When Automated Vehicles Meet Non-Signalized Intersections: A Collision-Free Scheduling Solution

Yunting Xu, Haibo Zhou, Bo Qian, Hanlin Wu, Zhijian Zhang, Xuemin Shen
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引用次数: 9

Abstract

To develop the future intelligent intersection vehicular traffic management strategies in automated vehicle era, increasing attentions have been paid to the non-signalized intersection scenarios by leveraging the connected vehicle techniques. In the paper, we present an optimal automated vehicle traffic scheduling solution to non-signalized intersection management to maximize the intersection throughput without collision risk. First, we formulate the collision-free vehicular traffic scheduling problem, in which a general vehicular traffic arrival model considering both individual vehicle and platoon cases has been developed. Furthermore, a heuristic algorithm is proposed to calculate the optimal entering time of each automated vehicle and enhance the efficiency of the intersection management to the utmost extent, namely optimal entering time scheduling (OETS) algorithm. Simulation results demonstrate that the proposed OETS algorithm can significantly reduce the traffic delay and is much efficient than traditional traffic lights.
当自动驾驶车辆遇到无信号交叉口:一个无碰撞调度解决方案
为了制定未来自动驾驶汽车时代智能交叉口车辆交通管理策略,利用车联网技术对无信号交叉口场景进行了越来越多的关注。本文针对无信号交叉口管理问题,提出了一种优化的车辆自动调度方案,使交叉口吞吐量最大化而不产生碰撞风险。首先,提出了无碰撞车辆交通调度问题,建立了考虑单个车辆和队列情况的一般车辆交通到达模型;在此基础上,提出了一种启发式算法来计算每辆自动驾驶车辆的最优进入时间,最大限度地提高交叉口管理效率,即最优进入时间调度(OETS)算法。仿真结果表明,所提出的OETS算法可以显著降低交通延迟,比传统的交通灯效率高。
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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