Traffic flow statistical method facing to urban traffic signal timing plan

Abstract

The invention belongs to the intelligent transportation field, and specifically relates to the traffic flow statistical method facing to an urban traffic signal timing plan. The method comprises the steps of detecting and tracking a traffic object in a video by using an image processing technology, acquiring the track information of the traffic object, extracting a start-destination coordinate ofeach track to cluster by analyzing and processing the track information and the video scene information, acquiring the subarea information of the scene, and at last, acquiring the detailed traffic flow information. The statistical method provided by the invention has better precision and data richness, provides richer traffic parameter information, can be used for the early warning of the accident, the jam prevention and the automatic route planning, and still has better effect specifically aiming at the complex situation of the heavy traffic flow scene. At the same time, the signal timing plan is performed by acquiring the traffic flow information of the cross road during different time periods, so as to bring obvious economic benefic and improve the traffic passing efficiency.

Description

technical field [0001] The invention belongs to the field of intelligent transportation, and in particular relates to a traffic flow statistical method oriented to urban traffic signal timing. Background technique [0002] Estimating the number of vehicles in traffic video sequences is an important task in intelligent transportation systems that can provide reliable information for traffic management and control. In traditional intelligent transportation systems, vehicle counting is done by special sensors such as magnetic rings, microwave or ultrasonic detectors. However, these sensors have some limitations, such as the data collected is too simple and the installation cost is high. With the development of image processing technology, compared with traditional sensor methods, video-based vehicle counting methods have begun to be paid attention to and valued. [0003] Vehicle counting methods using machine vision include: detection, tracking, and trajectory processing. Th...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the problems of limited video angle, slow calculation speed and inability to handle complex scenes in the prior art,

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