An Integrated Optimization Method For Ticket Price And Operation Frequency Of Full-length And Short-turn Routing In Urban Rail Lines

Due to the continuous acceleration of urbanization,the travel demand of urban residents is increasing,and the amount of travel undertaken by urban rail transit is increasing year by year.The different travel choices of residents make the travel passenger flow in urban rail transit lines present the characteristics of uneven space-time distribution,which brings some pressure to the operation and organization work of operating enterprises.Therefore,how to fully relieve the pressure of passenger flow in peak hours and improve the utilization rate of train transportation capacity is the research focus of this thesis.This thesis considers the influence of train operating frequency and ticket price on the passenger flow distribution of urban rail transit line and proposes a comprehensive optimization method of the operation frequency and ticket price of trains in Full-length and Short-turn routing of urban rail lines.The main contributions of this thesis are as follows:(1)This thesis analyzes the characteristics of passenger flow on urban rail transit lines,and analyzes the influence of variation of train operation frequency and ticket price on the distribution of passenger flow on the basis of the trains in Full-length and Short-turn routing,so as to provide theoretical support for the comprehensive optimization of train operation frequency and ticket price.This thesis analyzes the passenger flow allocation theory involved in the comprehensive optimization problem,and describes the multi-time passenger flow allocation problem from three aspects: passenger travel cost,passenger elastic travel demand and passenger choice behavior.(2)Based on the analysis of passenger travel behavior,a two-layer optimization model is constructed based on the comprehensive optimization method proposed in this thesis.The upper model is the comprehensive optimization model of operation frequency and ticket price of Full-length and Short-turn routing trains,which is used to determine the operation frequency and ticket price of urban rail transit trains.The lower model is the passenger flow allocation model.It is used to calculate the passenger flow distribution results under train operating frequency and ticket price in the upper decision-making process.The limitation of train operating number and upper and lower limits of ticket price are taken as model constraints,and the optimization goal is to maximize the operating benefit of urban rail transit enterprises.Based on the characteristics of the integrated optimization model,the genetic algorithm of nested Logit random user flow allocation method is used to solve the model.(3)The optimization method was verified by an example,and the model was verified and analyzed with the passenger flow of rail transit line on weekdays as an example.The optimization results show that: The comprehensive optimization of ticket price and the operation frequency of large and small trains can meet the passenger travel demand of each section of urban rail transit line,reduce the passenger flow during peak operating hours,and fully alleviate the current situation of uneven space-time distribution of passenger flow.Moreover,the optimization of ticket price can attract more potential passenger flow to a certain extent and effectively improve the fare revenue of enterprises.Meanwhile,the operation of Fulllength and Short-turn routing trains can avoid the waste of train transportation capacity and thus reduce the operating cost of enterprises.