Optimization Of Bus Line Network Based On Smart Card Data

Currently,the speed of road construction cannot keep up with the growth of cars,and urban traffic congestion is increasing.Giving priority to the development of public transportation such as rail transit and buses has become an important choice for alleviating urban congestion and building green and environmentally friendly cities.Compared with conventional buses,rail transit is faster,has a larger traffic volume,and has a higher punctuality rate,which is favored by more and more large cities.Building public transportation integration of buses and rail transit is the key to effectively allocating urban public transportation resources and improving urban public transportation service levels.In the early days of the opening of rail transit lines,rail transit will have a huge impact on the original busses in the region,and there are problems such as the excess capacity of conventional buses and the inconvenience of connecting buses.Therefore,under the background of the initial opening of the subway line,it is of great significance to study the optimization and adjustment of conventional buses.Based on the smart card data of Shenzhen,this paper designs a bus route generation algorithm,and establishes a binomial logit model based on the bus route to analyze the residents’ choice of public transportation mode.Then,the calibrated binomial logit model is used to predict the changes in residents’ choices of public transit travel at the initial stage of subway line opening,and to count the changes in passenger flow of conventional bus network.Finally,the spatial topological relationship between conventional bus lines and subway lines is classified,and combined with the changes in passenger flow of conventional bus line networks,with the lowest total travel cost of residents and the lowest operating cost of conventional buses as the optimization goals,the corresponding conventional bus optimization adjustments are proposed.Strategy.Taking Shenzhen Line 8 as an example,the routine bus line adjustment in Yantian District,Shenzhen was carried out.The results of the study show that travel distance plays a crucial role in residents’ choice of transit travel.As travel distance increases,residents tend to choose subway.When the travel distances are equal,compared with conventional buses,if the number of subway transfers is less,the travel time is less,and the shorter the walking distance,the more residents tend to choose the subway,especially the number of transfers has the greatest impact However,whether traveling during peak hours does not have a sufficiently large impact on residents’ choice of public transportation.In the initial period of subway line opening,by updating the residents’ bus routes,the transfer behavior of residents in public transportation modes can be effectively observed,combined with the changes in passenger flow of the conventional bus line network,which can effectively eliminate the space that only analyzes the conventional bus lines and subway lines.There is a problem of too strong subjectivity in the topological relationship.In this paper,by adding 6 connecting lines,deleting 2 lines,and shortening some lines,the total travel time of residents and the operating cost of conventional buses are effectively reduced.