Research on Bus Line Length Model for Small-Middle City Based on Maximum Profit Traffic and Transportation Engineering College,Tongji University

This paper discusses the optimal lines for the bus passenger to select the journey for the least time consumption and the least fares, and constructs a model of multiple objects planning for bus lines selection with the shortest distance calculation method of Dijkstra to introduce the 0-1 variable and the preferential coefficient λ1,λ2(λ1+λ2=1,λ1,λ2≥0) for the needed time and fare.

This paper proposes a forecasting method for traffic volume of bus line by applying the BP neural network, describes the structure of the BP neural network and its algorithm, analyses the forecasting method using the BP neural network.

By analyzing the passenger capacity and the transportation cost of the new public traffic line in public traffic line network,and forecasting on economic efficiency of the new public traffic line bring to the region public traffic line network,the economic efficiency mathematical model of the new public traffic line in public traffic line network can be established.

From the traveler point of view,the paper focuses on making evaluation system for the service level of public transit route,including both single and multi evalua- tion systems,with which to evaluate,compare and analyze two main public transit routes in the city Changchun.

With data of bus route 408 of Dalian city,the effectiveness of the model and the algorithm is verified.