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ETA prediction and model training method and device, medium and product

A prediction model and prediction value technology, applied in the field of data processing, can solve problems such as low calculation efficiency, failure to consider specific time, inaccurate ETA, etc., to achieve the effect of improving accuracy

Pending Publication Date: 2022-07-22
AUTONAVI
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Problems solved by technology

The current travel time of different road sections in this prediction algorithm is predicted by a unified prediction model, but in fact, many road sections with stable travel time can quickly predict the results through a simple model, so the existing ETA prediction algorithm is aimed at Different types of road sections use a unified and complex prediction model, which wastes computing resources and has low calculation efficiency. Moreover, the existing model predicts the current travel time of each road section, and does not take into account the specific time expected to enter this road section, so the prediction The ETA is inaccurate

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  • ETA prediction and model training method and device, medium and product
  • ETA prediction and model training method and device, medium and product
  • ETA prediction and model training method and device, medium and product

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[0082] 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.

[0083]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 are not intended to exclude a or multiple other features, numbers, steps, acts, components, parts, or combinations thereof may exist or be added.

[0084] 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 to the...

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Abstract

The embodiment of the invention discloses an ETA prediction and model training method and device, a medium and a product. The method comprises the steps that the road section type of each road section in a target route is acquired; based on the road section level prediction model corresponding to the road section type of each road section, calculating a passing time prediction value of each road section in each time slice in the future after the departure time; based on the passing time predicted value of each road section in each time slice in the future, determining the predicted entering moment of each road section; accumulating the passing time prediction value of each road section at the predicted entering moment to obtain the road section-level predicted passing time of the target route; and predicting the predicted arrival time corresponding to the target route based on the road segment-level predicted passing time of the target route and the related passing characteristics of the target route by using a route-level prediction model. According to the technical scheme, the predicted arrival time corresponding to the target route can be predicted more accurately.

Description

technical field [0001] The present disclosure relates to the technical field of data processing, in particular to an ETA prediction and model training method, device, medium and product. Background technique [0002] ETA (Estimated Time of Arrival, estimated time of arrival) is an estimate of the travel time of the planned route. Usually, when a navigation application plans a navigation route for a user, it also uses an ETA prediction algorithm to calculate the ETA required by the user to reach the destination through the corresponding navigation route. For navigation applications with high daily activities, the ETA prediction algorithm has a considerable calling frequency, so extremely high requirements are put forward for the accuracy and computational efficiency of the ETA prediction algorithm. The current ETA prediction algorithms usually directly use the prediction model to predict the current travel time of each road section on the navigation route, and accumulate the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06Q10/04G06Q50/30
CPCG06F30/27G06Q10/047G06Q50/40
Inventor 代睿唐翠崔恒斌秦伟李伟甘杉林
Owner AUTONAVI
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