Change Lane as You Wish: Cooperative Adaptive Cruise Control Lane Change Controller

被引:0
|
作者
Wang, Haoran [1 ]
Lai, Jintao [1 ]
Hu, Jia [2 ]
机构
[1] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, Shanghai 201804, Peoples R China
[2] Tongji Univ, Minist Educ, Key Lab Rd & Traff Engn, Inst Adv Study, Shanghai 201804, Peoples R China
来源
2022 34TH CHINESE CONTROL AND DECISION CONFERENCE, CCDC | 2022年
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
CACC; Platoon Lane Change; Motion Planning; String Stability; Backward-Looking; PLATOON; DESIGN;
D O I
10.1109/CCDC55256.2022.10034097
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This research proposes a Cooperative Adaptive Cruise Control Lane Change (CACCLC) controller. It is designed for maneuvering a CACC platoon to change lane in dense traffic. The proposed controller has the following features: i) with enhanced change-lane-in-dense-traffic capability; ii) with an improved success rate of lane-change; iii) with string stability. A Backward-Looking (BL) CACC information topology is adopted for better serving the objective of making space to change lane. The proposed controller is evaluated on a simulation platform with the context of traffic and a joint simulation platform consisting of PreScan and Matlab/Simulink. The proposed controller is evaluated against the conventional simultaneous CACCLC controller. Sensitivity analysis has been conducted in terms of congestion level and road type. Results demonstrate that, compared to the conventional simultaneous CACCLC method, the proposed controller does enhance CACCLC capability no matter the lane-change competence and efficiency. The magnitude of enhancement on competence is 13.96% on arterials and 24.25% on freeways on average. The magnitude of enhancement on efficiency is 40.79% on arterials and 66.95% on freeways on average. The computation time of the proposed CACCLC controller is approximately 15 milliseconds when running on a laptop equipped with an Intel i7-8750H CPU. This indicates that the proposed controller has the potential for real-time implementation.
引用
收藏
页码:1515 / 1522
页数:8
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