  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.
