Accidents Data Analysis for the Real World Safety Enhancement

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Accidents Data Analysis for the Real World Safety Enhancement

Abe, Akiko / Kawaguchi, Kenji / Yoshimura, Mie / Ogawa, Shigeru / Sugahara, Tsutomu

To reduce real world fatal/serious/minor injuries, factors causing such injuries should be investigated in depth from wider perspectives. The aim of this paper is to clarify the factors based on Japanese accident database compiled by ITARDA (Institute for Traffic Accident Research and Data Analysis). ITARDA database has data for injury rates, seatbelt use rate of driver and age of driver involved in crashes, etc. by vehicle model.As a result of an elaborate statistical analysis, the most influential and essential factors on all injuries including fatality were quantitatively found to be seatbelt use rate and vehicle weight. The increase by 1% in seatbelt use rate makes injury rate decrease by 7%. The influence of vehicle weight is 1.7 times higher than seatbelt use rate. Multiple regression analysis on these two parameters was also conducted. The present analysis successfully predicted all injury rates by model per 10,000 units.Further, this study focused on passive safety performance. Passive safety performance evaluated in JNCAP was found to be more influential on fatal/serious injuries than vehicle weight. In order to reduce fatalities and injuries in the real world, seatbelt use rate and passive safety performance should be improved in consideration of vehicle weight.