Article
Physics, Multidisciplinary
Yajuan Guo, Licai Yang, Shenxue Hao, Xinxin Gu
Summary: This study proposes a perimeter traffic control strategy based on the Macroscopic Fundamental Diagram model to alleviate congestion and improve traffic performance in urban areas.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Economics
Heng Ding, Yunran Di, Zhongxiang Feng, Weihua Zhang, Xiaoyan Zheng, Tao Yang
Summary: The urban traffic system is a complex dynamic system, and understanding its congested areas and their impact on road networks and macroscopic control models is crucial for traffic management. This paper proposes a method for continuous subdivision of sub-regions based on similarity theory, and establishes a congested area range estimation model and a three-dimensional macroscopic fundamental diagram (MFD) model. Finally, a sliding mode control method is proposed to determine the entrance of the congested area.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Automation & Control Systems
Heng Ding, Chenyang Qin, Nan Zheng, Yuanhao Meng, Xiaoyan Zheng, Yu Zhang
Summary: This paper proposes a variable structure three-dimensional extension control method to accurately detect and control the boundary flow of congested traffic areas. The method transforms the boundary flow into a fuzzy variable using extension theory. It utilizes boundary selection and entrance metering (BSEM) to evaluate the link density data and determine the dynamic boundary, and incorporates proportional-integral (PI) control and extension lifting feedback (ELF) control to regulate the input flow and improve accuracy in the congested area.
CONTROL ENGINEERING PRACTICE
(2023)
Article
Physics, Multidisciplinary
Heng Ding, Yu Qian, Xiaoyan Zheng, Haijian Bai, Shiguang Wang, Jingwen Zhou
Summary: This study proposed a DPCPCC method to improve the operation efficiency of the road network by analyzing the relationship between parking generation aggregation index and MFD changes.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Engineering, Multidisciplinary
Jinghui Wang, Wei Lv, Yajuan Jiang, Guangchen Huang
Summary: This study proposes an improved cellular automata model for modeling mixed pedestrian-vehicle traffic scenes. The analysis of the model shows high simulation accuracy. By applying the model to simulate real-life situations, the research results reveal the impact of pedestrian intrusion behavior on traffic flow and the changes in vehicles' speed and flow rate caused by pedestrian intrusion behavior. Additionally, the study finds that lower speeds and wider sidewalks can effectively reduce the frequency of conflicts between pedestrians and vehicles.
APPLIED MATHEMATICAL MODELLING
(2023)
Review
Transportation Science & Technology
Mansour Johari, Mehdi Keyvan-Ekbatani, Ludovic Leclercq, Dong Ngoduy, Hani S. Mahmassani
Summary: Network macroscopic fundamental diagrams and related traffic dynamics models have theoretical support and empirical validation, but their readiness for practical implementation is still uncertain. This paper reviews the history of macroscopic modeling, assesses remaining gaps, and discusses opportunities for further development in theory and applications.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Economics
Shengling Gao, Daqing Li, Nan Zheng, Ruiqi Hu, Zhikun She
Summary: The resilience of transportation networks has received significant research attention, particularly in the field of network traffic flow control. However, few control approaches have targeted the mitigation of hyper-congestion, and control objectives rarely consider the system resilience requirements. This paper proposes a resilience-oriented network control method that focuses on system recovery from hyper-congested states. The control method is evaluated against existing control schemes, and results demonstrate that the proposed controller can effectively recover the system from hyper-congestion to the optimal state. This research contributes to the development of intelligent transportation systems with enhanced resilience.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Environmental Studies
S. F. A. Batista, Gabriel Tilg, Monica Menendez
Summary: This paper explores the potential of aggregated traffic models based on the Macroscopic Fundamental Diagram for building a network-wide monitoring system of travel emissions. The paper discusses how to calibrate the traffic models to estimate total network emissions. It proposes a methodology that utilizes the concept of detour ratio to model real travel distances within the aggregated traffic models and shows that network partitioning significantly influences the estimation of total emissions.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Physics, Multidisciplinary
W. Marques Jr, A. R. Mendez, R. M. Velasco
Summary: Recent applications of a new methodology have shown that critical parameters of flow-density and speed-spacing diagrams on freeways are dependent on vehicle length. In response to this, the study presents a generalization of the Prigogine-Herman traffic equation for aggressive drivers, taking into account the effective length of vehicles. The approach is similar to that used for dense gases by Enskog and provides fundamental diagrams that align well with empirical traffic data.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Transportation Science & Technology
Ziyuan Gu, Meead Saberi
Summary: This paper addresses two toll pricing problems of different complexities in Melbourne using simulation-based optimization methods. It compares four computationally efficient SBO methods, showing that while the methods perform similarly in simple problems, regressing kriging emerges as the best-performing method for complex problems due to its ability to filter out numerical noise.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Physics, Applied
Qiaobin Liu, Lu Yang, Jianqiang Wang, Keqiang Li
Summary: Due to the lack of natural driving databases containing heterogeneous traffic, the research urgently needs a large amount of measured trajectory data for modeling. This study extracts four different car-following modes of heterogeneous traffic from the HighD data set and studies the statistical characteristics of each mode separately. The results show that the existence of a truck in the following vehicle pair affects the following vehicle's speed and gap, resulting in a decrease in traffic capacity as the truck ratio increases.
MODERN PHYSICS LETTERS B
(2022)
Article
Physics, Multidisciplinary
Ruyang Yin, Nan Zheng, Zhiyuan Liu
Summary: The fundamental diagram (FD) is a crucial concept in traffic flow theory, which describes the relationship between average flow and average density. Traditional FD estimation methods using loop detectors or CCTV have cost and accuracy issues, but GPS-enabled smartphones and vehicles provide high temporal and spatial resolution traffic data for continuous traffic condition inference. This paper proposes an estimation method to capture the FD of multi-modal traffic streams in urban signalized areas. Empirical tests using real-world GPS datasets show promising results, and the impacts of multi-modal traffic and signal operations on FD estimations are analyzed and discussed.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2022)
Article
Economics
Benjamin Coifman, Balaji Ponnu, Paul El Asmar
Summary: This paper conducts an empirical study on traffic dynamics on a freeway and finds that the dynamics determining the shape of the fundamental diagram may violate stationarity assumptions of classical traffic flow theories. The research establishes the fundamental diagram based on local conditions and analyzes the composition of vehicles using the single vehicle passage method. Correlation analysis reveals that traffic states between successive stations are inconsistent with classical theories. The findings have implications for other traffic flow models relying on the fundamental diagram.
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE
(2023)
Article
Physics, Multidisciplinary
Linjie Zhou, Tiancheng Ruan, Ke Ma, Changyin Dong, Hao Wang
Summary: This paper explores the impact of CAV platoon management and control mode degradation on traffic flow, fuel consumption, and pollutant emissions. CAV platoons can significantly increase traffic capacity and reduce fuel consumption and emissions. Optimal platoon size for CAV management is suggested to be 5 vehicles.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Automation & Control Systems
Jack Haddad, Boris Mirkin
Summary: The pragmatic design method is developed for a class of uncertain systems considering different input channel delays and control saturation effects. By using auxiliary linear Smith-like dynamic units with adjustable gains for implicit time-delay prediction, the proposed control design overcomes the difficulty of directly predicting plant state and coping with various input delays. The design is unified to different time delay categories and various adaptive control feedback strategies are designed within this framework. Simulation results for perimeter control of two interacting urban traffic regions are presented.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)