Research On Dynamic Route Optimization Method Of High Speed Rail Express Bus Based On Multi Vehicle Service Model

With the rapid development of China’s high-speed rail,the number of residents who choose to travel by high-speed rail has increased dramatically.The huge passenger flow has brought new challenges to public transportation at high-speed rail stations.How to quickly and efficiently evacuate the passenger flow of high-speed rail stations and improve passengers’ riding experience is a question of high research value and practical significance.In order to meet the travel needs of high-speed rail passengers,Beijing Public Transport Group has launched high-speed rail express buses.However,in actual operation,route planning is mainly based on manual experience,which does not reflect the flexibility of high-speed rail express buses.This article fully draws on the operating characteristics of domestic and foreign demand-responsive buses,and conducts in-depth research on the dynamic routes of high-speed rail express buses.The specific contents are as follows:(1)Clarify the concept and characteristics of the high-speed rail express bus,and briefly describe the difference between the high-speed rail express bus dynamic line and the conventional bus line.Based on the development status of public transportation in Beijing,the necessity of developing high-speed rail express buses was put forward,and passengers’ willingness to travel were investigated,and the feasibility of dynamic routes for high-speed rail express buses was determined.Then,the key elements of dynamic routes were analyzed.Lay the foundation for the following creation of dynamic route design model.(2)With the objective function of minimizing the overall cost of passengers and enterprises,a dynamic route dispatching model for high-speed rail and express buses under multi-vehicle service is established.The model is divided into two stages based on the departure time.The first stage mainly responds to high-speed rail passengers and unresponsive passenger requests from the preceding vehicle to generate the initial driving route of the vehicle;the second stage dynamically responds to passengers’ temporary ride requests.And introduce a penalty function to express the impact on unresponsive passengers.(3)Design corresponding solution algorithms for the two-stage model.The first stage uses the improved adaptive genetic algorithm to quickly generate the initial driving route,and the second stage uses the fast non-dominated sorting genetic algorithm(NSGA-Ⅱ)to solve the multi-objective optimization problem.(4)Taking Beijing’s high-speed rail express bus operating line as an example,the model is verified and analyzed,and MATLAB is used to construct a solution algorithm to find the best driving plan of the vehicle,which illustrates the practical significance and application value of the research.