@inproceedings{c59e5dc342c84a5da6c4c0aaafe026f6,
title = "Work-in-Progress: Time-Aware Formation Control of Connected and Automated Vehicle Platoon Based on Weighted Graph Theory",
abstract = "The regulation time is an important index for formation switching control of connected and automated vehicle (CA V) platoon. This paper proposes a time-aware formation control (T AFC) strategy to improve the formation switching performance of CA V platoon. To construct an effective information sharing mechanism among the vehicles in the platoon, a unidirectional weighted graph is designed to construct the relation of the CA V platoon and calculate the impact factor between two different vehicles. Based on the unidirectional weighted graph, the time-aware requirement is converted to the regulation order problem, and the regulation order which corresponding to the minimum time is designed. According to the T AFC, the qualitative regulation strategy of the CA V platoon and the quantitative tune-up strategy of the vehicles are determined. In order to analyze the performance of the TAFC strategy, two state-of-art methods are selected as the benchmarked methods. The validation results demonstrate the proposed method possesses better performance for formation switching control compared with the benchmarked methods.",
keywords = "connected and automated vehicle, formation control, multi-agent systems, regulation time, time-aware requirement",
author = "Ying Zhang and Tingyi Zhao and Yingjie Zhang and Tao You and Yantao Lu and Jinchao Chen",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 44th IEEE Real-Time Systems Symposium, RTSS 2023 ; Conference date: 05-12-2023 Through 08-12-2023",
year = "2023",
doi = "10.1109/RTSS59052.2023.00051",
language = "英语",
series = "Proceedings - Real-Time Systems Symposium",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "455--458",
booktitle = "44th IEEE Real-Time Systems Symposium, RTSS 2023",
}