Fuzzy reasoning model for traffic safety countermeasure planning

Abstract

The discussion is required in actual traffic safety countermeasure planning with empirical knowledge of experts and the field survey results. The decision of experts are recommended according to many findings based on the facts with fuzzy information. Therefore, fuzzy reasoning model for decision making is proposed in the study to classify the cause of traffic accidents in intersections, direct the traffic safety countermeasures and propose the individual traffic safety countermeasures. Since the real examples of traffic safety countermeasures are observed, the proper formulation of intelligent information processing with fuzzy reasoning can be proposed.