Using accident observations to evaluate rear end accident risk at four-legged signalized intersections.

Auteur(s)
Wang, Y. Ieda, H. Saito, K. & Takahashi, K.
Jaar
Samenvatting

Based on the microscopic analysis of the vehicle movements before a rear end collision, the occurrence of rear end accidents is considered to have two indispensable premises in this study - one is the encountering of an obstacle vehicle, and the other is that the forthcoming vehicle driver failed to avoid the collision. Rear end accident risk is expressed as the product of the probability of the leading vehicle's deceleration and the probability of the following driver failed to respond effectively. A negative binomial regression model for estimating rear end accident risk by using accident observations is developed, and several factors were found to affect rear end accident risk significantly. (A)

Publicatie aanvragen

14 + 2 =
Los deze eenvoudige rekenoefening op en voer het resultaat in. Bijvoorbeeld: voor 1+3, voer 4 in.

Publicatie

Bibliotheeknummer
C 17528 (In: C 17522) /81 /82 /83 / ITRD E105208
Uitgave

In: Proceedings of the 8th world conference on transport research WCTR, Antwerp, July 12-17, 1998, Volume 2: planning, operation, management and control, p. 123-135, 12 ref.

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