Anti-bullying Adaptive Cruise Control

被引:0
|
作者
Lian, Zhexi [1 ]
Wang, Haoran [1 ,6 ]
Zhang, Zihan [2 ]
Qian, Ruoxi [3 ]
Li, Duo [4 ]
So, Jaehyun [5 ]
Hu, Jia [1 ]
机构
[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, 4800 Caoan Rd, Shanghai 201804, Peoples R China
[2] Shanghai Motor Vehicle Inspect Certificat & Tech, Shanghai 201804, Peoples R China
[3] UCL, Math Dept, 25 Gordon St, London, England
[4] Newcastle Univ, Dept Civil & Geospatial Engn, Newcastle Upon Tyne NE1 7RU, England
[5] Ajou Univ, Dept Transportat Syst Engn, Suwon 16499, Gyeonggi, South Korea
[6] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Peoples R China
来源
2024 35TH IEEE INTELLIGENT VEHICLES SYMPOSIUM, IEEE IV 2024 | 2024年
基金
中国博士后科学基金; 中国国家自然科学基金; 国家重点研发计划;
关键词
D O I
10.1109/IV55156.2024.10588550
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The current adaptive cruise control (ACC) systems are susceptible to disruptive behaviors such as mandatory cutins, commonly known as "road bullying". To address this issue, this paper introduces an anti-bullying adaptive cruise control (AACC) approach endowed with proactive right-of-way protection capabilities. It bears the following features: i) with the capability of preventing bullying from mandatory cut-ins; ii) with real-time field implementation capability. The proposed approach utilizes inverse optimal control (IOC) technology to discern the driving styles of other road users online, subsequently employing Stackelberg competition for motion planning. Extensive simulation results demonstrate the efficacy of the proposed approach in thwarting bullying from mandatory cut-ins. Additionally, the approach exhibits support for realtime field deployment by maintaining computation times of less than 50 milliseconds.
引用
收藏
页码:164 / 167
页数:4
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