The Optimization Of Bus Network Based On GPS And Intelligent Card

As China's urbanization is getting faster,traffic congestion has become unneglected problem which can be an obstacle to urban development.Our country advocates giving priority to the development of public transport.Bus line network is the basic composition of public transport,the rational distribution of bus lines can improve the efficiency of public transport operations.As the information age,the GPS and IC card data as the basis of information is accurate,reliable which can get continuous data and real-time record of the passenger's credit card time and bus operation.It is the based data infrastructure and safeguard of bus network planning and the corresponding bus planning.In order to optimizing the bus network,the OD matrix of bus travel is studied by sorting the GPS and IC card data of public transit.Based on the OD matrix,this paper builds a model with the genetic algorithm and carries out the optimization method of public transportation network.Specific research work is as follows:1.The background of this paper is put forward,and the research on the present situation of domestic and foreign is analyzed from three aspects:the application of the GPS and IC card data of public transit,the calculation of OD and the optimization of public transportation network.The research content and technical route are also introduced.2.The GPS and IC card data are analyzed.For the OD's estimation,the raw data processing analysis.Through the matching algorithm,carry on the calculation of the boarding station and getting-off station,and calculate the bus travel area OD matrix.3.In the principle of optimization,the model selects the appropriate targets.And the operation method and steps of genetic algorithm to calculate the model of public transit network are studied.4.Through the data of public transportation GPS and IC card of Jiaojiang District of Taizhou City,the OD matrix of the bus is deduced and the optimization of bus network is carried out through the model,and the analysis is carried out according to the index evaluation.Finally,the reliability and validity of the model are optimized.