| With the rapid development of urban rail transit, the networked process in major cities has accelerated, the accessibility of urban rail network has been enhanced, and the diversity of passenger behavior has been increased. The spatial and temporal distribution of passenger flow is becoming more and more complicated. The coupling relationship between the passenger flow demand and transportation capacity is becoming closer. That makes a more rigid demand on the Organization of passenger flow and the train control system. Nevertheless, with the development of urban rail transit in China, the congestion of passenger flow, the flaw of safe operation and other problems are followed. In this paper, outburst passenger flow is made as the main line, and the research is launched from three aspects, which are the generation and influence, propagation law, and control measures.According to the definition and characteristics of the passenger flow, the composition and calculation formula of the outburst passenger flow are summed up, and the influence range of the burst passenger flow on the urban rail transit was defined. Study the passenger flow share ratio of urban railway network by non-Aggregation Logit model and the distribution of passenger flow in urban rail transit during the period of outburst passenger flow was also studied. Finally, taking sports events hosted by Beijing Wukesong stadium as an example, calculated and analyzed the total amount of the outburst passenger flow and the traffic flow share of the urban rail network.On the basis of urban rail transit network topology map analysis, using the theory of Cellular Automata, consider the spatial and temporal variation of the passenger flow, the station individual characteristics effect on the congestion propagation and directional of passenger congestion propagation, the CA model of rail transit network Traffic Congestion Propagation was made referred to the virus spreading dynamics theory, and a interception of Beijing urban rail transit line network was made as an example, combined with the actual investigation of the passenger flow data, simulated the outburst passenger flow occurred at the National Library Station, and through the comparison with the actual data, the validity of the model was verified. Finally, the influence of different types of initial congestion stations on the congestion propagation was studied, and the propagation laws of Beijing rail transit network were summarized.Aiming at the congestion problem caused by the outburst passenger flow, the control measures of passenger flow was studied on the layer of single line.A multi station collaborative passenger flow control model was established on the line layer on the basis of the mathematical programming method. Beijing Metro Line 6 was made as an example, numerical simulation was developed by using MATLAB, and two indexes of simulation results, the interval conveying capacity use rate and the station passenger flow density, were compared and analyzed with the actual data, in order to provide the theoretical basis for the choose of flow limit station, limit time and limit intensity, to enrich the theory and methods of urban rail transit passenger demand management, to provide quantitative reference for the development of flow limiting scheme in passenger transport organization. |
