Abstract
Purpose Beijing rail transit can actively control the density of rail transit passenger flow, ensure travel facilities and provide a safe and comfortable riding atmosphere for rail transit passengers during the epidemic. The purpose of this paper is to efficiently monitor the flow of rail passengers, the first method is to regulate the flow of passengers by means of a coordinated connection between the stations of the railway line; the second method is to objectively distribute the inbound traffic quotas between stations to achieve the aim of accurate and reasonable control according to the actual number of people entering the station. Design/methodology/approach This paper analyzes the rules of rail transit passenger flow and updates the passenger flow prediction model in time according to the characteristics of passenger flow during the epidemic to solve the above-mentioned problems. Big data system analysis restores and refines the time and space distribution of the finely expected passenger flow and the train service plan of each route. Get information on the passenger travel chain from arriving, boarding, transferring, getting off and leaving, as well as the full load rate of each train. Findings A series of digital flow control models, based on the time and space composition of passengers on trains with congested sections, has been designed and developed to scientifically calculate the number of passengers entering the station and provide an operational basis for operating companies to accurately control flow. Originality/value This study can analyze the section where the highest full load occurs, the composition of passengers in this section and when and where passengers board the train, based on the measured train full load rate data. Then, this paper combines the full load rate control index to perform reverse deduction to calculate the inbound volume time-sharing indicators of each station and redistribute the time-sharing indicators for each station according to the actual situation of the inbound volume of each line during the epidemic. Finally, form the specified full load rate index digital time-sharing passenger flow control scheme.
Highlights
In the context of the continuous advancement of urbanization, the urban rail transit system has become the main way for urban residents to travel
The digital flow control model discussed in this paper takes the full load ratio of the road network as the control target, and uses the passenger information of each train as the basic unit, which reduces the complexity of road network linkage; from the line train to the station, we can control the input from the source, which conforms to the actual law; in the actual application process, the secondary dynamic allocation correction can be made according to the current inbound volume at each station of the line, which is more consistent with the passenger flow law of the day and is more suitable for on-site personnel dispatch and command
The precise prediction of future passenger movement and the accurate classification of the entire passenger travel process is the key to the digital flow control model for eventually achieving accurate on-site flow control
Summary
In the context of the continuous advancement of urbanization, the urban rail transit system has become the main way for urban residents to travel. Due to the continuous improvement of the construction speed and the increasing demand for passenger flow, the urban rail transit system has gradually shown the characteristics of networked operating lines and complicated passenger flow components. The arrival of the new crown epidemic has caused significant changes in the rail transit passenger flow trends in major cities and has placed more requirements on operation and management personnel. The passenger flow of the Beijing rail transit network has continued to rise with the changes in the epidemic prevention and control situation and the deepening of the resumption of work and production since February 10, 2020. In the current situation, it has become a key issue to be urgently resolved how to accurately monitor the entry volume of each station in the road network to satisfy the full load rate requirements of the running trains in the road network
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