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

TL;DR

This paper reviews methodologies for predicting red light running behavior and evaluates technology-based countermeasures to enhance safety at signalized intersections.

Contribution

It provides a comprehensive synthesis of prediction models and countermeasures, guiding future research and practical implementation in traffic safety.

Findings

Summarizes key prediction techniques for red light running behavior.

Evaluates effectiveness of various technology-based safety countermeasures.

Offers systematic guidance for researchers and practitioners.

Abstract

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.