Evaluation of cooperative roadside and vehicle-based data collection for assessing intersection conflicts

Ching-yao Chan, BCnedicte Bougler
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引用次数: 34

Abstract

Intersection collisions represent a significant portion of highway accidents. Recent research and development activities have suggested potential solutions to address this critical safety issue by supplying timely alerts to drivers of imminent collisions. These intersection decision support systems utilized sensor, communication and computer technologies to help drivers recognize risky conditions, thus actions can be taken to avoid collisions. A cooperative vehicle-infrastructure concept, built upon such premises, seek to combine the information available from vehicles and roadside in a synergistic framework so that a flexible yet sensible system can be deployed in the near future. The work presented in this paper represents an experimental effort conducted at a real-world intersection, by the use of an instrumented vehicle and roadside traffic monitoring, to explore technical challenges encountered in a vehicle-infrastructure integration approach.
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基于路边和车辆的协同数据采集评估交叉口冲突
交叉口碰撞是公路交通事故的重要组成部分。最近的研究和开发活动提出了解决这一关键安全问题的潜在解决方案,即向即将发生碰撞的驾驶员提供及时警报。这些十字路口决策支持系统利用传感器、通信和计算机技术来帮助驾驶员识别危险状况,从而采取行动避免碰撞。建立在这种前提下的合作车辆基础设施概念,寻求将来自车辆和路边的信息结合在一个协同框架中,以便在不久的将来部署一个灵活而明智的系统。本文介绍的工作代表了在现实世界的十字路口进行的一项实验性工作,通过使用仪表车辆和路边交通监控,探索车辆-基础设施集成方法中遇到的技术挑战。
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