Adaptive control with moving actuators at motorway bottlenecks with connected and automated vehicles

被引:9
|
作者
Du, Yu [1 ,2 ,3 ]
Makridis, Michail A. [2 ]
Tampere, Chris M. J. [4 ]
Kouvelas, Anastasios [2 ]
ShangGuan, Wei [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
[2] Swiss Fed Inst Technol, Inst Transport Planning & Syst, Dept Civil Environm & Geomatic Engn, Zurich, Switzerland
[3] Natl Innovat Ctr Intelligent & Connected Vehicles, Beijing, Peoples R China
[4] Katholieke Univ Leuven, Ctr Ind Management Traff & Infrastruct, Leuven, Belgium
基金
中国国家自然科学基金; 瑞士国家科学基金会;
关键词
Motorway bottleneck control; Connected and automated vehicles; Mixed traffic flow; Variable speed limit; TRAFFIC-FLOW; AUTONOMOUS VEHICLES; CRUISE CONTROL; CAPACITY; MODEL; OPTIMIZATION; IMPACT;
D O I
10.1016/j.trc.2023.104319
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Connected and automated vehicles (CAVs) have the potential to improve the operation of future road traffic systems. In this paper, we propose a control method that uses CAVs as dynamic actuators to improve the capacity at motorway bottlenecks robustly. The proposed approach has been designed for mixed traffic flow using the fundamental diagram model of mixed traffic flow as a control activation tool. In order to implement our approach, we assume that the availability of detectors at motorway are able to obtain the density in real-time. The idea is that assuming a certain percentage of CAVs presence on the road, such vehicles can be used as mobile actuators to perform speed coordination tasks. Furthermore, the aim is to transfer the delays observed at the bottlenecks upstream on the motorway, where the conditions are more homogeneous. The proposed approached can be generalized and used in bottleneck scenarios with or without additional inflow from an on-ramp. According to the designed control strategy, when the traffic density at the bottleneck satisfies the activation condition, the CAVs will shift to moving actuator mode and generate a new speed profile. The objective is to improve traffic flow at the downstream bottleneck and also smooth the upstream arrival vehicle speed, thus improving the overall throughput of the network. The method has been evaluated through microscopic simulation experiments conducted with scenarios on the real-case study, a motorway in Antwerp, Belgium. The results show significant improvements in reducing traffic density and improving travel speed both locally at the control area, as well as at network level. Comparative experiments under different penetration rates show that the proposed method remains robust to the percentage of CAVs on the road. Finally, it can significantly reduce vehicle delays and prevent over-congested conditions, and also improve the traffic flow rate, even for relatively low penetration rates of CAVs.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] Highway Traffic Control with Moving Bottlenecks of Connected and Automated Vehicles for Travel Time Reduction
    Piacentini, G.
    Ferrara, A.
    Papamichail, I.
    Papageorgiou, M.
    2019 IEEE 58TH CONFERENCE ON DECISION AND CONTROL (CDC), 2019, : 3140 - 3145
  • [2] An adaptive cascade predictive control strategy for connected and automated vehicles
    Landolfi, Enrico
    Natale, Ciro
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2023, 37 (10) : 2725 - 2751
  • [3] Evaluation of an MPC Strategy for Motorway Traffic Comprising Connected and Automated Vehicles
    Perraki, Georgia
    Roncoli, Claudio
    Papamichail, Ioannis
    Papageorgiou, Markos
    2017 IEEE 20TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2017,
  • [4] Gap setting control strategy for connected and automated vehicles in freeway lane-drop bottlenecks
    Chung, Sungyong
    Ka, Dongju
    Kim, Yongju
    Lee, Chungwon
    IET INTELLIGENT TRANSPORT SYSTEMS, 2024, 18 (12) : 2641 - 2659
  • [5] Adaptive Safety Evaluation for Connected and Automated Vehicles With Sparse Control Variates
    Yang, Jingxuan
    Sun, Haowei
    He, Honglin
    Zhang, Yi
    Liu, Henry X.
    Feng, Shuo
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024, 25 (02) : 1761 - 1773
  • [6] Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios
    Yang, Jingxuan
    He, Honglin
    Zhang, Yi
    Feng, Shuo
    Liu, Henry X.
    2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC), 2022, : 2791 - 2797
  • [7] Platoon or individual: An adaptive car-following control of connected and automated vehicles
    Zong, Fang
    Yue, Sheng
    Zeng, Meng
    He, Zhengbing
    Ngoduy, Dong
    CHAOS SOLITONS & FRACTALS, 2025, 191
  • [8] Adaptive traffic control at motorway bottlenecks with time-varying Fundamental Diagram
    Tajdari, Farzam
    Roncoli, Claudio
    IFAC PAPERSONLINE, 2021, 54 (02): : 271 - 277
  • [9] Efficient control of connected and automated vehicles on a two-lane highway with a moving bottleneck
    Liu, Huaqing
    Jiang, Rui
    CHINESE PHYSICS B, 2023, 32 (05)
  • [10] Efficient control of connected and automated vehicles on a two-lane highway with a moving bottleneck
    刘华清
    姜锐
    Chinese Physics B, 2023, (05) : 603 - 612