Method and apparatus for determining estimated time of arrival

A time-of-arrival and time-of-arrival estimation technology, applied in the field of machine learning, which can solve the problems of inaccurate calculation of speed, poor accuracy, and difficulty in accurately estimating time.

Inactive Publication Date: 2017-10-31
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Existing ETA estimation methods rely on accurate monitoring of the real-time speed of each route and accurate estimation of the time spent at each intersection, however, the speed of some routes may not be accurately calculated, and the time to pass each intersection is difficult Precise estimate
Therefore, the existing ETA estimation methods are not only poor in accuracy, but also rely too much on real-time road network data, so the existing ETA estimation methods cannot accurately estimate ETA

Method used

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  • Method and apparatus for determining estimated time of arrival
  • Method and apparatus for determining estimated time of arrival
  • Method and apparatus for determining estimated time of arrival

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Embodiment Construction

[0016] Various exemplary embodiments of the present disclosure are described in detail below with reference to the accompanying drawings. The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in a flowchart or a block diagram may represent a module, a program segment, or a part of a code, and the module, a program segment, or a part of a code may include one or more An executable instruction for a specified logical function. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also b...

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PUM

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Abstract

The embodiment of the disclosure relates to a method and apparatus for determining estimated time of arrival (ETA). The method comprises: acquiring a feature vector of each of a plurality of historical travels; constructing an ETA estimation model by using the feature vectors of the plurality of historical travels and actual time as sample sets; and determining the ETA of a new travel by using the constructed ETA estimation model. According to the embodiment of the disclosure, the plurality of historical travels are used as the sample sets and the ETA estimation model is trained by machine learning, so that the ETA of the new travel is estimated accurately and efficiently.

Description

technical field [0001] Embodiments of the present disclosure relate generally to the field of machine learning, and more particularly to methods and devices for determining estimated time of arrival. Background technique [0002] Estimated Time of Arrival (Estimated Time of Arrival, ETA) refers to the estimated time of arrival, and ETA is used to estimate the time to arrive at the specified destination, such as arriving at 3:23 this afternoon, or arriving in six minutes later. In the field of intelligent transportation (for example, electronic maps, navigation applications), ETA is used to estimate the time spent by moving subjects (for example, vehicles or pedestrians, etc.) from the starting point to the destination, which can describe the time and cost price. [0003] Traditionally, ETA is estimated by physically modeling travel trips. This kind of physical modeling usually divides the trip into multiple sub-trips, each sub-trip can represent a distance, for example, by...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/0968
CPCG08G1/0129G06Q10/04G06N20/00G06Q10/06G06Q50/30G08G1/0112G08G1/012G08G1/0141G08G1/202H04W4/029G01C21/3446G01C21/34G08G1/0968H04W4/02G01C21/26G06F3/00
Inventor 王征孙书娟叶杰平
Owner BEIJING DIDI INFINITY TECH & DEV
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