In order to seek the distribution rule of station passenger flow and discuss research methods of public transport based on station, prediction model of station passenger flow volume was proposed with the fractal theory. Firstly, it used correlation dimension to establish a time series forecasting model, which analyzes the time distribution rule of station passenger flow with the phase space reconstruction theory. Finally, it took the stations of Route 255 in Changchun as example, which used the time series forecasting model to forecast the station passenger flow volume at moments. It is shown that the model obtains a less error and a greater application value.
Transit network design is an important part of urban transportation planning. The purpose of this paper is to design transit network considering transport capacity constraint. The aim of the proposed method is to maximize transport efficiency of network. Transport efficiency and routes impedance are defined based on the road restriction coefficient matrix. The k-shortest paths algorithm is applied to search efficiency route and the highest efficiency route is selected to be laid on the road network. Then, station OD matrix is updated considering station capacity. The model is illustrated with data from Siping city, China and results show that the transport efficiency of transit network is highest and meet the correlative design norms. Therefore, the model got a higher practical value.
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