Research On Some Pivotal Problem About Public Transit System Planning

Public transportation plays an important role in the dynamic of many cities. I t is widely recognized as a means to reduce traffic congestion, to imporove urban environment conditions and to contribute to the social inclusion of the inbabitants.The major contents and research progress are as follows:(1)By analysis the change of passenger capacity and influencing factor of passenger capacity between 1996 and 2005 in Tianjin, the paper established passenger capacity prediction model by using multivariate regession analyse and gray model.And these model were also simulated and proofed with history data.In order to improve the forecasting accuracy,it applies residual error analyse.(2)With the operation dispatching system as a research background, this paper suggests two mathematic models based on the quantity of the passengers. One is a static model, which plans the same interval in the whole operation period. The other model is a dynamic one which can plan the different interval in different operation period. The purpose of the models is to make optimization of bus route network.(3)The paper first explains the concepts of the driver scheduling problem. Combined with the development of the driver scheduling problem, some methods of the problem are introduced. The techniques used are based on integer programming models coupled with heuristics. The former produces good feasible solutions, and the latter improves the quality of the final solution. And at last, an example is given to prove the feasible of the approach. The result concludes that the approach improves crew and vehicle efficiency.(4)Take regional network in total weight most greatly as goal setup area public transportation timetable model. This paper has defined the weighting factor, and has given the node and line's weighting factor formula separately, then the multianalysis public transportation stand's capacity question, has based on this established the corresponding mathematical model to solve the public transportation region dispatcher who transfers based on the biggest synchronization to optimize the question. Uses the heuristic algorithm to the model separately in the consideration weight and did not consider that the weight in the situation carries on the solution separately, confirmed this model through the contrast effectively to realize simultaneously arrived in the network to transfer the public transportation total weight number biggest goal, thus enabled the passenger who in the network needed to transfer to be possible, in the shortest standby period intrinsic transferred to change to another line from a line.(5)This paper studies the contents and methods of the bus arrival time prediction, and establishes the bus arrival time prediction model.This article divides the travel time into three parts: free travel time, road intersection delay time, stop delay time, using the combration of Autoregressive and Moving Average models, on the Webster road intersection delay model and the delay duing to passengers on or getting out model respectively to forcast the travel time, finally carries on compiles.