Walking Features Of Passengers In Urban Rail Transit Transfer Station

Transfer is a kind of behavior to passengers when they are in urban rail transit network,which is great important to the station organization work as well.The knowledge of the passenger walking rule in the transfer station is the premise of improving the transfer efficiency and the important reference index of the station design.That is to say,it’s very necessary to study it.In this paper,the urban rail transit transfer station is used as the main research objective,among them the typical station is the same platform station and the Channel transfer station,whose walking features of passengers will be discussed at hollow time.Firstly,this paper summarizes the characteristics of pedestrian in some different transportation station and transfer station,and the previous results are fully summarized.From them,the study plan to find some features both in macro and micro perspectives,the main work is as follows:(1)Based on the research results,this paper uses the mathematical statistics method and Matlab Software to complete the analysis of the passenger transfer time of the same platform and the channel transfer station.The results show that the passenger transfer time of the same platform transfer station is better conforms to the logarithmic normal distribution,the other is better suited to the normal distribution;At the same time,combined with the actual situation,the paper divides the same platform transfer station into two situations,which is the existence or not of trains on the opposite platform.After the comparison,this paper finds the fact that the arrival of the trains on the opposite platform has an obvious stimulation effect on the passengers’ behavior.(2)Combined with previous achievements,the passengers’ transfer distance at the channel transfer station has a certain correlation with its average transfer time and speed,but the previous model cannot describe all the rail transit stations,especially the stations with more escalators.This article classifies the station facilities for passenger transfer and combines the travel speed of passengers in different facilities.It divides the transfer streamline into two parts,different speed zones and the same speed zone,and realizes a scientific and convenient passenger transfer behavior.This is one of the innovations in this article.(3)After classifying the facilities on the streamline,this paper conducts a regression analysis of the related parameters after processing,and finds that the average transfer time and the square of the transfer distance shows a strong linear relationship,as well as transfer distance and the logarithm of the transfer distance.Comparing with previous research results,the model is similar to its conclusion,but on the basis of its optimization,the model can be used to explain more stations with different streamline structures,which is more universal.In addition,this paper also compares the transfer behavior with the outbound behavior.When the outbound streamline length meets a certain range,the rules of the passenger’s outbound are consistent with the rules of the passenger’s transfer pattern.(4)In view of the limited research data,a comprehensive simulation model of Anylogic is established,the paper describes the behavior of pedestrians from a microscopic perspective.On the one hand,using the research data and some previous results,this paper apply the high-level language functions in the software to reasonably set the basic operating parameters in the software.On the other hand,the study is mainly considering at hollow time,the composition of passengers is more complex,and most passengers are not familiar with the environment of the station.Therefore,this paper creatively adding the passenger hesitation behavior owing to watching the guide.At the same time,the advanced pedestrian agent classification that meets the previous investigation conditions was set up.The result shows that the model is highly consistent with actual situation.(5)After the comprehensive simulation model was established,this paper analyzed the results of its operation.Firstly,the simulation environment is used to simulate the passenger transfer behavior under other channel lengths,and the data relationships that are not obtained in the actual survey are verified,which proves the correctness of the regression model of this paper;Secondly,by adjusting the size of the passenger flow,the comprehensive simulation model give the description of the threshold law of the passenger flow at peak time,which proves the rationality of the study period;Finally,this paper makes a further analysis of the hesitation behavior in the transfer process and finds that hesitation behavior of passengers during hollow hours is more significant than during peak hours.That is to say,hesitation behavior has a greater impact on the simulation results during hollow hours,so the introduction of this factor is very necessary.