The invention relates to a
service design method oriented to public traffic guidance, and the method employs a MaaS platform to cooperatively optimize the operation plans of a subway
system and a public transportation
system, builds a dual-target mixed integer nonlinear
programming model on the basis of considering passenger paths, fusing non-public traffic travel
modes, and considering the influence of congestion charging, and achieves the optimization of the operation plans of the subway
system and the public transportation system. And the non-public traffic sharing rate is used as a part of an optimization target. Furthermore, in order to solve the model, according to the structural characteristics of the model, the original problem is decomposed into two small-scale sub-problems, and a
hybrid algorithm based on an adaptive large
neighborhood search method and GUROBI is designed, so that the solving efficiency in large-scale cases is remarkably improved, the overall service level and operation efficiency of the
public transport system can be improved, and the method is suitable for popularization and application.
Sustainable development of a
traffic system is promoted, the defects of high cost,
high energy consumption and low efficiency in a traditional independent
operation mode are overcome, and efficient and high-quality travel service is provided for travelers.