Motorcycle Crash Prediction Model For
Signalised Intersections
Author(s)
M.A. Quddus, H.C. Chin & J. Wang
Abstract
In this paper, a mathematical model to predict the occurrence of motorcycle
crashes at four-arm signalised intersections is established. Using data of
motorcycle crashes at fifty-two intersections in the Southwestern part of
Singapore over the period from 1992 to 1999, the relationship between the
likelihood of occurrence of these crashes and the various geometric elements
as well as traffic factors of the intersections is investigated. The Poisson
regression model and the negative binomial regression model were explored.
The negative binomial model was found to be more suitable. An evaluation
of model parameters showed that heavy approach traffic volumes, the
presence of uncontrolled left-turn lane, larger approach road width, existence
of surveillance camera,
Keywords
Related Book
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