Mechanism Study On Driver Behavior In Intersections Group Based On Self-organization Theory

Intersections group has great relevance in its physical structure, and more likelyto present complexity and multifocal information as the development of informationtechnology. At microcosmic aspect, drivers equipping with concurrent operation andcomprehensive cognitive ability are the information handler and make decisions onone’s own at the intersections group system; At macroscopic aspect, drivers havesome certain self-organizing characteristic at the whole traffic flow for their behavior.This paper tries to do research on the inner mechanism of intersections group,analyzes its traffic flow self-organizing characteristic, and build section andintersection self-organizing characteristic models based on CTM. Besides, this paperanalyzes the make-up of urban intersections group information, grasps driverscognitive psychology and behavior characteristics under the intersections groupmulti-source information stimulation, builds drivers task agglomeration cognitiveactivity chain. By studying the mapping relation between information stream anddrivers behavior of intersections group under the self-organizing behavior pattern, wefind its development conditions and regularity; Use orderly classification Logisticregression analysis method to build drivers’ cognitive behavioral decision model, andput drivers’ cognitive psychology to the cognitive pattern analysis of intersectionsgroup travel information. Analyze the influence of drivers attributes(gender/educationbackground/age/driving age) traffic information source cognitive preference/travelerinformation demand/Travel information trust on the change frequency of drivers’travel decision, and eventually verify the acceptability of the model by likelihoodratio test and goodness-of-fit test.