Article
Engineering, Mechanical
Sunita Yadav, Poonam Redhu
Summary: According to traffic flow theory, driver behavior significantly affects traffic stability. This research proposes a novel car-following model that considers both the driver's cautious and aggressive instincts. Numerical simulations and theoretical analyses show that the aspects of the enhanced model related to driver characteristics have a major impact on traffic flow stability.
JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Hua Kuang, Fang-Hua Lu, Feng-Lan Yang, Guang-Han Peng, Xing-Li Li
Summary: An extended car-following model incorporating driver's memory and mean expected velocity field effects is proposed in this paper, showing significantly improved traffic stability compared to existing models. Numerical simulations demonstrate that the coupling effect of driver's memory and mean expected velocity field can effectively suppress traffic congestion.
INTERNATIONAL JOURNAL OF MODERN PHYSICS C
(2021)
Article
Physics, Multidisciplinary
Sunita Yadav, Vikash Siwach, Poonam Redhu
Summary: The V2X technology has made significant progress in the field of intelligent transportation, improving traffic flow stability and reducing congestion by providing real-time traffic updates.
Article
Physics, Multidisciplinary
Zijian Yuan, Tao Wang, Jing Zhang, Shubin Li
Summary: This study developed a new car-following model that utilizes dynamic safe headway to prevent collisions, improve driving performance, and smooth traffic flow. The model achieved quantitative agreement with empirical data.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Economics
Qixiu Cheng, Zhiyuan Liu, Yuqian Lin, Xuesong (Simon) Zhou
Summary: A new S3 traffic flow model was proposed in this study to represent the relationship between flow, speed, and density in highway traffic, which was calibrated using real-world traffic data. This study also derived a consistent car-following model based on the proposed S-shaped speed-density function.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Construction & Building Technology
Ting Shang, Jiaxin Lu, Ying Luo, Song Wang, Zhengyu He, Aobo Wang
Summary: The study reveals significant variations in car-following behavior across different types of tunnels and consecutive sections of the same tunnel. As tunnel length increases, the driving stability of following vehicles decreases, but the level of driving safety risk is not positively correlated with tunnel length. Significant vehicle trajectory oscillation is observed within the inner sections of long and extra-long tunnels, and a significant relationship between the acceleration of following vehicles and the location within the tunnel section is found.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Engineering, Marine
Wenzhang Yang, Shangkun Jiang, Peng Liao, Hao Wang
Summary: Due to the importance of inland waterway transport in reducing carbon emissions, the demand for inland vessel transportation has significantly increased in China. This research conducted experiments to study vessel-following behavior in different restricted waterways and proposed improved car-following models to describe this behavior accurately. The results provide valuable insights into the characteristics of inland vessel traffic, aiding professionals in understanding and organizing inland waterway transportation effectively.
Article
Physics, Multidisciplinary
Weixiu Pan, Jing Zhang, Junfang Tian, Fengying Cui, Tao Wang
Summary: This paper proposes a combination car-following model that integrates a theory-driven model with a data-driven model. By optimizing parameters and integrating prediction outcomes, the model improves accuracy and controllability, and achieves significant error reduction in numerical simulations.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Physics, Multidisciplinary
Lin Hou, Yulong Pei, Qingling He
Summary: In this study, a Multi-Lane MultiVehicle State Information Index Smoothing Fusion (MLMVISF) model is proposed to enhance the stability of heterogeneous traffic flow in smart grids. Through linear stability analysis and numerical simulation, the model shows a significant improvement in stability compared to other models.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Engineering, Mechanical
Sunita Yadav, Poonam Redhu
Summary: With the increasing autonomy of vehicles, there is a growing demand for accurate information about nearby vehicles. A new car-following model has been developed with a passing effect to study the impact of driver's attention on the average velocity of their vehicle and surrounding vehicles. The model's stability condition is obtained through linear stability analysis and the mKdV equation is used to describe the evolution properties of traffic density in jammed regions. Numerical and analytical results show phase transitions and chaotic behavior in different passing rates. Increased driver attention improves the stability region and the model's effectiveness in improving vehicle movement efficiency, reducing congestion, and enhancing road safety.
NONLINEAR DYNAMICS
(2023)
Article
Transportation
Yueyi Han, Congcong Bai, Sheng Jin, Rujie Wang, Dongfang Ma
Summary: In this paper, a novel two-lane car-following model is proposed, considering the driver's visual effect. The driver's behavior changes are directly simulated based on visual information, and an improved time-to-collision (TTC) calculation is introduced. The model is formulated using the optimal velocity model framework, and its stability is analyzed through theoretical analysis and numerical simulation. The proposed model is validated and calibrated using NGSIM trajectory data, showing better fitting effect compared to other models. The findings of this study can contribute to the design of control strategies for future intelligent connected vehicles in multi-lane environments.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Shuang Han, Jing Zhang, Quanyue Yang, Zijian Yuan, Shubin Li, Fengying Cui, Chuntang Zhang, Tao Wang
Summary: This paper introduces the PID control strategy into the classical car-following system, enhancing the stability of the system and providing an efficient method for optimizing the traffic flow system.
ENGINEERING COMPUTATIONS
(2022)
Article
Physics, Multidisciplinary
Guangyi Ma, Minghui Ma, Shidong Liang, Yansong Wang, Hui Guo
Summary: The newly proposed car-following model that considers backward looking effect and headway changes with memory shows through numerical simulations that it can better stabilize traffic flow and eliminate traffic congestion.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Yunze Wang, Ranran Xu, Ke Zhang
Summary: This study examines the performance and stability of mixed traffic flow (MTF) with connected and automated vehicles (CAVs) and regular vehicles (RVs). Through theoretical modeling and numerical simulations, the results show that CAVs in the Cooperative Adaptive Cruise Control (CACC) mode can significantly decelerate in response to interference from other vehicles at the microscopic level. At the macroscopic level, as the penetration rate of CAVs increases, the overall acceleration fluctuation of the traffic flow decreases, and higher density of CAVs contributes to higher stability of MTF.
Article
Transportation
Yanyan Qin, Hao Wang
Summary: This study focuses on string stability of mixed traffic and proposes an analytical framework to analyze the stability of cooperative adaptive cruise control (CACC), adaptive cruise control (ACC), and human vehicles. By applying this framework to a specific example, the study examines the string stability from different perspectives and investigates the balance between stability and capacity for mixed traffic with CACC vehicles.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Interdisciplinary Applications
Huayan Shang, Siyu Sun, Haijun Huang, Wenxiang Wu
Summary: This study introduces a new dynamic pedestrian flow assignment model based on Decision Field Theory (DFT) and Cell Transmission Model (CTM) to explore individual decision-making processes in pedestrian evacuation. The research shows that various factors such as initial pedestrian distributions, individual preferences, and environmental conditions can influence pedestrian choices during evacuation. Furthermore, it is observed that even in the same area, pedestrians may exhibit different route and exit choices, and preference reversals can be depicted in the model.
SIMULATION MODELLING PRACTICE AND THEORY
(2021)
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
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
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)
