This study aims to analyze the mechanism of risky behavior at inter-green periods and to develop a "behavior risk estimation model" which reflects driver's perception for evaluating cycle length under under-saturated traffic conditions. The risky behaviors at the inter-green period are expressed by a disaggregate logit model for each movement (through, right-turn, left-turn) using field survey data. These models are explained by delay and various traffic conflicts, which are influenced by cycle lengths. The estimated parameters of these models quantitatively indicate that longer cycle length induces more risky behaviors at inter-green periods.
Behavior Risk Estimation Model for the Evaluation of Cycle Length Based on Driver's Perception at Signalized Intersection
Eighth International Conference on Applications of Advanced Technologies in Transportation Engineering (AATTE) ; 2004 ; Beijing, China
2004-05-13
Conference paper
Electronic Resource
English
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