Method for predicting traffic congestion probability based on user feedback mechanism

A feedback mechanism, a technology of traffic congestion, applied in the direction of road vehicle traffic control system, traffic flow detection, traffic control system, etc., can solve the problem that the real-time data of the variable intelligence board cannot meet the requirements, and achieve the improvement of reliability and congestion. The effect of novel forecasting models and direct results

Active Publication Date: 2019-01-04
SOUTHEAST UNIV
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Problems solved by technology

Therefore, for the driver, the real-time data of the variable information board is far from meeting the requirements. Only by knowing the exact tim

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  • Method for predicting traffic congestion probability based on user feedback mechanism
  • Method for predicting traffic congestion probability based on user feedback mechanism
  • Method for predicting traffic congestion probability based on user feedback mechanism

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[0030] Below in conjunction with accompanying drawing and specific embodiment the present invention is described in further detail:

[0031] The present invention provides a method for predicting traffic congestion probability based on user feedback mechanism, which includes determining the coefficients of traffic flow influencing factors, determining the traffic flow prediction and correction method, determining the method of using probability to predict traffic congestion, and determining the correction. The method of congestion index, combined with big data to improve prediction accuracy, uses the probability of congestion to predict congestion to increase the perceptibility of forecast information. Traffic congestion forecasting method.

[0032] Such as figure 1 figure 2 Shown is an overall flow chart of the method for traffic jam probability prediction based on the user feedback mechanism. Combine below figure 1 figure 2 The method of the present invention is further ...

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Abstract

The invention discloses a method for predicting a traffic congestion probability based on a user feedback mechanism. The method comprises steps of determining a traffic flow influencing factor coefficient, determining prediction and correction of a traffic flow, predicting traffic congestion by using probability, and correcting a congestion index. According to the method disclosed by the invention, with the corrected historical flow data as a predicted reference flow, the prediction accuracy of the traffic flow is improved and the good foundation is laid for precise prediction. With consideration of feedback of traffic congestion index issuing by a driver, a prediction result is adjusted, so that the prediction accuracy, adaptability, and practicability are high. Moreover, the probabilityof congest state occurrence is calculated; the prediction result modes are enriched; the result becomes direct; the congestion prediction mode become novel; the prediction credibility is improved; andthe effective and useful reference can be provided for travelling of the driver.

Description

technical field [0001] The invention relates to the technical field of urban road traffic jam forecasting, in particular to a method for forecasting traffic jam probability based on a user feedback mechanism. Background technique [0002] Traffic forecasting refers to the scientific evaluation of the traffic conditions on a part or all of the city's road network in the future according to the pre-established system evaluation system, and the evaluation results are objectively released to the driver in the form of traffic index. Provide a reference for travel decisions. [0003] Traffic forecasting and traffic forecasting are different concepts. Traffic forecasting is only a part of traffic forecasting. Traffic forecasting not only predicts the traffic conditions on the road network in the future, but also releases the forecast results to drivers in the form of traffic indices. , and the driver will make corresponding changes according to the forecast situation and actual ne...

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Application Information

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IPC IPC(8): G08G1/01
CPCG08G1/0129G08G1/0137
Inventor 王炜李东亚卢慕洁徐浠鹏罗晨伟
Owner SOUTHEAST UNIV
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