| With the construction and development of urban rail transit,it is becoming the main force of the public transportation system in many large cities in China.Bus is facing the transition from the backbone of urban passenger transportation to the role of connection and assistance.During the transformation period of the transportation structure,the subway and the bus need to work closely together to provide a convenient public transportation service.In recent years,the access to rail transit has become the focus of public transport development.This paper starts with researching on the connection technology of urban rail transit and ground bus,using cluster analysis to propose different types of stations,after that the article considers two direction which are the station connection optimization and line connection optimization and then settles down the optimization model of the connection plan of the bus interchange station and the one-time transfer bus maximum coverage model.Finally,the feasibility and effectiveness of the model are verified through the simulation model and specific calculation examples.Specifically,the main work and conclusions of this article are as follows:(1)Based on the questionnaire survey,the problems exist in the connection between urban rail transit and feeder bus are analyzed.According to the analysis of relationship between the allocation of bus resources and the spatial and temporal characteristics of station passengers flow,the station is clustered into different types.In line with different regions,different types,the difference of bus connection level and the connection problems are analyzed,then the method of improving the connection level is proposed according to the clustering research.(2)An optimized model of connecting bus stops around rail transit stations is established.By adjusting the location of feeder bus stops around rail transit stations to balance the passenger flow of each entrance,it finally achieves the effect of reducing the overall congestion of the station.A genetic algorithm is designed to solve the model and a calculation example is constructed to quantitatively analyze the specific factors that affect the optimization effect of the model.The conclusion tells that for every 10%increase in the proportion of passenger interchanges at rail transit stations,the average utilization rate of entrances and exits increases by an average of 23.32 after optimization;for each 400 passengers increase in the intensity of bus passengers flow,the average utilization level of entrances and exits increases by an average of 25.02 after optimization.(3)Software Anylogic is used to establish a simulation model,which aims to evaluate the optimization effect of the optimization model of the feeder bus stop plan.The simulation results show that,the optimization model of the connecting bus stop reallocation around the rail transit station has a significant effect on improving the service level of the subway station’s passage and security waiting area,it also achieves the effect of shortening the overall passengers entry time.Using the parameters of this article,after optimization,the passenger density in the entrance and exit passages and security screening areas are reduced by 28.98% and 22.16%,the overall passengers waiting time is reduced by 19.25%.(4)The maximum coverage model of the one-time transfer of feeder buses which focus on the maximum bus transfer efficiency and the minimum cost of passengers is established.It achieves the comprehensive optimization of feeder bus routes and departure schedules.Through a numerical example,the paper analyzes the influence of fleet size restrictions on the route and operation plan of the feeder bus lines.Finally,from the perspective of operators,passengers and comprehensive discussion,suitable network layout and operation schemes are discussed respectively.The results show that when a certain number of connecting buses in the planned area is restricted,with the increase in the size of the available fleet,the departure frequency of each line will increase,and the corresponding car load rate will gradually decrease.Using the parameters of this article,for every 2 buses adding in the available fleet,the average passengers fee will decrease by 5.23%,the operators fee will increase by 22.19%,and the average travel time per capita will decrease by 11.26%. |