Disaggregate Propensity Study on Red Light Running Crashes Using Quasi-Induced Exposure Method
Publication: Journal of Transportation Engineering
Volume 135, Issue 3
Abstract
Red light running (RLR) is a serious traffic hazard at signalized intersections. A number of studies have been undertaken to understand the characteristics and prevalence of highway users involved in RLR crashes. However, most of the studies did not consider crash exposure systematically. To overcome the difficulties in obtaining direct exposure information, this study made use of the quasi-induced exposure method to identify the significant driver-vehicle characteristics that influence RLR crash propensity. This was done by developing models of relative exposure for intersections and relative crash involvement ratio for RLR crashes. Using crash data in Singapore from 1993 to 2002, a disaggregate analysis identified a number of significant factors contributing to RLR crash propensity for different driver age and gender groups, and vehicle types under various road environments. The results show that the problem related to RLR crashes is not just related to driver or vehicle or the road environment but a combination of these factors. Arising from the results of this study, potential countermeasures in reducing the high RLR crash risk for specific highway user cohorts are discussed and recommended.
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Acknowledgments
The writers wish to acknowledge Singapore Traffic Police for providing the crash data used in this study. They also thank the editor and two anonymous reviewers for their constructive comments and suggestions in improving the manuscript.
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Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 135 • Issue 3 • March 2009
Pages: 104 - 111
Copyright
© 2009 ASCE.
History
Received: Jun 20, 2006
Accepted: Nov 11, 2008
Published online: Mar 1, 2009
Published in print: Mar 2009
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