A-DRIVE: Autonomous Deadlock Detection and Recovery at Road Intersections for Connected and Automated Vehicles
A-DRIVE: Autonomous Deadlock Detection and Recovery at Road Intersections for Connected and Automated Vehicles
复制标题
A-DRIVE:联网和自动驾驶车辆道路交叉口的自主死锁检测和恢复
DOI:
10.1109/iv51971.2022.9827436
复制
发表时间:
2022
期刊:
影响因子:
--
通讯作者:
Raj Rajkumar Ragunathan
中科院分区:
文献类型:
--
作者:
Aoki Shunsuke;Raj Rajkumar Ragunathan
Connected and Automated Vehicles (CAVs) are highly expected to improve traffic throughput and safety at road intersections, single-track lanes, and construction zones. However, multiple CAVs can block each other and create a mutual deadlock around these road segments (i) when vehicle systems have a failure, such as a communication failure, control failure, or localization failure and/or (ii) when vehicles use a long shared road segment. In this paper, we present an Autonomous Deadlock Detection and Recovery Protocol at Intersections for Automated Vehicles named A-DRIVE that is a decentralized and time-sensitive technique to improve traffic throughput and shorten worst-case recovery time. To enable the deadlock recovery with automated vehicles and with human-driven vehicles, A-DRIVE includes two components: V2V communication-based A-DRIVE and Local perception-based A-DRIVE. V2V communication-based A-DRIVE is designed for homogeneous traffic environments in which all the vehicles are connected and automated. Local perception-based A-DRIVE is for mixed traffic, where CAVs, non-connected automated vehicles, and human-driven vehicles co-exist and cooperate with one another. Since these two components are not exclusive, CAVs inclusively and seamlessly use them in practice. Finally, our simulation results show that A-DRIVE improves traffic throughput compared to a baseline protocol.
登录
查看更多内容
影响因子:
11.2
作者:
Shunsuke Aoki;Chung;R. Rajkumar
通讯作者:
R. Rajkumar
影响因子:
2
作者:
Yi;Hsiang;Shang;Chung;I. Jiang;Changliu Liu
通讯作者:
Changliu Liu
DOI:
10.1109/vnc.2017.8275639
发表时间:
2017
期刊:
2017 IEEE Vehicular Networking Conference (VNC)
影响因子:
--
作者:
Abeer Hakeem;N. Gehani;Reza Curtmola;Xiaoning Ding;C. Borcea
通讯作者:
C. Borcea
DOI:
10.1109/vnc48660.2019.9062810
发表时间:
2019
期刊:
2019 IEEE Vehicular Networking Conference (VNC)
影响因子:
--
作者:
Hendrik;Vivek Vijaya Kumar;Shahriyar Hussain;K. Sommerwerk;D. Bondarenko
通讯作者:
D. Bondarenko
DOI:
10.1109/robot.2005.1570148
发表时间:
2005
期刊:
Proceedings of the 2005 IEEE International Conference on Robotics and Automation
影响因子:
--
作者:
Yi Li;K. Gupta;S. Payandeh
通讯作者:
S. Payandeh