Research On Route And Stop Design Of Customized Bus

With the steady advancement of China’s urbanization process,the commuting needs of urban commuters have gradually expanded,and the tidal traffic caused by the imbalance of occupation and housing has put a severe test on urban public transportation services.Customized public transportation,as a demand-responsive emerging commuting method,provides passengers with a comfortable and convenient commuting experience,which not only helps to alleviate the willingness of ordinary passengers to purchase and use private cars,but also effectively attracts passengers who travel private cars.Bus transfer.Studying the site design and route planning of customized bus and optimizing the operation plan of customized bus are of great significance to reduce operating costs,improve the level of customized bus services,and increase the attractiveness of customized bus travel.This paper first introduces the concept and operation mode of customized public transportation,summarizes the characteristics of customized public transportation and its advantages over other transportation vehicles,and discusses the problems in customized public transportation operations,and determines the route and site planning of customized public transportation.The importance of customizing bus operations and development.This paper has conducted research on customized bus routes and site planning.The main tasks completed include:(1)Based on the actual operation of the customized bus,a customized bus station and route planning and optimization model considering passenger walking distance,passenger ride time,vehicle travel distance,number of vehicles and vehicle load capacity are established.(2)A site segmentation clustering algorithm based on passenger distribution and route orientation is proposed.Among them,the hierarchical clustering algorithm is improved,and a hierarchical clustering algorithm considering passenger distribution weight is proposed.At the same time,according to the current iterative route direction,the corresponding passengers of the station are finely divided,and the sub-sites of the corresponding lines are set for pick-up,and the line and station settings are optimized.(3)Improve the maximum and minimum ant colony algorithm.In this paper,the traditional maximum and minimum ant colony algorithm is used to solve the problem of demand-separable vehicle path planning,and the node access conditions of the vehicle are moderately relaxed.The feasibility of the post-relaxation algorithm is demonstrated by an example.Experiments on the set verify the effectiveness of the algorithm,indicating that the proposed calculation can be used to solve the problem of customized bus routes and site planning.(4)An example verification of the proposed line and site planning algorithm was carried out through the actual needs of customized public transportation in Tianjin Airport Work Area.This paper first analyzes the other modes of travel for passengers with customized bus demand by calling Gaode API data,and compares the cost,and explains the advantages of customized bus relative to other modes of travel.At the same time,the proposed algorithm is used to solve the demand data for the customized bus route and station setting in the Tianjin airport work area is proposed and compared with the existing scheme.