MPC Control Strategy for Autonomous Vehicles Driving in Roundabouts

Zsófia Farkas, András Mihály, P. Gáspár
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引用次数: 1

Abstract

The appearance of autonomous vehicles (AVs) in transportation has increased the attention of the scientific community to develop modern solutions for the control design of AVs in different traffic scenarios. In this paper a control method is proposed for the coordination of autonomous vehicles in roundabout scenarios. For collision avoidance and minimization of traveling time, a Model Predictive Control (MPC) with a centralized controller is introduced to calculate the traveling times of the vehicles. A presented algorithm determines velocity profiles for safety reasons and for the reduction of possible congestion. The operation of the proposed MPC method is tested and demonstrated in CarSim simulation environment.
自动驾驶汽车在环形交叉路口行驶的MPC控制策略
自动驾驶汽车(AVs)在交通领域的出现,引起了科学界对开发不同交通场景下自动驾驶汽车控制设计的现代解决方案的关注。提出了一种环形交叉口自动驾驶车辆协调控制方法。为了避免碰撞和最小化行驶时间,引入了一种带有集中控制器的模型预测控制(MPC)来计算车辆的行驶时间。提出了一种算法确定速度分布的安全原因和减少可能的拥塞。在CarSim仿真环境中对所提出的MPC方法进行了测试和验证。
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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