A computer vision-based toll station traffic state monitoring device and method

Abstract

A computer vision-based toll station traffic status monitoring device, including a camera, a communication cable and a computer. There are multiple cameras, and multiple circular areas are set at equal intervals on the lane; one end of the communication cable is connected to the camera, and the other end is connected to the computer. The monitoring method is to collect video images of vehicles queuing up on the toll station lane through the camera, and can obtain real-time status information such as vehicle length, vehicle number, and vehicle residence time on the lane, and can find abnormal information such as vehicle lane change and queue jumping, and idle distance in the fleet. When the length and number of vehicles queuing up on the lane exceed the preset value, or when a vehicle is found to change lanes and jump in the queue or there is too much distance in the middle of the fleet, a corresponding alarm prompt can be issued on the computer side, so that the staff of the toll station can monitor in real time The traffic status of the toll station, and respond to the status of the alarm prompt in time to reduce the long parking time and congestion of vehicles at the toll station.

Description

technical field [0001] The invention relates to a computer vision-based toll station traffic state monitoring device and method, belonging to the technical field of intelligent traffic management. Background technique [0002] With the rapid development of social economy, the number of motor vehicles in my country is increasing continuously, which makes urban roads and transportation facilities overwhelmed, and local or even large-scale traffic congestion often occurs. As a place where the traffic of vehicles is relatively concentrated, toll stations are more prone to congestion, especially during holidays. [0003] Therefore, as a part of the traffic road network, the toll station also needs to monitor its traffic status, so as to facilitate the management and decision-making of the traffic management department. At present, there is no fully functional toll station traffic status monitoring system, basically relying on manual judgment, which is not only time-consuming and...

AI Technical Summary

Problems solved by technology

At present, there is no fully functional toll station traffic status monitoring system, basically relying on manual judgment, which is not only time-consuming and labor-intensive, but also in the event of traffic congestion, the measures taken by the toll station will also have a certain lag, which is not conducive to the traffic network. smooth operation of

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