| With the vigorous development of my country’s high-speed railway construction,highspeed railway has become one of the important means of transportation for people to travel between cities.While facilitating people’s travel,the problem of insufficient connection between high-speed rail stations and urban public transportation has become increasingly prominent.How to improve the connection service level between high-speed rail stations and urban public transportation and provide “door-to-door” transportation services for high-speed rail passengers is an urgent problem to be solved in the development of urban public transportation.Based on relevant research theories at home and abroad,this paper analyzes the demandresponsive bus connection system,combines the characteristics of passenger travel demand,and comprehensively considers the interests of the operating company and passengers,and proposes a dynamic route planning model for high-speed rail station demand response bus connection based on two-stage strategy.The specific research content is as follows:(1)The service mode and operating characteristics of the demand-response bus connection of high-speed rail stations are studied.Based on the demand response bus development theory,the demand response bus connection system architecture of high-speed rail stations was designed,and the detailed work flow of the passenger reservation system was developed.The demand-response bus connection service model is divided into six categories,and the factors affecting the operation of the bus connection system are analyzed from the four aspects of passenger demand,service area,station location,and vehicle characteristics,for the construction of the following model Lay the foundation.(2)Explore the travel demand characteristics of potential users of high-speed rail station travel groups and demand-responsive bus connections,investigate and analyze passengers’ ride preferences and travel time and space characteristics,and analyze the correlation of potential passengers’ ride attributes through SPSS software,extract the key factors that affect passengers’ willingness to ride.The results show that the punctuality,economy of operating vehicles,the education background of passengers,income level and the willingness to ride are the most significant.(3)Constructed a demand-response connection bus route planning model based on the passenger travel time window.The model construction is divided into two stages: the first stage uses the DBSCAN algorithm to cluster analysis of passenger dynamic travel demand points,and combines the k-means clustering idea to determine the specific location of the ride-sharing station;the second stage is operated by the enterprise The goal is to minimize the sum of cost and time penalty.A demand-response connection bus route planning model based on time window constraints is established in the simultaneous pickup mode,and the model is solved by genetic algorithm.(4)Case application research.Based on the traffic survey data of the high-speed railway station in Bijie City,the multi-chain chromosome genetic algorithm is used to solve the constructed path planning model,and the optimal vehicle scheduling and route operation plan is obtained.The plan includes 6 vehicle driving routes and 20 dynamic responses.At the station,the average vehicle seat utilization rate is 125.70%,and the average passenger satisfaction rate is 92.51%.The results show that the vehicle operation plan solved in this paper can maintain the operating company’s cost and passenger satisfaction at a good level,further verify the reliability and effectiveness of the model and algorithm,and provide a theoretical reference for the actual operation of high-speed rail station demand response bus connection. |
