Gap Acceptance Behavior Model for Non-signalized
Keywords:critical gap, gap acceptances behavior, logistic regression
AbstractThe paper proposes field studies that were performed to determine the critical gap on the multiple rural roadways Malaysia, at non-signalized T-intersection by using The Raff and Logic Method. Critical gap between passenger car and motorcycle have been determined. There are quite number of studied doing gap acceptance behavior model for passenger car however still few research on gap acceptance behavior model for motorcycle. Thus in this paper, logistic regression models were developed to predict the probability of accepting or rejecting a given gap for right turn rider from minor road considering a number of potential influence factors. Gap sizes, waiting time, speed, lane change and type of on-coming vehicles were found to be significant.
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