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Model training method and device and electronic equipment

A model training and model technology, applied in the field of navigation, can solve problems such as maintenance difficulties, achieve the effect of accurate road additional information and improve prediction accuracy

Active Publication Date: 2022-07-08
ALIBABA (CHINA) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Taking road toll information as an example, the mileage billing method used in the existing technology is difficult to maintain due to the different rates and billing rules in different regions

Method used

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  • Model training method and device and electronic equipment
  • Model training method and device and electronic equipment
  • Model training method and device and electronic equipment

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Embodiment Construction

[0059] Hereinafter, exemplary embodiments of the present disclosure will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily implement them. Also, for the sake of clarity, parts unrelated to describing the exemplary embodiments are omitted from the drawings.

[0060] In the present disclosure, it should be understood that terms such as "comprising" or "having" are intended to indicate the presence of features, numbers, steps, acts, components, parts or combinations thereof disclosed in this specification and do not exclude one or a combination of Various other features, numbers, steps, acts, components, sections or combinations thereof may exist or be added.

[0061] In addition, it should be noted that the embodiments of the present disclosure and the features of the embodiments may be combined with each other under the condition of no conflict. The present disclosure will be described in detail below with reference ...

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Abstract

Embodiments of the invention disclose a model training method and apparatus, and an electronic device. The method comprises the steps of obtaining a target road segment set corresponding to a sample route and route additional information corresponding to the sample route; the target road section set comprises at least one target road section on the sample route, the length of the target road section and the classification feature of the target road section; the classification feature comprises an area where the target road section is located and a corresponding road identifier; aggregating the target road sections in the target road section set based on the classification features; the aggregation result comprises the target road category and the total length of the target road section under the same target road category; and training a machine self-learning model based on the aggregation result corresponding to the sample route and the route additional information to determine road additional information corresponding to the target road category. According to the technical scheme, the route is divided more meticulously, so that the obtained road additional information is more accurate, and the prediction accuracy of the route additional information of the new route can be improved.

Description

technical field [0001] The present disclosure relates to the technical field of navigation, and in particular, to a model training method, device and electronic device. Background technique [0002] With the development of Internet technology, people's travel is increasingly dependent on location-based service systems. Location-based services include navigation, route planning, map rendering, and more. In the route planning service, a recommended navigation planning route is given based on the starting point and end point provided by the user, and additional route information such as travel time, traffic light intersection, and road toll information are predicted for the navigation planning route. The route additional information has a certain influence on the user's route selection tendency, and sometimes even plays a decisive role in the route selection of some users. Therefore, it is necessary to accurately predict the above route additional information in the route pla...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/34G06N20/00
CPCG01C21/3461G06N20/00
Inventor 杨帆徐龙飞李波向振伟代睿
Owner ALIBABA (CHINA) CO LTD