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:
IEEE Intelligent Vehicles Symposium (IV)
影响因子:
--
通讯作者:
Raj Rajkumar Ragunathan
Raj Rajkumar Ragunathan
中科院分区:
--
文献类型:
--
作者:
Aoki Shunsuke;Raj Rajkumar Ragunathan

文献摘要

参考文献

相似文献

互联和自动驾驶汽车(CAV)有望提高道路交叉口、单轨车道和施工区的交通吞吐量和安全性。然而,多个CAV可能彼此阻塞并且在这些路段周围产生相互的死锁(i)当车辆系统具有故障(诸如通信故障、控制故障或定位故障)时和/或(ii)当车辆使用长的共享路段时。在本文中,我们提出了一个自动化车辆的自动死锁检测和恢复协议A-DRIVE,这是一个分散的和时间敏感的技术,以提高交通吞吐量和缩短最坏情况下的恢复时间。为了实现自动驾驶车辆和人类驾驶车辆的死锁恢复,A-DRIVE包括两个组件:基于V2 V通信的A-DRIVE和基于本地感知的A-DRIVE。基于V2 V通信的A-DRIVE专为同质交通环境而设计,其中所有车辆都是连接和自动化的。基于本地感知的A-DRIVE适用于混合交通,其中CAV,非连接自动驾驶车辆和人类驾驶车辆共存并相互合作。由于这两个组件不是唯一的,因此CAV在实践中可以包容并无缝地使用它们。最后,我们的模拟结果表明,A-DRIVE提高流量吞吐量相比,基线协议。
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.
自动驾驶汽车和人类驾驶员的人机合作:挑战和解决方案
DOI: 10.1109/mcom.001.2001241
发表时间: 2021
影响因子: 11.2
作者:
Shunsuke Aoki;Chung;R. Rajkumar
通讯作者: R. Rajkumar
DOI: --
发表时间: 2019
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
使用协调图进行虚拟环境中多个智能体的运动规划
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