The Research On Optimazation Of Bus Network In City

Urban public transport in cities is an important foundation for the city, the overall development of the city an indispensable material conditions and basic industries, urban public transit network is to improve the public transport system service levels, improve the competitiveness of the basis of public transportation, at home and abroad in this article public transportation network to optimize the research history and current situation analysis and evaluation, the systematic analysis of the bus lines to optimize the methods, the use of AHP in urban public transportation network analysis of the status quo, while the goal-line optimization and constraints study the establishment of public transportation network optimization model and optimization method, combined with the needs of specific projects, for both public transportation network to optimize and adjust.In this paper, the level of public transportation network of disordered function of the status quo, in the public transport demand forecast, based on a comprehensive analysis of the layout of the structure of urban land use, traffic corridors, road networks and other elements of the structure, the use of AHP for the status quo structure of public transport and public transport hub in line network-level analysis, combined with line optimization objectives and constraints, both lines of analysis and evaluation, and then the optimization of urban public transportation network, from customer service to enhance the level and perspective of the interests of public enterprises, the establishment of solving the optimization model, the use of genetic algorithm, the establishment of a new bus line, this line of analysis of the structure and the status quo prior to the level of a combination of bus routes, improve and optimize the public transportation network.Finally, the article for use by the public transportation network to optimize the program in line with the existing public transport network of the adjustment method proposed to Shaoyang City as an example of relevant research.