Analysis on Traffic Measures and Driver's Behavior Consciousness under the Heavy Rainfall Disaster

Abstract

The rainfall disaster occurred during a period between 9.11 and 9.12, 2000 caused severe damage to Nagoya city's traffic network and highlighted the problem about the way to give information and traffic management under the disaster. Therefore, in this paper, we aim to consider the way to information and traffic management to promote driver's appropriate behavior under the heavy rainfall disaster based on driver's experience data.Specifically, we develop departure behavior models for drivers under the disaster and apply the model to the analysis of road network situation by using GIS.