Decentralized optimal control of Connected Automated Vehicles at signal-free intersections including comfort-constrained turns and safety guarantees

被引:58
|
作者
Zhang, Yue [1 ,2 ]
Cassandras, Christos G. [1 ,2 ]
机构
[1] Boston Univ, Div Syst Engn, Boston, MA 02215 USA
[2] Boston Univ, Ctr Informat & Syst Engn, Boston, MA 02215 USA
关键词
ROADS;
D O I
10.1016/j.automatica.2019.108563
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We extend earlier work for optimally controlling Connected Automated Vehicles (CAVs) crossing a signal-free intersection by including all possible turns taken so as to optimize a passenger comfort metric along with energy and travel time minimization. We show that it is possible to achieve this goal in a decentralized manner with each CAV solving an optimal control problem, and derive explicit solutions that guarantee collision avoidance and safe distance constraints within a control zone. We investigate the associated tradeoffs between minimizing energy and vehicle travel time, as well as the passenger comfort metric and include extensive simulations to illustrate this framework. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页数:16
相关论文
共 46 条
  • [41] Optimal Coordination and Control of Connected and Automated Vehicles at Intersections via Mixed Integer Linear Programming
    Hafizulazwan Mohamad Nor M.
    Namerikawa T.
    SICE Journal of Control, Measurement, and System Integration, 2019, 12 (06): : 215 - 222
  • [42] Optimal control of connected and automated vehicles at highway on-ramps to reduce vehicles fuel consumption and increase passenger comfort
    Sonbolestan, Mohammad-Reza
    Monajjem, Saeed
    CONTROL ENGINEERING PRACTICE, 2021, 109
  • [43] Platoon-based collision-free control for connected and automated vehicles at non-signalized intersections
    Gong, Jian
    Zhao, Yuan
    Cao, Jinde
    Huang, Wei
    ELECTRONIC RESEARCH ARCHIVE, 2023, 31 (04): : 2149 - 2174
  • [44] A Multi-Objective Optimal Control Method for Navigating Connected and Automated Vehicles at Signalized Intersections Based on Reinforcement Learning
    Jiang, Han
    Zhang, Hongbin
    Feng, Zhanyu
    Zhang, Jian
    Qian, Yu
    Wang, Bo
    APPLIED SCIENCES-BASEL, 2024, 14 (07):
  • [45] Joint optimisation of vehicle trajectory and signal control at intersections mixed with connected automated vehicles: a departure sequence estimation-based approach
    Chen, Peng
    Wei, Lei
    Wang, Tong
    Yu, Guizhen
    TRANSPORTMETRICA B-TRANSPORT DYNAMICS, 2024, 12 (01)
  • [46] Safe- and Eco-Driving Control for Connected and Automated Electric Vehicles Using Analytical State-Constrained Optimal Solution
    Han, Jihun
    Sciarretta, Antonio
    Ojeda, Luis Leon
    De Nunzio, Giovanni
    Thibault, Laurent
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2018, 3 (02): : 163 - 172