在一个没有交通信号灯的十字路口,自动驾驶车辆的协调

Md Abdus Samad Kamal, J. Imura, A. Ohata, T. Hayakawa, K. Aihara
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引用次数: 32

摘要

提出了一种车联网环境下不使用交通灯的交叉口自动驾驶车辆协调方案。通过在模型预测控制框架中综合考虑各个路段的状态,从各个路段驶近十字路口的车辆实现了全局协调,以确保其安全快速通过。在避免交叉碰撞风险的基础上,计算车辆的最优轨迹。与其他方法相比,该方案通过生成距离较远的车辆相对于交叉碰撞点的轨迹来提高安全性,并且在不使用辅助车道的情况下实现速度约束下的转向运动。通过对一个由4条单车道路径组成的简单测试交叉口的数值模拟,对所提出的协调方案进行了评价。在不同交通流条件下的观测结果表明,与传统的基于红绿灯的交叉口控制相比,该方案的控制性能有显著提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coordination of automated vehicles at a traffic-lightless intersection
This paper presents a coordination scheme of automated vehicles at an intersection without using any traffic lights under a connected vehicles environment. Vehicles approaching the intersection from all sections are globally coordinated, by considering their states all together in a model predictive control framework, for their safe and rapid crossing. The optimal trajectories of the vehicles are computed based on avoidance of the cross-collision risks around the intersection. Compared with the other methods, the scheme enhances safety by generating the trajectories of vehicles far from each other with respect to the cross-collision points and enables turning movements under constrained velocity without using any auxiliary lanes. The proposed coordination scheme is evaluated through numerical simulation for a simple test intersection consisting of four single-lane approaches. Observations under different traffic flow conditions reveal that the proposed scheme significantly improves performance compared with the traditional traffic-light-based intersection control.
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