Model predictive control-based cooperative lane change strategy for improving traffic flow

被引:29
作者
Wang, Di [1 ,2 ,3 ]
Hu, Manjiang [4 ]
Wang, Yunpeng [1 ,2 ]
Wang, Jianqiang [4 ]
Qin, Hongmao [4 ]
Bian, Yougang [4 ]
机构
[1] Beihang Univ, Beijing Key Lab Cooperat Vehicle Infrastruct Syst, Beijing 100191, Peoples R China
[2] Beihang Univ, Sch Transportat Sci & Engn, Beijing 100191, Peoples R China
[3] Jiangsu Prov Collaborat Innovat Ctr Modern Urban, Nanjing, Peoples R China
[4] Tsinghua Univ, State Key Lab Automot Safety & Energy, Beijing 100084, Peoples R China
关键词
Transport engineering; cooperative lane change; model predictive control; vehicle-to-vehicle communication; traffic flow; ADAPTIVE CRUISE CONTROL; VEHICLES; PLATOON;
D O I
10.1177/1687814016632992
中图分类号
O414.1 [热力学];
学科分类号
摘要
Lane change has attracted more and more attention in recent years for its negative impact on traffic safety and efficiency. However, few researches addressed the multi-vehicle cooperation during lane change process. In this article, feasibility criteria of lane change are designed, which considers the acceptable acceleration/deceleration of neighboring vehicles; meanwhile, a cooperative lane change strategy based on model predictive control is proposed in order to attenuate the adverse impacts of lane change on traffic flow. The proposed strategy implements the centralized decision making and active cooperation among the subject vehicle performing lane change in the subject lane and the preceding vehicle and the following vehicle in the target lane during lane change. Using model predictive control, safety, comfort, and traffic efficiency are integrated as the objectives, and lane change process is optimized. Numerical simulation results of the cooperative lane change strategy suggest that the deceleration of following vehicle can be weakened and further the shock wave propagated in traffic flow can be alleviated to some degree compared with traditional lane change.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 39 条
[31]   Control of vehicle platoons for highway safety and efficient utility: Consensus with communications and vehicle dynamics [J].
Wang Le Yi ;
Syed, Ali ;
Yin, Gang George ;
Pandya, Abhilash ;
Zhang Hongwei .
JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY, 2014, 27 (04) :605-631
[32]   Lane-changing model with dynamic consideration of driver's propensity [J].
Wang, Xiaoyuan ;
Wang, Jianqiang ;
Zhang, Jinglei ;
Ban, Xuegang .
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2015, 26 (02)
[33]   Practical String Stability of Platoon of Adaptive Cruise Control Vehicles [J].
Xiao, Lingyun ;
Gao, Feng .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2011, 12 (04) :1184-1194
[34]   A microscopic traffic simulator for evaluation of dynamic traffic management systems [J].
Yang, Q ;
Koutsopoulos, HN .
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 1996, 4 (03) :113-129
[35]   Lane change steering manoeuvre using model predictive control theory [J].
Yoshida, Hidehisa ;
Shinohara, Shuntaro ;
Nagai, Masao .
VEHICLE SYSTEM DYNAMICS, 2008, 46 :669-681
[36]   Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system [J].
You, Feng ;
Zhang, Ronghui ;
Lie, Guo ;
Wang, Haiwei ;
Wen, Huiyin ;
Xu, Jianmin .
EXPERT SYSTEMS WITH APPLICATIONS, 2015, 42 (14) :5932-5946
[37]   Recent developments and research needs in modeling lane changing [J].
Zheng, Zuduo .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 60 :16-32
[38]   Freeway traffic oscillations: Microscopic analysis of formations and propagations using Wavelet Transform [J].
Zheng, Zuduo ;
Ahn, Soyoung ;
Chen, Danjue ;
Laval, Jorge .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2011, 45 (09) :1378-1388
[39]   Impact of traffic oscillations on freeway crash occurrences [J].
Zheng, Zuduo ;
Ahn, Soyoung ;
Monsere, Christopher M. .
ACCIDENT ANALYSIS AND PREVENTION, 2010, 42 (02) :626-636