TY - JOUR PY - 2011// TI - Lane-by-lane analysis of crash occurrence based on driver's lane-changing and car-following behavior JO - Journal of transportation safety and security A1 - Lee, Chris A1 - Park, Peter Y. A1 - Abdel-Aty, Mohamed Ahmed SP - 108 EP - 122 VL - 3 IS - 2 N2 - This study investigates the effects of the traffic flow parameters related to individual drivers' lane-changing and car-following behavior on the occurrence of sideswipe and rear-end crashes on freeways. A total of 184 sideswipe and 605 rear-end crashes on I-4 freeway in Orlando, Florida, with the loop detector data were used for the analysis. A set of the Bayesian logistic regression models were developed to estimate the likelihood of crashes in a specific lane compared to the adjacent lanes using the 5 min average and lane-by-lane traffic flow parameters. The analysis results showed that the significant traffic flow parameters affecting crash occurrence in a specific lane are distinctively different between sideswipe and rear-end crashes. The flow-related variables were significant in the sideswipe crash models whereas the speed-related variables were significant in the rear-end crash models. The results suggest that the lane-by-lane traffic flow parameters are considered as surrogate measures of lane-changing and car-following behavior that are associated with the occurrence of sideswipe and rear-end crashes. These parameters can potentially be used for real-time monitoring of the likelihood of crash occurrence by lane on instrumented freeways.

LA - SN - 1943-9962 UR - http://dx.doi.org/10.1080/19439962.2010.550390 ID - ref1 ER -