Traffic information prediction method

Abstract

The invention discloses a traffic information prediction method. The method includes the following steps that: the joint of more than two road traveling paths which are not in a crossroad and are located in an urban traffic map is selected, and the joint is adopted as a reference point, a point which is N metres before the reference point is a terminal point, and a point which is 2N metres behind the reference point is a starting point; the terminal point and the starting point are both provided with one automatic camera and a magnetic line of force, and the lenses of the cameras, facing the joint, perform photographing; measurement time is set, photographed pictures are uploaded to a remote database in the measurement time, and a remote control center calls the images from the database and performs image recognition on the images, so that vehicle density in the images can be obtained through statistics; real-time vehicle density is compared with preset comparison vehicle density, if the real-time vehicle density is lower than or equal to the comparison vehicle density, a message indicating that the traffic is smooth is outputted, and if the real-time vehicle density is higher than the comparison vehicle density, whether congestion exists can be judged according to vehicle speed. The traffic information prediction method of the invention has the advantages of simplicity, small amount of occupied data, simple and convenient computation, high precision and excellent prediction effect.

Description

technical field [0001] The invention relates to a traffic information prediction method. Background technique [0002] With the development of social economy and transportation, many traffic problems such as traffic congestion and traffic accidents have become more and more serious, and have become global problems. The problem of travel difficulties cannot be solved simply by building roads and traffic settings. Knowing the current road traffic conditions in order to choose the most effective traffic route and travel mode, so how to establish a reasonable and scientific traffic control and guidance system becomes the core of solving this problem. [0003] To achieve traffic control and guidance, the key lies in the prediction of traffic status, that is, how to effectively use real-time traffic data information to rollingly predict the traffic situation in the short term in the future, and send the prediction results to the traffic information system and management system. T...

AI Technical Summary

Problems solved by technology

At present, traffic data is obtained by investing a lot of manpower, material resources, and financial resources in field surveys, so real-time surveys cannot be realized. However, traffic data is constantly developing and changing, and traffic data surveyed at intervals cannot support the accuracy required for forecasting.

[0006] At present, there are quite a lot of theoretical research results in this field, but very few technologies have been put into practical engineering. Some foreign professional institutions have developed corresponding traffic forecasting software for this. However, due to the complexity of my country's urban traffic network , the application effect of foreign software in China is not very satisfactory; and there is no development and production of traffic forecasting software in China