Article
Green & Sustainable Science & Technology
Zipeng Zhang, Ning Zhang
Summary: This paper extends Vickrey's point-queue model to study ridesharing behavior during a morning commute with uncertain bottleneck location, finding two congestion cases and four dynamic departure patterns. Results suggest that the dynamic property of the mixed commuters equilibrium varies with endogenous penetration rates and schedule differences between pickup and work.
Article
Economics
Yulan Fu, Chenlan Wang, Tian-Liang Liu, Hai-Jun Huang
Summary: This study extends the existing bottleneck model with ridesharing by involving commuters' parking competition. The equilibrium solution shows that parking density and price can significantly affect commuters' ridesharing choices and arrival times. An optimal parking density and a parking fee discount for ridesharing scheme are proposed to alleviate congestion, with potential savings of up to 50% of system costs.
RESEARCH IN TRANSPORTATION ECONOMICS
(2021)
Article
Economics
Yan Zhao, Xiaolei Guo, Henry X. Liu
Summary: The uncertainty in work end time can hinder ridesharing between commuters with identical home and work locations, but autonomous vehicles can alleviate this and potentially increase commute ridesharing, reducing travel costs for commuters.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Economics
Zhihui Huang, Jiancheng Long, W. Y. Szeto, Haoxiang Liu
Summary: This paper proposes a park-and-ride-sharing (P&RS) system to manage morning peak hour congestion in a monocentric linear city. It analyzes the equilibrium ride-sharing matching patterns and traffic flow patterns, as well as designs parking charge schemes to minimize total system cost (TSC) under government management of all parking lots. Numerical examples are provided to illustrate the effectiveness of the proposed bottleneck model with P&RS and the designed parking charge schemes.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
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
Operations Research & Management Science
Dongdong He, Yang Liu, Qiuyan Zhong, David Z. W. Wang
Summary: This paper examines the impact of staggering policy on traffic congestion and social welfare in the morning commute problem with both household commuters and individual commuters. The results show that optimizing the schedule gap between work and school start times can significantly improve social welfare. A Pareto frontier is derived to provide policymakers with an optimal staggering policy for system performance. Furthermore, the capacity expansion paradox is re-examined, and it is found that expanding the capacity at the downstream bottleneck can reduce the total system cost.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
Ling-Ling Xiao, Tian-Liang Liu, Hai-Jun Huang, Ronghui Liu
Summary: Recent studies have shown that appropriate spatial allocation of bottleneck capacity can reduce total trip costs, but the effectiveness of temporal allocation is still unclear. This paper investigates the impacts of temporal and temporal-spatial bottleneck capacity allocation on morning commute patterns, finding that optimal capacity allocations depend on accurate estimation of commuters' extra carpool costs.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Transportation Science & Technology
Qiumin Liu, Rui Jiang, Wei Liu, Ziyou Gao
Summary: This study extends existing stochastic bottleneck model studies by considering a more general distribution of the bottleneck capacity. The results show that the mean travel cost and the mean total travel time may vary with the capacity degradation probability and level. It is also found that the mixed capacity distribution outperforms the binary capacity distribution in evaluating the departure/arrival pattern and mean travel cost.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2023)
Article
Engineering, Civil
Ling-Ling Xiao, Tian-Liang Liu, Hai-Jun Huang
Summary: This study proposes two tradable parking permit schemes for managing morning commute with different modes of transportation. The research finds that the prices of parking permits decrease as parking supply decreases, with solo drivers paying more than carpoolers. Additionally, a tradable undifferentiated parking permit scheme with uniform price is more efficient than a tradable differentiated scheme, but it significantly changes the permit-holding order when parking supply is low.
Article
Transportation Science & Technology
Bangyang Wei, Xiang Zhang, Wei Liu, Meead Saberi, S. Travis Waller
Summary: This study investigates the road capacity allocation scheme and step tolling-rewarding scheme for carpooling. The proposed capacity allocation schemes reserve road service capacity during designated time windows for specific carpooling vehicles, and the study models the potential braking or tactical waiting behavior due to temporal changes of right-of-way under the capacity allocation schemes. By integrating the step tolling-rewarding scheme with the capacity allocation scheme, the study manages the carpooling choices and reduces total system cost. Numerical studies are presented to illustrate the analytical results. The findings suggest that carpooling should not be rewarded in some occasions to improve system efficiency.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2022)
Article
Transportation Science & Technology
Tao Wang, Tie-Qiao Tang, Hai-Jun Huang, Xiaobo Qu
Summary: This study investigates the impact of electric vehicles (EVs) on morning commute traffic. The results show that EVs can lead to extra traffic congestion, but interventions can be implemented to mitigate this issue. Such findings shed light on policymaking for promoting EVs.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Zhe-Yi Tang, Li-Jun Tian, David Z. W. Wang
Summary: This study examines the impacts of shared autonomous vehicles on urban mobility and parking availability, and analyzes how to regulate the market in the presence of parking space constraints. It provides analytical propositions and numerical examples for different market factors, deriving system optimal solutions based on transit fare levels. The results show the importance of managing parking supply and additional SAV costs in achieving system optimality.
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
(2021)
Article
Engineering, Civil
Zemian Ke, Zhibin Li, Zehong Cao, Pan Liu
Summary: The study evaluates the performance of transfer learning algorithm in deep reinforcement learning-based VSL control, showing successful transfer of knowledge from source to target scenarios, shortening training process and improving control effects.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(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
Social Sciences, Interdisciplinary
Zhanzhi Liao, Jian Wang, Yuanyuan Li, Xiaowei Hu
Summary: This study investigates the morning commute problem and proposes a joint decision-making framework for morning commuters regarding departure time and parking choices in order to alleviate traffic congestion and improve social welfare. The integration of a time-varying tradable credit scheme is explored to further enhance the efficiency of the system.
Article
Economics
Jing-Peng Wang, Hai-Jun Huang
Summary: This paper proposes an analytical model to investigate the operating strategies of an on-demand ride service system that coordinates express and limousine services. It finds that customer preference for express over limousine plays a crucial role in the model solutions. Additionally, improving the quality of express service benefits both customers and drivers.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(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)
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
Engineering, Civil
Pengfei Wang, Yong Ma, Chenlan Wang, Jing-Peng Wang, Peng Liu, Qiong Tian, Ange Wang, Qiushi Xu
Summary: This study proposes an optimal dynamic supply scheme for parking permits in a mixed traffic environment, aiming to minimize total time lost for parking users. The scheme is based on observable variables like queuing time and cruising-for-parking time. A case study in a selected area in Beijing validates the efficiency of the proposed scheme numerically.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(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)
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)
