Research On Optimization Method Of Feeder Bus Lines Scheme Design For Urban Rail Transit Stations

With the accelerating urbanization process,many large and medium-sized cities have proposed to build an efficient and convenient integrated public transportation system with rail transit as the backbone to solve the increasingly serious traffic problems.However,due to the fixed rail transit lines and limited coverage,the efficiency of the "last mile" connection has become one of the key factors affecting the efficiency of urban public transportation.By studying the operation optimization method of rail transit feeder bus lines based on passengers’ travel choice behavior and systematically optimizing the feeder bus operation scheme,we can effectively improve passengers’ travel experience and bus companies’ revenue.Based on the existing rail transit lines,this paper systematically optimizes the feeder bus route scheme,frequency,and fare,taking into account the impact of fare and bus departure frequency on passengers’ travel behavior.The specific contents are as follows.(1)Summarize the relevant theories and design the feeder bus demand survey.By introducing the theoretical approach of feeder buses and comparing the characteristics of different transportation modes,we summarize the functional positioning and deployment plan of feeder buses;we analyze the travel demand and characteristics of passenger groups with the help of a questionnaire.Through the survey,we learned that passengers who choose the feeder bus have stochastic travel demand,attach great importance to the travel time,and are willing to pay higher fares for better bus service.The questionnaire survey obtained passengers’ attitudes toward feeder bus segmentation and the range of acceptable feeder bus fares,which provided important references for the later model development.(2)To build the model for the optimization of feeder bus route design based on deterministic passenger demand.From the perspective of passengers,bus companies,and the government,the corresponding generalized cost function is established based on the passenger travel process.The Logit model is used for passenger flow allocation to construct the optimization model of the feeder bus route design scheme based on different subsidy mechanisms.And the genetic-simulated annealing algorithm is designed to solve the model.The genetic-simulated annealing algorithm is verified to have good convergence and solving effect by comparison.(3)The optimization model of feeder bus route design is constructed based on stochastic passenger demand.Due to the diversity of passenger travel purposes,the passenger flow distribution is stochastic.In this paper,we further consider the stochastic passenger demand and build an optimization model based on the chance constraint for the design of feeder bus routes.The case results show that the solution obtained from the chance constraint model has better stability and robustness for the stochastic passenger demand.This study has some implications for enriching and developing the theory of feeder bus design optimization,and also provides relevant and useful references for the design optimization of feeder bus services for rail transportation.34 figures,29 tables and 77 references exist in this thesis.