Research On Dynamic Assignment Model Of Urban Rail Transit Based On Regret Theory

Urban rail transit has a very important position in public transportation because of its large volume,fast speed,high safety performance and high precision.In the urban rail transit system under network operation with seamless transfer,distribution of passenger flow in travel path and train can't be directly obtained from automatic fare collection(AFC)data.,so it is emergency that establish a scientific,reasonable and has good operation passenger assignment model,it can reflect the passengers behavior of path selection under the background of multipath selection.Passengers travel choice can be deduced through OD demand and train timetable,which not only can get passengers distribution on the path,but also get the number of trains waiting at a certain station and get the number of passengers at each station when they start.At the same time,the regret factor is considered in the route choice behavior analysis to realize the fine management of passengers..It can provide information for urban rail transit passengers,and provide reference for the dynamic management of passengers in the future.In this paper,the dynamic assignment method based on regret regret is used to study the passenger flow distribution in urban rail transit network,which is similar and different from previous studies.The main contents are as follows.(1)Analysis of passenger route choice behavior in urban rail transitFirstly,analysing the influence factors of urban rail transit passenger route choice,analysis of behavior modeling and then use the utility maximization rules and rules of the passengers regret minimizing route choice,from the probability of travel cost model and path selection of different aspects of the two kinds of route choice rules of different comparative analysis.Based on different route choice rules,utility maximization route choice model,regret minimization route choice model and mixed utility regret route choice model are respectively established.(2)Time-space expaned network modeling of urban rail transitBased on train timetable,the physical topology network of urban rail transit is expanded on time dimension,and the time-space expansed network based on timetable is obtained.At the same time,the time extension node in the time-space expansed network and the time-space expansed arc are defined,and the time-space expansed network model is constructed.(3)Construction of dynamic assignment model of Urban Rail Transit Based on Regret TheoryBased on the train schedule of urban rail transit,this paper constructs the space-time expansion network,calculates the utility and regret values of different arcs based on the utility function and the regret function respectively,and establishes different passenger flow distribution models based on utility and regret rules under the space-,And choose MSA algorithm to solve the model.(4)Take the rail transit network in Beijing as an example to carry out a case analysisBased on the dynamic OD demand of rail transit network,the different assignment models are used for comparative analysis.The difference of traffic assignment results of different passenger assignment models is analyzed,which provides a new way for passenger dynamic assignment.