Passenger flow monitoring method of urban rail transit network

Abstract

The invention discloses a passenger flow monitoring method of an urban rail traffic network, and relates to the technical field of urban rail traffic safety. The passenger flow monitoring method comprises the following steps of: S1: collecting real-time passenger ticket data of a rail traffic line ticket selling and checking system according to a pre-set period and calculating a bus station passenger flow, a line region passenger flow and a transferring passenger flow; storing the three passenger flows into a database; configuring a searching optimization policy; and S2: drawing a rail traffic pattern layer on an electronic map and accumulating the bus station passenger flow, the line region passenger flow and the transferring passenger flow into a region passenger flow; drawing a region path of the rail traffic pattern layer by different colors according to the passenger flows of each region; and according to a passenger flow early-warning region, rapidly reflecting large-scale passenger flow early warning and the degree. The passenger flow monitoring method realizes an accurate and real-time passenger situation distribution condition of a dynamic monitoring rail traffic line network, and effectively improves the efficiency of calculating the line network passenger flow.

Description

technical field [0001] The invention relates to the technical field of urban rail transit safety, in particular to a method for monitoring passenger flow in an urban rail transit line network. Background technique [0002] At present, the passenger flow of the rail transit main line is collected by the number of people entering and leaving the station, and the passenger flow of the station is obtained. The passenger flow data is registered by swiping the card at the gate. The number of people standing or going out. For the transfer passenger flow between lines, the transfer passenger flow is calculated through the clearing algorithm, combined with the shortest path, cost, clearing ratio and other elements. Since the volume of passenger flow transaction records is usually very large, and the data collection frequency is about 5 to 15 minutes, it is usually calculated uniformly after the daily rail transit stops operating to generate current or historical passenger flow stati...

AI Technical Summary

Problems solved by technology

Without real-time and accurate passenger flow analysis results, it is difficult to judge the distribution of passenger flow status in each section of the line network. There will be a certain delay between the results calculated according to the existing methods and the actual passenger flow distribution, so the passenger transportation organization measures formulated are difficult to meet expectations Effect

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