Study On The Passenger Flow Of Large Transportation Hub Based On The Behavior Of Distribution Passenger

Comprehensive development of various of transportation mode has been a newdevelopment mode of urban traffic in recent years. The hub part of transit transfer,sending and receiving and so on are attracting more attention: passengers wantgetting in and out of passenger terminal comfortably and fast, while government wanthigher distribution efficiency to improve timeliness and then the level of city traffic.Large passenger traffic hinge is an important part of integrated transportationsystem. As the urban population increased, travel demands increase, distributionefficiency, transference and quality of service unable meet the demands. Efficient andcomfortable collection and distribution are major issues to be addressed. Studying thedistribution behavior of the passengers, reasonable organizing passenger line are themost realistic methods to solve chaos and congestion.This paper analyzed collection and distribution characteristics of passenger flowbased on connotation limits, classify and function of large passenger traffic hinge. Itdiscussed the main problems of passenger collection and distribution. A solution ofpassenger line optimized was developed. It analyzed passenger flow characteristicsfrom nature of collection and distribution, pleiotropy, miscibility and definiteness.Distribution behavior of the passengers and the factors of choosingdifferent routes were the key points of improving distribution efficiency. EPB wasestablished based on behavioral psychology to analyze the relationship amongtraffic behavior, environment and mentality, confirm the factors are timeliness,security and comfort.Because of the particularity, quantitated all of those to begeneralized time cost as the basis of choosing routs. Made layout structure ofpassenger terminal be network abstract, determined the generalized time cost betweensection and node respectively.How to design passenger line on the point of view of whole system to minimizetotal cost was the core of the problem. At last a method to optimize passenger line wasestablished based on generalized time cost. Reassigned the flow by All orNone algorithm to determine passenger line organization. Suggestions ofpassenger line organization were developed taking ChongQing Bei Station for anexample.