented, showing the effects on transit users' behavior and transit vehicles crowdedness.
CASE STUDIES ON TRANSPORT POLICY
(2021)
Article
Thermodynamics
Ze Zhou, Zhitao Liu, Hongye Su, Liyan Zhang
Summary: Dynamic wireless charging technology can alleviate range anxiety and promote the widespread use of electric vehicles. It is important to consider it as a significant charging method in future urban scenarios. This study proposes a planning strategy for the coexistence of static and dynamic charging facilities in order to maximize the comprehensive performance of the power-traffic system.
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
Z. Y. Lin, P. Zhang, H. L. Hang
Summary: This study develops a dynamic route choice model for pedestrian with mixed crowds. The results show that predictive pedestrians can improve overall evacuation efficiency in low-density situations.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Engineering, Civil
Miao Yu, Jiancheng Long
Summary: This paper investigates the control problem of a signalized intersection in a partially connected automated vehicle environment. By adopting model predictive control, a real-time eco-driving strategy is proposed to optimize the control center's driving decisions and minimize fuel consumption.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Economics
Zhi Chen, Wen-Xiang Wu, Hai-Jun Huang, Hua-Yan Shang
Summary: This paper constructs a dynamic model to capture the interactions between peripheral traffic and downtown, and examines the competition for road resources in the downtown area. It proposes optimal time-varying cordon pricing schemes and analyzes the tolls to support the system optimum. The analytical results are verified through numerical experiments.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Transportation Science & Technology
Ren-Yong Guo, Hai-Jun Huang
Summary: This article proposes a dynamical system model to analyze the dynamics of traveler mode choice and ride-sourcing car supply in a ride-sourcing market. The study finds that there may be multiple stable states in the system, and the initial number of users affects the number of users and profits at the stable state. Furthermore, setting the same price level for two platforms may not maximize their profits simultaneously.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Operations Research & Management Science
Jiancheng Long, Hai Yang, W. Y. Szeto
Summary: This research presents a model that incorporates the stochastic nature of bottleneck capacity, finding that increasing uncertainty leads to higher individual trip costs. Two toll schemes are designed and analyzed, with results showing that the time-varying toll scheme is more efficient but less so as uncertainty grows. The study offers insight into improving efficiency in the face of stochastic bottlenecks.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
Jiaqi Guo, Jiancheng Long, Xiaoming Xu, Miao Yu, Kai Yuan
Summary: In this paper, a private company's intercity ride-sharing platform is studied, aiming to maximize profit by optimizing vehicle routing. A variable neighborhood search algorithm is proposed to solve the vehicle routing problem, and a greedy route construction method and various neighborhood operators are developed to improve solution quality.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Editorial Material
Economics
Hai-Jun Huang, Ziyou Gao, Hai Yang
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Editorial Material
Economics
Hai-Jun Huang, Ziyou Gao, Hai Yang
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Tao Dong, Ning Jia, Shoufeng Ma, Shu-Xian Xu, Ghim Ping Ong, Peng Liu, Hai-Jun Huang
Summary: This paper investigates the effects of intercity commuting on travel characteristics and urban performances. The study finds that improving intercity commuting leads to higher utility levels for households and more compact cities. The consideration of agglomeration effects reveals certain patterns in city boundaries and populations.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Physics, Multidisciplinary
Huayan Shang, Chang Yi, Haijun Huang, Fangxia Zhao
Summary: This study proposes a new model to compare the cost of conventional and customized buses in Beijing, finding that customized buses can effectively reduce congestion on conventional buses only at high demand densities. The impact of distance factor on crowding cost exceeds that of load factor.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Economics
Xing-Qi Yang, Hai -Jun Huang
Summary: This paper provides new insights into the impacts of high-speed rail on urban spatial structure by proposing a two-city spatial equilibrium model. The effects of HSR station location on urban spatial structure, households' location choices, and housing rents are systematically analyzed and summarized for a micropolis and a metropolis.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Economics
Tao Wang, Peng Liao, Tie-Qiao Tang, Hai-Jun Huang
Summary: This study investigates the effects of deterministic capacity drop on commuter's departure time choice, the evolution of traffic flow, and traffic congestion in the morning commute process. It reveals a new manifestation of the capacity expansion paradox caused or influenced by the deterministic capacity drop.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2022)
Article
Operations Research & Management Science
Ren-Yong Guo, Hai Yang, Hai-Jun Huang
Summary: We study a departure time choice model for commuters in a bottleneck system with heterogeneity in travel time and schedule delays. A Walrasian toll charge scheme is used to control traffic flows. The scheme is anonymous and does not require information on travel time and schedule delays. The theoretical analysis proves that the toll charge scheme can achieve the system optimum flow pattern. The distributions of traffic flows and toll charges at the system optimum state are shown analytically, and the scheme's effectiveness is examined through numerical analyses.
TRANSPORTATION SCIENCE
(2023)
Article
Environmental Studies
Shaopeng Zhong, Ao Liu, Yu Jiang, Simon Hu, Feng Xiao, Hai-Jun Huang, Yan Song
Summary: This study analyzes the long-term effects of shared autonomous vehicles (SAVs) from the perspective of land use and transportation integration. Different SAV pricing scenarios are developed to explore the optimal pricing strategy for low carbon-oriented SAVs. Moreover, the study assesses the effect of vehicle electrification on vehicle emissions and energy consumption. The results show a significant reduction in PM2.5 emissions and energy consumption under an appropriate pricing strategy for SAVs, with further improvements achievable through vehicle electrification.
NPJ URBAN SUSTAINABILITY
(2023)
Review
Transportation
Chuan-Zhi Xie, Tie-Qiao Tang, Peng-Cheng Hu, Hai-Jun Huang
Summary: The study examines new management strategies for the civil aircraft deplaning process in response to disease transmission. The proposed strategies reduce infection risks but sacrifice deplaning efficiency.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
Article
Transportation
Liang Chen, Tie-Qiao Tang, Ziqi Song, Ren-Yong Guo, Hai-Jun Huang
Summary: The study found that children behave differently during emergency and non-emergency evacuations, with teachers playing a positive role in guiding children during emergencies. The level of emergency significantly affects the behavior and choices of children during evacuation.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2022)
