Development of non-crash-based safety estimation approaches has drawn considerable research interest, and the application of extreme value theory is one of them. This study proposes the use of extreme value theory based peak over threshold (POT) approach for road safety estimation and compares the POT with the crash-based negative binomial regression approach. The traffic data is from videos recorded at 29 directional segments with time duration of approximately 3 h each. The results show that the best fitted model comes from regression model with R2of 0.65, in which the covariate is return levels estimated from POT approach. Meanwhile, the POT estimated crashes also have relatively high R2value but with large variances. Both of these imply that POT estimations from short observation time carry useful safety information. Moreover, the POT estimated return levels can be employed as a covariate for building better regression models.

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Keywords crash, negative binomial regression, peak over threshold, return level
Persistent URL dx.doi.org/10.1080/19439962.2014.904029
Journal Journal of Transportation Safety and Security
Citation
Zheng, L. (Lai), Ismail, K, & Meng, X. (Xianghai). (2015). Evaluation of Peak Over Threshold Approach for Road Safety Estimation. Journal of Transportation Safety and Security, 7(1), 76–90. doi:10.1080/19439962.2014.904029