Simulation Research On Passenger Flow Distribution Of Urban Rail Transit Based On AFC Data

Under the networked operation conditions of an urban rail transit system,the accessibility of the network is enhanced,the travel behavior of passengers is diverse,and the distribution of passenger flow is complex.In order to give full play to the advantages of the urban rail transit and improve its service level,it is necessary to study passenger travel behavior and passenger flow laws.AFC data is rich in passenger travel information,and how to mine the micro-behavior characteristics of passengers and the macro-distribution characteristics of passenger flow through AFC data has become a research hotspot of passenger flow distribution.In this paper,urban rail transit passenger flow is taken as the research object,combined with AFC data and timetable data,this paper simulates passenger travel with simulation technology to infer the distribution of passenger flow,and thus the rule of mining passenger flow can be obtained.The main work of this paper is as follows:(1)This paper proposes a path selection model considering travel constraints.Firstly,the path search algorithm based on depth-first search and pruning strategy is used to obtain the effective path set.This paper explains the route selection method based on AFC travel time estimation and Logit model,and analyzes the scope and limitations of both.Finally,this paper proposes a passenger individual path matching model which is suitable for the simulation model.(2)This paper proposes a simulation model of dynamic passenger flow distribution.In order to improve the efficiency of passenger flow simulation,this paper takes passengers,trains and stations as the main simulation bodies and adopts a passenger flow simulation framework based on the train departure point,which focuses on the originating passengertrain matching model and the transferring passenger-train matching model.In order to improve the accuracy of passenger flow simulation,this paper classifies passengers according to the number of transfers and the station where they are,and then sets the corresponding boarding process.Secondly,in order to reflect the impact of passenger flow congestion and travel time on passenger route selection,this paper establishes a route time feedback update model which dynamically updates the arrival time and transfer time.Finally,the paper analyzes and revises the service train connection and passenger crossover behavior in the loop rail transit line,and proposes the basic steps of the dynamic passenger flow simulation model.(3)This paper builds a simulation example of Chengdu subway passenger flow.First of all,this paper verifies the validity of the route selection model and the passenger flow distribution model.Among them,this paper verifies the validity of the passenger route selection model by comparing the route selection results of some typical OD pairs,which are obtained with the MNL model and the actual survey results.The absolute error and relative error of travel time are used to verify the accuracy of the passenger flow distribution simulation model.Finally,this paper counts the number of passengers on trains during peak hours,the number of transfers,and the number of passengers staying at the station at each period,to prove the guidance of the simulation model for the organization of rail transit.