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Method and device for predicting estimated arrival time and computing equipment

A technology of arrival time and calculation unit, applied in the field of artificial intelligence, can solve problems such as actual arrival time error

Active Publication Date: 2019-10-22
LINKTECH NAVI TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, the existing methods for predicting ETA have large errors in the prediction results and the actual arrival time.

Method used

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  • Method and device for predicting estimated arrival time and computing equipment
  • Method and device for predicting estimated arrival time and computing equipment
  • Method and device for predicting estimated arrival time and computing equipment

Examples

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Embodiment Construction

[0083] In order to illustrate the technical solutions of the present invention, specific examples are used below to illustrate.

[0084] attached figure 1 It is a schematic diagram of the implementation flow of the method for predicting the estimated time of arrival provided by the embodiment of the present invention, mainly including the following steps S101 to S103, which are described in detail below:

[0085] S101, screening ETA users to be predicted.

[0086] In the embodiment of the present invention, ETA users generally refer to people who have ETA needs, and they use ETA to make reasonable choices for their own travel arrangements. It should be noted that not all ETA users are the research objects of this embodiment of the present invention. In fact, since low-frequency ETA users are users who rarely use ETA services, the driving trajectory data required for extracting personality feature data does not have statistical significance. Therefore, in the embodiment of the...

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PUM

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Abstract

The invention relates to the field of artificial intelligence, and provides a method and a device for predicting estimated arrival time, so as to improve the accuracy of ETA prediction. The method comprises: screening ETA users to be predicted; extracting personalized feature data of the ETA user to be predicted according to the driving track data of the ETA user to be predicted and the road condition state of the road section corresponding to the driving track data of the ETA user to be predicted; and inputting the extracted personalized feature data of the ETA user to be predicted into an ETA output model so as to output the ETA of the ETA user to be predicted. According to the technical scheme provided by the invention, the personalized feature data of the ETA user to be predicted is extracted; the ETA of the predicted ETA user is output after being input into the ETA output model, the obtained ETA is closer to the actual arrival time from the departure place to the destination, theprecision of the predicted ETA is higher, and the predicted ETA can better serve the ETA user.

Description

technical field [0001] The invention belongs to the field of artificial intelligence, and in particular relates to a method, device and computer equipment for predicting and estimated arrival time. Background technique [0002] In the map service, the estimated time of arrival (Estimated Time of Arrival, ETA) refers to the estimated time spent from point A to point B. Based on the precise ETA, people can reasonably arrange travel time. For example, if the ETA from point A to point B is 2.5 hours, then in order to have more maneuvering, people can set off about 3 hours or longer in advance. [0003] An existing method of predicting EAT is to calculate ETA based on machine learning. In this technical solution, the calculation of ETA mainly considers the characteristics of the route between the departure point and the destination point, such as the length of the route, the real-time speed of the route, the traffic lights and turns, etc. According to the existing method, as lo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/30
CPCG06Q10/04G06Q50/40
Inventor 赵红超孟繁荣刘雨亭
Owner LINKTECH NAVI TECH