A Driver-Friendly Cooperative Control Method for Connected and Automated Vehicles at An Unsignalized Intersection

Yuan Zhao, Xuegang Yan, Shixi Wen, Mengchao Li, Huazhi Sun
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Abstract

New technologies about connected and automated vehicles (CAVs) and the rapid development of wireless communication technologies promote research on unsignalized intersection coordination. Through vehicle-to-vehicle and vehicle-to-infrastructure communication, CAVs can cooperatively pass through the signal-free intersection safely and efficiently. But previous studies focus more on avoiding collisions and improving intersection throughput, ignoring the experience of drivers. In this paper, we consider from the driver’s point of view, and give priority to the following three evaluation indices: driving comfort, fuel economy and travel time, which are calculated quantificationally in the simulation part. In addition, to ensure safety and passing through synchronously, we divide the collision-free constraints into two parts: rear-end collision avoidance and lateral collision avoidance, which are satisfied by using this plain way. On this basis, we propose a new driver-friendly cooperative control method to handle the signal-free intersection coordination problem. Finally, we conduct comprehensive experiments, and the simulation results demonstrate the effect and the superiority of the proposed method.
无信号交叉口网联自动驾驶车辆的驾驶员友好型协同控制方法
网联和自动驾驶汽车的新技术以及无线通信技术的快速发展促进了无信号交叉口协调的研究。通过车与车、车与基础设施的通信,自动驾驶汽车可以安全、高效地协同通过无信号交叉口。但以往的研究更多地关注于避免碰撞和提高交叉口吞吐量,而忽略了驾驶员的经验。本文从驾驶员的角度出发,优先考虑以下三个评价指标:驾驶舒适性、燃油经济性和行驶时间,仿真部分对这些指标进行了量化计算。此外,为了保证安全与同步通过,我们将无碰撞约束划分为两个部分:追尾避碰和侧面避碰,使用这种平面化的方式来满足这两个部分。在此基础上,提出了一种新的驾驶员友好型协同控制方法来解决无信号交叉口协调问题。最后进行了综合实验,仿真结果验证了所提方法的有效性和优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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