Research on Optimization of Bus Network in Emerging Metro Cities Considering the Randomness of Demand

In order to promote the coordinated development of subways and public transportation in emerging metro cities, optimization of the urban public transportation network is needed. Based on utility theory, this paperanalyzes the elastic characteristics of bus demand to distribute the line traffic under the elastic demand. By maximizing the bus connection system passenger flow and mimimizingpassenger travel cost and vehicle equipment cost as the optimization goal, we established the two-level planning model for the ground bus line adjustment. The MSA algorithm is used to solve the lower layer model, and the upper model is solved by PSO-X algorithm to obtain the optimal connection bus network. Finally, through simulation experiments we obtained the optimization scheme of the connected bus network of a subway station, which verifies the rationality and usability of the model and algorithm.