Research On Model And Algorithm Of Collaborative Inflow Control For Urban Rail Transit Entrance In Peak Periods

Urban rail transit is the main form of transportation for commuters in rush hours in domestic metropolis.Due to the rapid growth of the city's permanent resident population,the increase of commuters in the rush hours is for more than expected,and urban rail transport system is facing with the situation that the transportation capacity is in short supply.In order to balance the traffic supply,many stations carry out the normalize current-limiting measures(known as passenger inflow control)in the rush hours.At present,there is no scientific basis yet for the starting and ending time of the current restrictions,the length of the channel for inflow passengers,and the security check rate of the station in the implementation of these normalize actions.In addition,as the subway station generally has four entrances or even more,the situation of arriving passengers between the different entrances is various as well as the rate of these entrances.If can't be seen independently and adopted cooperative current limiting strategy and carry out uniform strategy,there will be differences in the degree of congestion between different inlets that can cause potential safety hazard,and uneven utilization of station equipment and facilities,which will reduce the operation service level.Therefore,it is of great significance to research on the entrance-collaborative current limiting model and algorithm and provide the basis for the implementation of normal current limiting measures.This paper mainly focus on the relationship between the number of passengers in and out of the station,and obtains the determination method of optimal starting and ending time of the current restriction at each entrance,the reasonable length of the channel outside the station,and the reasonable rate of the security check,etc.Meanwhile,it analyzes the utilization rate of the platform during the peak hours,and proposes the normal current restriction optimization strategy including increasing security rate at stations and efficiency of getting on and off train,balance the number of people waiting outside the entrances,determine the reasonable length of the restricted flow path.In this paper,the objective functions to construct the current limiting model consist of the standard deviation of the queue number at each entrance and the minimization of the number of people waiting inside and outside the station.Genetic algorithm are designed to find out the time of the current limiting and the reasonable length of the channel,achieving the purpose of collaborative current limiting at multiple entrances.The utilization rate of platform is measured by the passenger exchange-coefficient of platform,indicators of entrance-collaborative current-limiting so as to achieve the purpose of rational using of equipment.Design contrast experiments of increasing security rate,reduce train stop time to enhance carrying capacity of station.This paper takes inflow restriction of weekday morning(Thursday and Friday)rush hour(from 7:30 to 8:30)of Tiantongyuan subway station as an example and uses Excel VBA programming to make time recording tool to record the arrival interval of passengers.Using Matlab distribution fitting toolbox to carry out the passenger inflow distribution fitting,which conforming to the inverse gaussian distribution.Then,this distribution is used to randomly generate passenger arrival times.The GA algorithm was used to solve the entrance-collaborative current-limiting model and making program of model by MATLAB.The paper draws the conclusion of the time of current-limiting and the reasonable length of the queue channel at current-limiting hours at each entrance.This paper compares several projects of the entrances coordinated inflow control strategies and verifies it.The results indicate that these strategies can decrease time for passengers staying at the station,and the number of passengers stranded inside and outside the station as well as improving carrying capacity of station.The paper verifies the effectiveness of the model.There are 55 pictures,10 tables and 76 references.