A mathematical framework for cooperative collision avoidance of human-driven vehicles at intersections

A. Colombo
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引用次数: 11

Abstract

Active safety systems for collision avoidance of road vehicles are a promising solution to the enormous human and monetary cost of road crashes. In this paper, we describe some new mathematical approaches for the construction of collision avoidance algorithms for human-driven vehicles. These algorithms exploit the sensing and communication capabilities of the vehicles to share information on the current state of the system, and based on this information check the safety of the human decisions and correct them when they would lead to a collision.
十字路口人类驾驶车辆协同避碰的数学框架
防止道路车辆碰撞的主动安全系统是解决道路碰撞造成的巨大人力和金钱损失的一个很有前途的解决方案。在本文中,我们描述了一些新的数学方法来构建人为驾驶车辆的避碰算法。这些算法利用车辆的感知和通信能力来共享有关系统当前状态的信息,并基于这些信息检查人类决策的安全性,并在可能导致碰撞时纠正这些决策。
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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