论文标题

对驾驶员的审查红灯跑步行为预测和基于技术的对策

A Review on Drivers Red Light Running Behavior Predictions and Technology Based Countermeasures

论文作者

Komol, Md Mostafizur Rahman, Pinnow, Jack, Elhenawy, Mohammed, Yasmin, Shamsunnahar, Masoud, Mahmoud, Glaser, Sebastien, Rakotonirainy, Andry

论文摘要

在信号交叉口运行的红灯是全球越来越多的道路安全问题,导致高级智能运输技术和对策的快速发展。但是,现有的研究尚未总结并介绍这些基于技术的创新对提高安全性的影响。本文代表了对红光跑步行为预测方法和基于技术的对策的全面综述。具体而言,这项研究的主要重点是在信号交叉点上针对红光跑步并停止行为的两种文献进行全面审查(1)研究,重点是建模和预测红灯运行和停止和GO相关的驱动程序行为以及(2)研究,重点是针对不同技术对抗的有效性,这些对抗的有效性应对这种不安全行为。该研究提供了一个系统的指南,以帮助研究人员和利益相关者了解如何最好地识别红灯跑步,停止并进行相关的驾驶行为,然后实施对策,以应对这种风险行为并提高相关的安全性。

Red light running at signalised intersections is a growing road safety issue worldwide, leading to the rapid development of advanced intelligent transportation technologies and countermeasures. However, existing studies have yet to summarise and present the effect of these technology based innovations in improving safety. This paper represents a comprehensive review of red light running behaviour prediction methodologies and technology-based countermeasures. Specifically, the major focus of this study is to provide a comprehensive review on two streams of literature targeting red light running and stop and go behaviour at signalised intersection (1) studies focusing on modelling and predicting the red light running and stop and go related driver behaviour and (2) studies focusing on the effectiveness of different technology based countermeasures which combat such unsafe behaviour. The study provides a systematic guide to assist researchers and stakeholders in understanding how to best identify red light running and stop and go associated driving behaviour and subsequently implement countermeasures to combat such risky behaviour and improve the associated safety.

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