Studies On Railway Terminal Dynamic Transfer Efficiency And Railway Traffic Flow Analysis

With rapid expansion and urbanization, transportation problems is becoming more and more serious in social and economical development of Large and medium cities. In the advantages of its sustainable development, rail transport is recognized as the best strategy for urban transport problems in most contries. In China plenty of rails transport planning and construction projects starts in recent years, and related theory and applied research are eagerly demanded.Transportation terminals are the key points in rail transport system. Passengers transfer to different travel mode and different rail lines in railway terminals. Transportation terminals bear the convergence of different modes of transportation to ensure the smooth transfer of Trip transfer and other important features of the region's passenger transport network. Accordingly, this paper mainly includes the following four aspects:At first, this paper discusses the definition of"transfer efficiency", and then analyzes the factors that affect transfer efficiency. Through multiple linear regression and neural network method, the impact mechanism of transfer efficiency is quantitatively studied. A neural network model for transfer mechanism analysis is established and calibrated.Based on mechanism analysis, this paper establishes a discrete simulation model for rail passenger behavior analysis. This model describes the process of interaction between passengers and various types of facilities in railway terminals. And through micro-simulation results, macro-analysis, this model can evaluate service level of facilities in railway terminals.Then this paper constructes dynamic simulation model of Passenger flow in rail transport network. The model reflects route choice behavior of rail passengers considering terminal transfer efficiency. Terminal transfer efficiency on passenger flow in rail network is estimated by the model.Finally, application samples are brought up for quantitative evaluation of efficiency of hardware improvement and software optimization in railway terminals. The quantitative evaluation can provide decision-making reference for terminal transformation, and avoid investment blindness and subjectivity. Application of network dynamic analysis model brings quantitative evaluation of network tranvel efficiency results, which provide technical support for rail travel mode attractiveness upgrade.