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Analysis of Old Driver's Accident Influencing Factors Considering Human Factors  

Kim, Tae-Ho (Expressway & Transportation Research Institute, Korea Expressway Corporation)
Kim, Eun-Kyung (Graduate School of Urban Studies, Hanyang University)
Rho, Jeong-Hyun (Graduate School of Urban Studies, Hanyang University)
Publication Information
Journal of the Korean Society of Safety / v.24, no.1, 2009 , pp. 69-77 More about this Journal
Abstract
This paper reports the aging driver traffic accident severity modeling results. For the modeling, Poisson regression approach is applied using the data set obtained from the Korea Transportation Safety Authority's simulator-based driver aptitude test results. The test items include the estimations of moving objects' speed and stopping distance, drivers' multi-task capability, and kinetic depth perception and so on. The resulting model with the response variable of equivalent property damage only(EPDO) indicated that EPDO is significantly influenced by moving objects' speed estimation and drivers' multi-task capabilities. More interestingly, a comparison with the younger driver model revealed that the degradation of such capabilities may result in severer crashes for older drivers as suggested by the higher estimated parameters for the older driver model.
Keywords
aging driver; human factors; accident severity; poisson regression analysis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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