A cooperative energy efficient truck platoon lane-changing model preventing platoon decoupling in a mixed traffic environment

被引:10
|
作者
Li, Meng [1 ]
Li, Zhibin [1 ]
Zhou, Yang [2 ]
Wu, Jiaming [3 ]
机构
[1] Southeast Univ, Sch Transportat, Nanjing, Peoples R China
[2] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX 77843 USA
[3] Chalmers Univ Technol, Dept Elect Engn, Dept Architecture & Civil Engn, Gothenburg, Sweden
基金
中国国家自然科学基金;
关键词
Autonomous truck platoon; connected automated vehicles; cooperative lane change; model predictive control; STRING STABILITY; CONTROL STRATEGY; VEHICLE;
D O I
10.1080/15472450.2022.2119386
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
Truck platooning has gained increasing attention due to the benefits in energy and operation efficiency in freight transportation. One significant challenge for deploying truck platoons is the safe and efficient interaction with surrounding traffic, especially at freeway discontinuities where mandatory lane changes usually lead to the decoupling of truck platoons. This study proposes a cooperative truck platoon lane-changing model (CTPLC) to prevent the decoupling of truck platoons in a mixed traffic environment. Specifically, a two-step control strategy is presented, where vehicles in the target lane firstly cooperatively adjust speeds to create an appropriate gap for a truck platoon, and then trucks within the truck platoon conduct lane change sequentially. The cooperative speed profiles are generated by solving an optimization problem considering the lane-changing influence and energy consumption. Based on that, a two-dimensional nonlinear model predictive control (MPC) algorithm is employed to generate vehicular acceleration and steering angle for each truck. A series of numerical simulation experiments were conducted to validate the proposed strategy. As shown by the results, our proposed method truck platoon could conduct a lane change in a traffic-efficient and safe manner, and meanwhile, our method was more energy-efficient than a benchmark strategy.
引用
收藏
页码:174 / 188
页数:15
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