Method for identifying traffic events for special gate of urban railway transit

Abstract

The invention relates to a method for identifying traffic events for a special gate of an urban railway transit. The method is mainly and technically characterized by comprising the following steps: setting multiple pairs of infrared sensors in a gate passage and dividing the passages formed by the gate from right to left into the zones of LZone1, LZone2, LZone3, RZone3, RZone2 and RZone1; during identification, acquiring the behavior and event in the moving process according to the predefined behavior and event so as to form an event sequence; with respect to the ticket evading phenomenon such as tagging along and forcing on entrance as well as bringing luggage, defining the equal compound event; judging the number of people passing through the passage by analyzing the event sequence; and detecting people holding tickets, tagging along, forcing on entrance or passing at the same time by comparing with the effective tickets confirmed by the gate. The shear gate by using the event identifying method can be used for improving the identification rate to 85%, and 90 persons can pass through the gate per minute.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition, and in particular relates to a traffic event recognition method for a special gate for urban rail transit. Background technique [0002] Turnstiles (scissor gates), as automatic fare checking equipment, are one of the key devices in the Automatic Fare Collection (AFC) system of urban rail transit. The gate uses its internal intelligent pattern recognition system to identify the passing behavior of passengers in the gate passage, so as to determine and identify various passing behaviors of passers-by, so as to realize automatic ticket checking. Its goal is to block intrusions without a ticket or follow fare evaders, protect passengers with luggage or children from passing through normally (not caught by the closed door leaf of the gate), and speed up the passage of passengers. The special gates for rail transit are equipped with an intelligent passing behavior pattern recognition syst...

AI Technical Summary

Problems solved by technology

Although foreign gate products equipped with the above identification system have been widely used, due to the common problems of low recognition rate (<=70%) and slow passenger traffic (60 people per minute at the gate gate), Therefore, it cannot fully meet the requirements of the rapid development of urban rail transit

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