基于v2x的机动协调对交通的影响研究

A. Correa, S. Avedisov, M. Sepulcre, A. Sakr, Rafael Molina-Masegosa, O. Altintas, J. Gozálvez
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引用次数: 10

摘要

联网和自动驾驶汽车(cav)有望利用车联网(V2X)通信来交换传感器和轨迹数据。利用这些数据,自动驾驶汽车可以协调它们的机动,以实现更安全、更高效的驾驶。ETSI和SAE目前正在制定机动协调和协同驾驶的标准。ETSI目前的方法是基于分布式解决方案,车辆使用车对车(V2V)通信来交换计划和期望的轨迹。本研究利用一种独特的仿真工具,评估了ETSI机动协调服务在提高交通速度方面的潜在效益。为此,我们首先评估机动协调对参与协调过程的车辆的影响。我们还评估了机动协调对整体交通的影响,并与没有协调的情况进行了比较。我们的研究表明,机动协调可以产生显著的交通机动性效益,但这些改善与周围交通环境和协调机动规范密切相关。这突出表明需要对机动协调协议的设计进行更详细的研究,在执行和配置协调过程时应考虑车辆环境。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the Impact of V2X-based Maneuver Coordination on the Traffic
Connected and automated vehicles (CAVs) are expected to make use of Vehicle-to-Everything (V2X) communication to exchange sensor and trajectory data. Using this data, CAVs can coordinate their maneuvers for safer and more efficient driving. ETSI and SAE are currently working to define standards for maneuver coordination and cooperative driving. The current approach at ETSI is based on a distributed solution where vehicles use Vehicle-to-Vehicle (V2V) communication to exchange their planned and desired trajectories. This study evaluates the potential benefits of the ETSI Maneuver Coordination Service to improve the traffic speed using a unique simulation tool. To do so, we first evaluate the impact of maneuver coordination on the vehicles involved in a coordination process. We also evaluate the effects of maneuver coordination on the overall traffic compared to scenarios without coordination. Our study shows that maneuver coordination can yield significant benefits to traffic mobility, however these improvements are intimately linked to the surrounding traffic environment and the specifications of the coordinated maneuver. This highlights the need for more detailed studies on the design of maneuver coordination protocols that should consider the vehicular context when executing and configuring the coordination process.
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