Modeling left-turn crash occurrence at signalized intersections by conflicting patterns

Accident; Analysis and Prevention
Xuesong Wang, Mohamed Abdel-Aty

Abstract

In order to better understand the underlying crash mechanisms, left-turn crashes occurring at 197 four-legged signalized intersections over 6 years were classified into nine patterns based on vehicle maneuvers and then were assigned to intersection approaches. Crash frequency of each pattern was modeled at the approach level by mainly using Generalized Estimating Equations (GEE) with the Negative Binomial as the link function to account for the correlation among the crash data. GEE with a binomial logit link function was also applied for patterns with fewer crashes. The Cumulative Residuals test shows that, for correlated left-turn crashes, GEE models usually outperformed basic Negative Binomial models. The estimation results show that there are obvious differences in the factors that cause the occurrence of different left-turn collision patterns. For example, for each pattern, the traffic flows to which the colliding vehicles belong are identified to be significant. The width of the crossing distance (represented by the number of through lanes on the opposing approach of the left-turning traffic) is associated with more left-turn traffic colliding with opposing through traffic (Pattern 5), but with less left-turning traffic co...Continue Reading

References

Mar 14, 2002·Biometrics·D Y LinZ Ying

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Citations

Feb 29, 2016·Accident; Analysis and Prevention·Pan Lu, Denver Tolliver
Sep 2, 2008·Accident; Analysis and Prevention·Xuesong Wang, Mohamed Abdel-Aty
Nov 6, 2009·Accident; Analysis and Prevention·Md Mazharul HaqueHelai Huang
Nov 6, 2009·Accident; Analysis and Prevention·Feng GuoMohamed A Abdel-Aty
Nov 6, 2009·Accident; Analysis and Prevention·Nataliya V Malyshkina, Fred L Mannering
Dec 4, 2012·Accident; Analysis and Prevention·Yu-Chiun Chiou, Chiang Fu
Jan 28, 2015·Accident; Analysis and Prevention·Li ChenReid Ewing
May 29, 2014·Traffic Injury Prevention·Anthoni F Llau, Nasar U Ahmed
Nov 19, 2020·Traffic Injury Prevention·Zhao ZhangXianfeng Terry Yang

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