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Method and device for predicting destination of vehicle

A destination and vehicle technology, applied in the destination field, can solve the problems of low destination data efficiency, large time and regional impact, etc.

Pending Publication Date: 2021-05-04
HUAWEI CLOUD COMPUTING TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The method of knowing the destination of the vehicle in the prior art is to use a questionnaire survey. This method investigates the vehicle owner group by searching for passing vehicles in a certain traffic area or sharing a questionnaire link on the Internet to obtain the destination information of the vehicle. Through this The efficiency of the destination data obtained by the method is low, and it is greatly affected by time and region

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  • Method and device for predicting destination of vehicle
  • Method and device for predicting destination of vehicle
  • Method and device for predicting destination of vehicle

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Embodiment Construction

[0050] For ease of understanding, descriptions of concepts related to the present application are given below.

[0051] 1. Point of interest (POI)

[0052] POI is a place that people are interested in and often visits in daily life. Generally speaking, a POI can be described from three aspects: name, location and type.

[0053] The name of the POI is used to identify the POI to distinguish it from other POIs. The type of the POI is usually the result of dividing the POI according to the function or use of the POI. The location of the POI is usually expressed by the latitude and longitude of the location of the POI.

[0054] Types of POIs may include: government departments, gas stations, department stores, supermarkets, restaurants, hotels, convenience stores, hospitals, tourist attractions, stations, parking lots, etc.

[0055] Examples of POI names include: Tiananmen Square, Oriental Pearl Tower, Terracotta Army, Wangfujing Department Store, and Baiyun Airport. Each POI na...

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Abstract

The invention provides a method for predicting a destination of a vehicle and relates to the field of intelligent traffic. The method comprises the following steps that trajectory data of a to-be-predicted vehicle in a traffic area in a travel process and travel data of the to-be-predicted vehicle are acquired; according to the trajectory data, the travel data and a target neural network model, the destination information of the to-be-predicted vehicle in the traffic area is obtained, and the destination information comprises a destination sub-area of the to-be-predicted vehicle and the type of a destination point of interest POI of the to-be-predicted vehicle; the travel data of the to-be-predicted vehicle comprises one or more of the following data, a vehicle type, a travel weather type, a vehicle travel frequency in a first time period, a vehicle travel frequency in a second time period, and a vehicle travel sub-time period in a third time period. According to the method, the device and the computing equipment provided by the invention, efficiency and accuracy of predicting the destination of the vehicle can be improved.

Description

technical field [0001] The present application relates to the field of intelligent transportation, and more particularly, to a method and device for predicting a destination of a vehicle. Background technique [0002] Transportation is a basic need and prerequisite for economic development, driving the progress and development of modern equipment. However, with the rapid development of the urban economy, the contradiction between the travel demand of residents and the supply capacity of urban road traffic has become increasingly serious. The ensuing traffic congestion problem has become a global "urban disease". [0003] The problem of traffic congestion will not only lead to the decline of various functions of the city, but also increase the travel time cost of residents, which will lead to a decline in the quality of life of residents. In addition, traffic accidents, air pollution, noise impact and other related problems caused by traffic congestion have seriously hinder...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q50/26G06F16/9537
CPCG06Q10/04G06Q50/26G06F16/9537
Inventor 汪亮张亚楠朱林
Owner HUAWEI CLOUD COMPUTING TECH CO LTD