Identification Method Of Public Transportation Network Bottleneck

ABSTRACT:With the process of the rapid development of urban rail transit network and the level of bus service, the passenger flow records are constantly refreshed by the stimulation of network effect and ticket price. Sharp increase in passenger flow causes all kinds of problems in the city public traffic, and especially the imbalance of passenger flow has led to the bottleneck problem in public transportation network. At present, with the rapid development of urbanization, the big cities develop very fast in our country. Some cities have established a relatively perfect normal ground public transportation network and their rail transit networks have also been initially formed. They make the request of solving public transportation network bottleneck become more and more urgent. This thesis is established based on this background, which makes a system research on the recognition method of public transportation network bottleneck be done badly.Based on the present conditions of urban public transportation network development and the advanced experience at home and abroad, a series of related work on public transportation network bottleneck is done in this paper.(1) The structure of concept system and the formation causes of transport bottlenecks are analyzed. The definition of urban transport bottlenecks, the classification and characteristics of the bottlenecks are put forward, which lays the foundation for the research on transport bottlenecks.(2) The consistency indexes of public transportation network are analyzed and designed. Two kinds of path bottlenecks recognition models based on the consistency indexes of public transportation network have been set and corresponding algorithm examples have been shown to explain the models.(3) The theory and description methods of normal ground public transportation network and urban rail transit network are discussed respectively, which is considered as the foundation of the study on urban public transportation network bottlenecks. Then public transportation lines bottlenecks recognition model based on the minimum cut-maximum flow and public transportation stations bottlenecks model based on the statistical characteristics of complex network are established. At the same time, identification standards of lines, stations, regions static bottlenecks of public transportation network are designed, and bottlenecks recognition process is confirmed. Corresponding algorithms are designed on the basis of above models, and algorithms are realized by using SQL database and C#development language.(4) From the view of passage flow, path dynamic bottlenecks recognition model based on the consistency of public transportation network and public transportation network dynamic bottlenecks recognition model based on the carrying capacity and transfer capacity are established. The identification standards of public transportation network dynamic bottlenecks and the grade of bottlenecks are designed, then the algorithm examples are given to explain the models.(5) Beijing public transportation network is calculated and analyzed as an example, and normal ground public transportation network bottlenecks are identified by using the above models according to basic data provided by Beijing bus groups.