Station passenger flow monitoring system, station passenger flow monitoring method and station passenger flow control system, station passenger flow control method

Abstract

A station passenger flow monitoring system, monitoring method, station passenger flow control system and control method, the monitoring system includes a data acquisition system, a data processing system, etc.; the data acquisition system includes a plurality of infrared counting, video recognition counting and gate counting set at the station equipment; these devices are all connected to the data processing system; monitoring methods include: dividing the station into non-paying area, paying area, and platform area, further separating these three areas by setting up security inspection equipment, gates for entry and exit, etc., and then using infrared Counting, gate counting and other equipment will transmit the collected data to the data processing system for processing, and obtain the two-way passenger flow in and out of the three districts. The station passenger flow management and control system further includes a management and control decision-making module on the basis of the monitoring system, and the management and control method is to effectively control the station passenger flow through the management and control decision-making module. The invention can improve the efficiency of passenger flow management and control, facilitate the dredging of passenger flow in the station, and prevent the occurrence of large passenger flow emergencies.

Description

technical field [0001] The invention belongs to the technical field of urban rail transit safety and emergency management, and in particular relates to a station passenger flow monitoring and control system and a station passenger flow monitoring and control method. Background technique [0002] With the development of my country's social economy, especially the gradual acceleration of urbanization and urbanization, more and more people are pouring into large and medium-sized cities, which injects vitality into the city and increases the traffic pressure in the city. At present, subway workers have paid enough attention to passenger flow control, and have established targeted passenger flow control plans, which have played a role in controlling large passenger flow to a certain extent. However, there are generally the following problems: (1) The real-time distribution of passenger flow can only be roughly estimated by manual visual inspection or video surveillance, which is ...

AI Technical Summary

Problems solved by technology

However, there are generally the following problems: (1) The real-time distribution of passenger flow can only be roughly estimated by manual visual inspection or video surveillance, which is subject to large randomness and low accuracy; (2) The formulation of the large passenger flow control plan in the station mainly relies on experience (3) Lack of clear judgment on the streamline and dynamic evolution mechanism of passenger flow in the three-dimensional space of the station, resulting in a lack of scientific control decision-making, It affects the full play of operational efficiency; (4) There is a lag in the judgment of starting passenger flow control, which leads to the failure to implement control measures in time

[0004] However, there are certain defects in the above monitoring methods: the algorithm combined with adaptive background difference and proportional adaptive template matching has large errors when the flow of passengers is low, and cannot meet the accuracy requirements; using ticketing data information to realize statistics, prediction and The method of analyzing the operation status of urban rail transit has obvious lag; the method of optical flow method video analysis has low calculation accuracy of passenger flow density, and the processing reliability is not high

[0007] It can be seen from the above literature that the current analysis of traffic management under the condition of large passenger flow is mainly a summary of the experience of traffic management for some large-scale events. The research objects are highly targeted, and some theories are not universal; For the passenger flow forecasting in the planning stage, the improvement of the passenger flow forecasting method and the establishment of related evaluation systems are discussed more, but the passenger flow control analysis in the operation stage is less

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