Research of Intelligent Model of Optimal Route for the Urban Public Transport

With the vigorous development of economics, urban transportation construction is continuing to expand and the need for traffic travel is increasing. The key solutions to relieve the over-crowdedness of urban traffic reside in the following aspects: to give priority to the development of public transport, to scientifically organize the public transportation resources for operations, to maximize the advantages of public transport, and to improve the overall efficiency and service levels of the public transport system. In this paper we first discuss the state-of-arts of researches on domestic and international urban public transport systems. Based on our discussion, we analyze the urban public transport network architecture from aspects such as the basic components of public transport network, and the characteristics of public transport network, etc. In addition, we judge comprehensively according to the preference for the passengers travel choices, transit network model characteristics and time cost. Combined with the survey of Shanghai residents on travel habits, we verified and analyzed the constraints of passengers travel decision-making factors. Through comparative analysis, based on the ISM analysis method we can effectively analyze the psychology and the principle of optimal choice of passenger travel, and by the algorithm of proposed model, this paper provides ideas for the shift of transit mode of passengers travel route from a traditional mode to a multi-modal one.