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Introduction to lifting intelligent traffic monitoring system

Time:2021-06-08 View:

Make the traffic information and traffic-related information on the road as complete and real-time as possible; The information exchange among traffic participants, traffic managers, vehicles and road management facilities is real-time and efficient; the control center controls the execution system more efficiently; The processing software system has the ability of self-learning and self-adaptation.
 
Background
System Introduction
With the rapid development of social economy, the living standard of urban residents is continuously improving, and motor vehicles have become an indispensable means of transportation for people to travel. How to carry out effective management of motor vehicles, how to punish and reduce traffic violations, and how to quickly detect traffic accident escape and motor vehicle theft and robbery cases have become local governments, the traffic control department pays more and more attention to a problem. Therefore, the installation and implementation of intelligent traffic monitoring system have also become the focus of management departments.
The intelligent traffic monitoring system sends the on-site images in the monitoring area back to the command center through the monitoring system, so that managers can directly grasp the traffic conditions such as vehicle queuing, congestion, signal lights, etc, adjust signal timing in time or use other means to divert traffic and change the distribution of traffic flow so as to alleviate traffic congestion.
The intelligent traffic monitoring system provides picture monitoring, vehicle query, violation query, intelligent research and judgment, deployment control, and traffic statistical analysis; Real-time picture monitoring of road vehicle information, synchronous picture stacking time, capture location, license plate number, license plate color, car body color, equipment name, speed, speed limit, Lane, red light time and capture serial number, etc.; Support real-time refresh of bayonet vehicle information and stop refresh operation; supports a variety of vehicle research and judgment modes, such as the first time, frequent time, and high-risk time periods. Supports vehicle behavior analysis and query modes, such as interval, collision, same driving, and fake plate vehicles. Real-time monitoring of traffic road conditions, provides bayonet functions such as identifying vehicle number plate characters, identifying vehicle number plate color, identifying body color, detecting vehicle speed, etc. At the same time, it also provides red light running, not driving by Lane, changing lanes illegally, retrograde, functions such as pressing (real) lines; Support the entry of license plate number, owner information, body color, body length, vehicle type, license plate color, control organization and wanted Unit, control type, deploy information such as the contact person and the time of the deployment.
Current Situation Analysis
(1) uneven location distribution and less monitoring.
(2) the technical parameters of existing facilities are low. Some monitoring facilities have low technological content and backward monitoring methods and functions. After some traffic accidents and escapes occur, even though the videos can be retrieved from some toll stations or road sections for viewing, some videos are vague and cannot distinguish the vehicle number plate, color, type, unable to provide valuable clues for the detection of the case in time.
(3) the technical standards of the monitoring system are different and the integration is difficult. Some monitoring systems only have simple photographing function, fail to form real intelligent monitoring function, fail to reach the level of synchronous networking sharing of intelligent monitoring information, and are still in the state of each department and level, it restricts the construction of linkage operation mechanism.
Contrast with tradition
The traditional video surveillance system mainly monitors the black spots of roads, intersection points of busy sections, tunnel entrances, main roads and public bridges, and can only intuitively see the reality of a small part of a certain section of roads, this kind of monitoring method usually cannot predict sudden and strong traffic abnormal events, and it is easy to cause secondary serious traffic accidents, such as serial car collision, etc. However, the intelligent traffic monitoring system uses identification technology to analyze, and traffic personnel will be automatically notified if any abnormality occurs, so that traffic personnel can grasp the traffic conditions such as queuing and congestion in time, adjust signals or use other means to divert traffic and change the distribution of traffic flow so as to alleviate traffic congestion. After the traffic personnel find the incident, they can also inform relevant departments to handle it in time, such as calling an ambulance to rescue the injured, towing the damaged vehicle, arranging repair personnel to repair the damaged road surface, etc, reduce the impact caused by traffic accidents and keep the road smooth.