@article{ref1,
title="Lane-by-lane analysis of crash occurrence based on driver's lane-changing and car-following behavior",
journal="Journal of transportation safety and security",
year="2011",
author="Lee, Chris and Park, Peter Y. and Abdel-Aty, Mohamed Ahmed",
volume="3",
number="2",
pages="108-122",
abstract="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.<p />",
language="",
issn="1943-9962",
doi="10.1080/19439962.2010.550390",
url="http://dx.doi.org/10.1080/19439962.2010.550390"
}