Early warning system based on traffic congestion state

Abstract

The invention discloses an early warning system based on the traffic congestion state. The early warning system includes a road traffic detection module, an information identification module, a controller, a traffic state analysis module and a vehicle-mounted early warning module; the road traffic detection module is connected with the information identification module, and the controller receivesposition and vehicle speed information set by the road traffic detection module, receives shooting time and license plate number information sent by the information identification module, and sends the received vehicle position, vehicle speed and time to the traffic state analysis module; and the traffic state analysis module analyzes and judges the congestion condition of a road and sends an early warning signal to the vehicle-mounted terminal. The early warning system based on the traffic congestion state detects the image and vehicle speed of a vehicle through the road traffic detection module, the information identification module identifies the license plate number and shooting time in the image, and combined with the traffic state analysis module, analyzes the traffic condition of the road and sends to the vehicle-mounted terminal on the vehicle, thereby prompting a driver to make a detour to avoid crowded road sections, and reducing traffic congestion.

Description

technical field [0001] The invention belongs to the technical field of road traffic and relates to an early warning system based on traffic congestion. Background technique [0002] Along with the increase of traffic flow in cities and highways, traffic jams occur from time to time. For the convenience of travel, people often hope to know the traffic flow situation of each road section they pass through, so as to adjust their driving route, avoid the road section with relatively congested traffic, and ensure that they reach their destination in a relatively short period of time. [0003] At present, video monitoring equipment has been installed on roads all over the country to obtain traffic and road condition information, but the actual traffic conditions of these roads are basically obtained based on people's visual observation and analysis. Video monitoring is used to ensure real-time data collection on road conditions , using 24-hour uninterrupted video collection, due ...

AI Technical Summary

Problems solved by technology

[0003] At present, video monitoring equipment has been installed on roads all over the country to obtain traffic and road condition information, but the actual traffic conditions of these roads are basically obtained based on people's visual observation and analysis. Video monitoring is used to ensure real-time data collection on road conditions , using 24-hour uninterrupted video collection, due to the large amount of monitoring data, it not only increases the workload of data processing, but also cannot accurately judge the road traffic status, resulting in the problem of poor timeliness for vehicle personnel to obtain road traffic conditions, which is not convenient Accurately remind drivers to detour, avoid congested roads and reduce traffic jams

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