The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 08, 2023

Filed:

Sep. 25, 2020
Applicant:

Baidu Online Network Technology (Beijing) Co., Ltd., Beijing, CN;

Inventors:

Xiaomin Fang, Beijing, CN;

Jizhou Huang, Beijing, CN;

Fan Wang, Beijing, CN;

Lingke Zeng, Beijing, CN;

Haijin Liang, Beijing, CN;

Haifeng Wang, Beijing, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01C 21/34 (2006.01); G01C 21/36 (2006.01); G06N 3/08 (2023.01); G06F 18/214 (2023.01);
U.S. Cl.
CPC ...
G01C 21/3492 (2013.01); G01C 21/3626 (2013.01); G06F 18/214 (2023.01); G06N 3/08 (2013.01);
Abstract

A method and apparatus for building a route time consumption estimation model, and a method and apparatus for estimating a route time consumption are provided. The method comprises: obtaining training data from user trajectory data; obtaining the route time consumption estimation model by using the training data, wherein the route time consumption estimation model comprises: a road condition subnetwork estimating road condition feature representations of road segments included by the route by using the time information and road network feature representations of road segments included by the route; an integration subnetwork determining an estimated time consumption on the route according to a feature representation of the time information, vector representations of the road segments included by the route and road condition feature representations of the road segments included by the route; a training target of the route time consumption estimation model is to minimize a difference between the estimated time consumption and an actual time consumption on the route. The accuracy of the estimation of time consumption on the route can be improved.


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