Intersection Control for Autonomous Vehicles Using Control Barrier Function Approach

Samaa Khaled, Omar M. Shehata, E. I. Morgan
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引用次数: 2

Abstract

Intersection management is one of the big challenges in traffic control. Autonomous vehicles are becoming more realistic. A lot of research efforts has been done to develop control systems for the autonomous vehicles in order to guarantee safety and reduce the average travel time and fuel Consumption while increasing the intersection throughput. This paper applies the concept of Control barrier function on a four way intersection. Several parametric studies were conducted to validate the the Control barrier function approach. Moreover, in order to evaluate the efficiency of the proposed approach , it is compared to a baseline scenario where the conventional vehicles operate under traffic lights. It shows better performance in terms of the average travel time and the intersection throughput. The average travel time is reduced by 14.91 to 15.11%. The intersection throughput is increased by almost 173%.
基于控制障碍函数方法的自动驾驶汽车交叉口控制
交叉口管理是交通管理的一大难题。自动驾驶汽车正变得越来越现实。为了保证安全,减少平均行驶时间和燃油消耗,同时提高交叉口吞吐量,自动驾驶汽车的控制系统已经进行了大量的研究工作。本文将控制障碍函数的概念应用于四路交叉口。进行了几个参数研究来验证控制障碍函数方法。此外,为了评估所提出的方法的效率,将其与传统车辆在红绿灯下运行的基线情景进行比较。在平均行驶时间和交叉口吞吐量方面表现出较好的性能。平均出行时间减少14.91%至15.11%。十字路口的吞吐量增加了近173%。
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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