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Traffic Flow Forecasting Method

A technology of traffic flow and prediction method, which is applied in traffic flow detection, traffic control system, traffic control system of road vehicles, etc., and can solve the problems of low reference, difficult sensor data prediction, large error of prediction results, etc.

Active Publication Date: 2021-06-22
XIAMEN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In related technologies, when traffic flow is predicted, due to the dynamic spatial correlation and nonlinear time correlation between traffic conditions, it is difficult to dynamically select relevant sensor data to predict traffic conditions; resulting in errors in prediction results Larger; less informative

Method used

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Embodiment Construction

[0036] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0037] In related technologies, when predicting traffic flow, it is difficult to dynamically predict traffic conditions, and the error of the prediction result is large, and the reference is low; according to the traffic flow prediction method of the embodiment of the present invention, first, multiple nodes are collected The traffic condition data and the location information corresponding to each node; then, calculate the space vector corresponding to each node according to the obtained location information, and generate the spa...

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Abstract

The invention discloses a traffic flow forecasting method, comprising the following steps: acquiring traffic condition data collected by multiple nodes and positioning information corresponding to each node; calculating a space vector corresponding to each node according to the positioning information, and The traffic condition data and the space vector generate a space-time vector; calculate the space weighted value and time weighted value corresponding to each node according to the space-time vector and the traffic condition data, and the space weighted value and the time weighted value The value is gated and fused to obtain the fused value, and the future traffic flow is predicted according to the fused value; accurate prediction of future traffic conditions can be realized, and the referenceability of the prediction result can be improved.

Description

technical field [0001] The invention relates to the technical field of traffic forecasting, in particular to a traffic flow forecasting method. Background technique [0002] With the development of society, urban traffic is becoming more and more congested. In order to solve this problem, it is necessary to effectively predict urban traffic, so that people can carry out effective planning of travel according to the prediction results, or, relevant departments carry out corresponding control according to the prediction results, so as to improve people's travel efficiency. [0003] In related technologies, when traffic flow is predicted, due to the dynamic spatial correlation and nonlinear time correlation between traffic conditions, it is difficult to dynamically select relevant sensor data to predict traffic conditions; resulting in errors in prediction results Larger; less informative. Contents of the invention [0004] The present invention aims to solve one of the tec...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G06N3/02
CPCG06N3/02G08G1/0104G08G1/0125
Inventor 范晓亮郑传潘闫旭王程
Owner XIAMEN UNIV