Abstract
This paper presents new models to estimate the potential of rear-end and sideswipe crashes for motorcycles moving in motorcycle-dominated traffic conditions on urban roads based on discrete choice theory and the traffic conflict technique. The proposed models were validated using vehicles' trajectories data collected from an urban road in the city of Danang in Vietnam. The results showed that the models satisfactorily capture the movement characteristics of motorcycles in a motorcycle-dominated traffic environment and provide good estimates of rear-end and sideswipe crash risk for motorcyclists. They therefore have the potential for inclusion in the International Road Assessment Programme (iRAP) star rating system.
Highlights
Motorcyclists’ safety is a major concern in a number of cities worldwide, including most Southeast Asian cities where motorcycles are the predominant mode of transport
A new methodology to estimate rear-end and sideswipe crash risk for motorcyclists in motorcycle-dominated traffic conditions on urban roads using vehicle trajectory data in real time was presented in this paper
The developed models were verified using data collected from an urban road segment in the city of Danang in Vietnam
Summary
Motorcyclists’ safety is a major concern in a number of cities worldwide, including most Southeast Asian cities where motorcycles are the predominant mode of transport. The number of passenger cars in this region has increased in recent years due to economic growth, the motorcycle is still the dominant mode of urban transport because of its affordability and flexibility in terms of movement and parking. In Indonesia, it has been reported that motorcycles account for 78·3% of the total vehicle population and 75% of fatalities in traffic crashes involved motorcyclists (Indriastuti and Sulistio, 2010). This issue has been reported in Taiwan (Ming et al, 2013) and Malaysia (Sarani et al, 2011)
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
