Vehicle counting-based traffic light control system and control method thereof

Abstract

The invention discloses a vehicle counting-based traffic light control system and a control method thereof. The system comprises a video monitoring information acquisition module, a video monitoring information comprehensive analysis and decision module, a traffic light control module and a traffic light controlled implementation module, wherein the video monitoring information acquisition module is used for acquiring a real-time traffic flow monitoring frame; the video monitoring information comprehensive analysis and decision module performs vehicle counting on real-time traffic flow by a statistical learning-based vehicle detection method and combines a vehicle counting result with the perennial traffic flow statistical result of an actual road to generate a traffic light control decision; and the traffic light control module is used for sending a traffic light state variation instruction to the traffic light controlled implementation module according to the traffic light control decision. The accuracy of the vehicle counting is improved by perfecting the program of the vehicle detection method under the condition of not changing external equipment, and the system has the characteristics of low updating cost and high function expandability.

Description

technical field [0001] The invention relates to a target detection system and method in image processing, in particular to a vehicle detection system and control method in images. Background technique [0002] With the development of industrialization, motor vehicles have gradually become a more popular means of transportation. According to statistics, at the end of 2008, the number of motor vehicles in Beijing was 3.504 million, an increase of 376,000 compared with 2007, an increase of 12.0%. Compared with 2000, the number of motor vehicles in Beijing has increased by 1.926 million vehicles in the past seven years, an average annual increase of 241,000 vehicles, with an average annual increase rate of 10.5%. While motor vehicles bring great convenience to people's travel, they also bring great problems to urban traffic. The frequent occurrence of traffic accidents and the extreme congestion of urban traffic have become social problems that everyone must face. For this rea...

AI Technical Summary

Problems solved by technology

These dynamic adjustment schemes have some shortcomings: the radar system is expensive; the coil induction system has the problem that the coil is easy to break, and cannot adapt to the current situation of frequent urban road network transformation; the infrared induction system is easily interfered by factors such as fog

Moreover, the above three methods all have the disadvantages that the functions are relatively single and cannot meet the needs of traffic managers.

Images