Traffic Information Prediction Method

Abstract

The invention discloses a method for predicting traffic information. The method selects an intersection point of two or more roads that is not a crossroad in a city traffic map, takes the intersection point as a reference point, and ends at N meters ahead and 2N behind. The starting point is the starting point, and an automatic camera and a magnetic force line are set at the starting point and the ending point respectively. The lens of the camera is aimed at the intersection point to shoot, and the measurement time is set. During this period, the pictures taken are uploaded to the remote database. The control center calls the image from the database, performs image recognition on it, and counts the vehicle density in the image, and compares the real-time vehicle density with the preset comparison vehicle density. If the real-time density is lower than or equal to the comparison vehicle density, the output traffic If the situation is smooth, if the real-time density is higher than the comparison vehicle density, then judge whether there is congestion according to the speed of the vehicle. The invention has the advantages of simple steps, small amount of occupied data, simple and convenient operation, high precision and good 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