Title:
TRAFFIC FLOW PREDICTION METHOD AND APPARATUS, COMPUTER DEVICE, AND READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/077767
Kind Code:
A1
Abstract:
A traffic flow prediction method and an apparatus, a computer device, and a readable storage medium. The method comprises: obtaining raw traffic data of a target road section for a predetermined duration; processing the raw traffic data to obtain parameters concerning the impact of external factors on the flow of traffic on the target road section; processing the raw traffic data according to the impact parameters to obtain corrected traffic data; dividing the corrected traffic data to obtain training set data and testing set data; using the training set data to train an initial causal convolutional recurrent neural network model to obtain an intermediate causal convolutional recurrent neural network model; using the testing set data to test the intermediate causal convolutional recurrent neural network model to obtain an evaluation result, and, if the evaluation result satisfies predetermined conditions, confirming the intermediate causal convolutional recurrent neural network model as a target causal convolutional recurrent neural network model; using the target causal convolutional recurrent neural network to predict the flow of traffic of the target road section at a time point to be predicted.
Inventors:
YE KEJIANG (CN)
HE HANGTAO (CN)
XU CHENGZHONG (CN)
HE HANGTAO (CN)
XU CHENGZHONG (CN)
Application Number:
PCT/CN2020/139299
Publication Date:
April 21, 2022
Filing Date:
December 25, 2020
Export Citation:
Assignee:
SHENZHEN INST ADV TECH (CN)
International Classes:
G06N3/04; G08G1/01; G06N3/08
Foreign References:
| CN111126680A | 2020-05-08 | |||
| CN109147324A | 2019-01-04 | |||
| CN111027673A | 2020-04-17 | |||
| CN111047078A | 2020-04-21 | |||
| CN111027686A | 2020-04-17 | |||
| US20200120131A1 | 2020-04-16 |
Attorney, Agent or Firm:
BEIJING ZHONG XUN TONG DA INTELLECTUAL PROPERTY AGENCY CO., LTD. (CN)
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