Road traffic jam analysis method based on aerial image

Abstract

The invention provides a road traffic jam analysis method based on an aerial image. The method comprises the following steps that: firstly, through an unmanned aerial vehicle, collecting to obtain the aerial image, and transmitting the aerial image to a remote server to be stored; secondly, aiming at the aerial image of a dynamic background to introduce a background compensation technology, reconstructing a static scene in a period of time, adopting a pixel gray level based voting strategy to finish background extraction on the basis, and therefore, utilizing a background subtraction and morphological erosion technology to extract road vehicles; then, adopting an improved mean value drift tracking algorithm to finish the tracking of all vehicles; and finally, combining with a frame rate to calculate time occupancy and average travel speed, taking the time occupancy and the average travel speed as basic indexes for a jam analysis model, establishing a model based on a fuzzy theory, and realizing traffic jam analysis. By use of the method disclosed by the invention, data support can be provided for transport agencies to further carry out traffic jam analysis and a jam dredging strategy, so that a traffic jam phenomenon can be avoided as far as possible, and road traffic resources can be reasonably used to a maximum degree.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method for analyzing road traffic jams based on aerial images. Background technique [0002] With the rapid development of the economy, people's living standards are generally improved, and the way of traveling by car instead of walking is becoming more and more popular. However, urban road construction cannot keep up with the pace of car popularization, and the road traffic situation is deteriorating, which not only affects The traffic problem in the whole city also seriously affects the safety of people's life and property. Traffic intelligence is the most effective and important measure to solve today's traffic problems. The development of intelligent transportation technology can not only effectively improve the efficiency of vehicle operation, but also relieve driver fatigue, which is an important way to reduce traffic accidents. [0003] Urban road traffic cong...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to propose a road traffic congestion analysis method based on aerial images by using unmanned aerial vehicles combined with image processing technology in view of the shortcomings of existing traffic information collection equipment and the low intelligence of the congestion analysis model , efficiently and accurately analyze the degree of traffic congestion on the road, and provide data support for the traffic department to further analyze traffic congestion and congestion relief strategies, so as to avoid the occurrence of traffic congestion as much as possible and maximize the utilization of road traffic resources. use

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