Title:
TRAFFIC FLOW PREDICTION METHOD, AND PREDICTION MODEL GENERATION METHOD AND DEVICE
Document Type and Number:
WIPO Patent Application WO/2016/095708
Kind Code:
A1
Abstract:
Disclosed are a traffic flow prediction method, and a prediction model generation method and device.The prediction method comprises: for a road to be predicted, acquiring historical traffic flow data of the road to be predicted within a time period prior to the current time (301); from a correlation between a pre-existing road and a traffic flow prediction model, acquiring the traffic flow prediction model corresponding to the road to be predicted (302); and inputting the historical traffic flow data within the time period prior to the current time into the traffic flow prediction model corresponding to the road to be predicted, to obtain traffic flow data within a time period after the current time (303). Since traffic flow data has high nonlinearity and uncertainty and a neural network model has a relatively high nonlinear prediction capability, the neural network model is trained according to historical traffic flow data of a road, so that a traffic flow prediction model obtained by training can relatively accurately predict the traffic flow data of the road within the time period after the current time according to the traffic flow data of the road within the time period prior to the current time.
Inventors:
WU YUEJIN (CN)
Application Number:
PCT/CN2015/096341
Publication Date:
June 23, 2016
Filing Date:
December 03, 2015
Export Citation:
Assignee:
AUTONAVI SOFTWARE CO LTD (CN)
International Classes:
G08G1/01; G06F19/00; G06N3/02
Foreign References:
| CN102622418A | 2012-08-01 | |||
| CN102496284A | 2012-06-13 | |||
| JPH076290A | 1995-01-10 | |||
| JPH0729087A | 1995-01-31 |
Other References:
DU, GUOMING ET AL.: "Fast Second Order BP Neural Networks and Its Application for Forecast of Road Traffic Volume", CENTRAL SOUTH HIGHWAY ENGINEERING, vol. 31, no. 2, 30 April 2006 (2006-04-30), pages 48 - 50
Attorney, Agent or Firm:
TDIP & PARTNERS (CN)
北京同达信恒知识产权代理有限公司 (CN)
北京同达信恒知识产权代理有限公司 (CN)
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