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Method for automatically analyzing and predicting traffic condition

A technology for automatic analysis of traffic conditions, applied in the direction of traffic flow detection, etc., can solve problems such as loss of accuracy of discrimination

Active Publication Date: 2014-09-17
BEIJING AEROSPACE FUDAO HIGH TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

If the judgment result cannot meet the needs of users in time, the accuracy of the judgment will lose its practical significance.

Method used

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  • Method for automatically analyzing and predicting traffic condition
  • Method for automatically analyzing and predicting traffic condition
  • Method for automatically analyzing and predicting traffic condition

Examples

Experimental program
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Effect test

Embodiment

[0134] Taking the Luoyuan section of Shenhai Expressway as the application object, a fuzzy evaluation and analysis module of traffic conditions based on fuzzy control is established on the comprehensive traffic management platform of Fuzhou Luoyuan Expressway, which can realize accurate identification of traffic conditions. Based on the k-nearest neighbor method, the traffic parameter prediction module is designed, and the change of traffic parameters (traffic flow, speed) is predicted by looking for the "nearest neighbor" similar to the current point in the historical data, and then the fuzzy evaluation and analysis module of traffic conditions is called to predict the next Traffic conditions for a time period.

[0135] 1. Information collection

[0136] (1) Equipment

[0137] The project adopts a pure high-definition system, including high-definition PTZ cameras and high-definition video detection technology. The equipment meets the requirements of various indicators stipu...

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Abstract

The invention discloses a method for automatically analyzing and predicting a traffic condition. The method comprises evaluation of the current traffic condition achieved on the basis of fuzzy control and future traffic condition prediction based on the combination of future traffic parameter prediction and fuzzy control. According to a fuzzy control method, traffic flow and speed are adopted as input, a traffic state is adopted as output, a series of judgment relations is built between the input and the output, and the traffic condition of each road segment is determined. A k-nearest neighbor method is adopted by the future traffic parameter prediction for prediction. A current traffic condition fuzzy evaluation and analysis module based on the fuzzy control can automatically analyze the traffic condition of the current road segment according to the current traffic flow and speed. A traffic parameter prediction module based on the k-nearest neighbor method can predict the traffic condition in a period of time in the future. The accuracy of real-time evaluation is 85 percent, the accuracy of predicating evaluation is 75 percent, the work pressure of traffic police can be effectively relieved, and the traffic police can be helped to carry out commanding and decision-making more effectively.

Description

technical field [0001] The invention relates to traffic control technology, in particular to an automatic analysis and prediction method for traffic conditions based on information intelligent processing technology. Background technique [0002] The development of the comprehensive traffic command platform has gone through the following stages: (1) information display stage, (2) superficial function stage, (3) actual function stage, (4) data mining stage, (5) comprehensive command and dispatch stage, ( 6) Intelligent traffic control stage. Most of my country's comprehensive traffic command platforms are still in the third and fourth stages of development. Among them, information analysis mainly relies on manual processing. Faced with massive traffic data, it is difficult for monitoring personnel to make timely and accurate judgments. [0003] Traffic status recognition is an important prerequisite for the realization of intelligent traffic management, and it is also a res...

Claims

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Application Information

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IPC IPC(8): G08G1/01
Inventor 曹天扬申莉陈锋
Owner BEIJING AEROSPACE FUDAO HIGH TECH
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