A survey on driver behavior detection techniques for intelligent transportation systems

Rishu Chhabra, S. Verma, C. Krishna
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引用次数: 73

Abstract

Driver behavior is an essential component of the driver-vehicle-environment system and plays a key role in the design of the transport and vehicle systems in order to improve the efficiency and safety of human agility. The most important factors that influence driver behavior are the environment, vehicle and the driver itself. Experience, distraction, fatigue, drowsiness etc. are so me of the other factors that have an impact on driver behavior. Improper driving behavior is the leading cause of the accidents and thus, detection of driver behavior is an emerging area of research interest. This paper discusses the various techniques used for monitoring driver behavior and also classifies them into real-time and non-real time techniques. A comparative analysis was performed on the basis of advantages, disadvantages and methodology applied by various techniques for detecting driver's behavior for Intelligent Transportation Systems (ITS).
智能交通系统驾驶员行为检测技术综述
驾驶员行为是人-车-环境系统的重要组成部分,在交通系统和车辆系统的设计中起着关键作用,以提高人类敏捷性的效率和安全性。影响驾驶员行为的最重要因素是环境、车辆和驾驶员本身。经验、分心、疲劳、困倦等都是影响司机行为的其他因素。不当驾驶行为是导致交通事故的主要原因,因此,对驾驶员行为的检测是一个新兴的研究领域。本文讨论了用于监控驾驶员行为的各种技术,并将其分为实时技术和非实时技术。在智能交通系统(ITS)中检测驾驶员行为的各种技术的优缺点和方法的基础上进行了比较分析。
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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