Research On Urban Rail Transit Passenger Flow Assignment Model And Algorithm

As the Urban continuous development of rail transit infrastructure, urban rail transit has shared an important part of the city ground public transportation. The research of the passenger route choice behavior under multiple paths during traveling as well as the passenger flow distribution, has important theoretical value and practical significance.Around the problem of rail transit passenger flow assignment, the paper study as following:Firstly, statistic and analysis the survey data of Beijing rail transit. Obtain the main factors that impact on passenger route choice, and general rule for path selection of different types of passengers travel in different conditionsSecondly, considering the quantitative factors that influence the route choice behavior, improved the cost model by adding transfer time. Then, get the passenger route choice probability based on Logit model. Meanwhile, a modified Dijkstra algorithm and the depth first traversal algorithm for the model was given while searching effective routes in this paper. At last, an example is given to validate effectiveness of the model and algorithm.Finally, taking the issue of passenger comfort, the path cost should add the qualitative factor (congestion costs). Then, based on Fisk's stochastic user equilibrium assignment model, use the MSA and the MSWA (successively weighted average algorithm) to solve the model. Examples are shown to compare the effect of two algorithms on convergence.