A Review on Drivers Red Light Running Behavior Predictions and Technology Based Countermeasures
It addresses the growing road safety issue of red light running by summarizing existing studies, but it is incremental as it reviews rather than introduces new methods.
This paper provides a comprehensive review of methodologies for predicting red light running behavior and technology-based countermeasures at signalized intersections, aiming to guide researchers and stakeholders in improving road safety.
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.