Method for predicating travel destination by using GPS travel data

A destination and data technology, which is applied in the field of resident travel survey and data processing and analysis, and can solve the problem of not dividing the travel destination prediction period.

Active Publication Date: 2016-12-07
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to overcome the problems existing in the existing research that the traditional large-scale household travel survey needs to be carried out, the road network map

Method used

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  • Method for predicating travel destination by using GPS travel data
  • Method for predicating travel destination by using GPS travel data
  • Method for predicating travel destination by using GPS travel data

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Experimental program
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specific Embodiment approach

[0061] 1. Definition and data format

[0062] 1. Travel: Refers to the traffic behavior of vehicles and pedestrians moving from the departure point to the destination.

[0063] 2. Travel destination: the end point of a trip.

[0064] 3. Frequently visited travel destinations: travel destinations whose visit frequency is greater than or equal to 3 times / week during working days and greater than or equal to 0.6 times / week during non-working days, also referred to as frequently visited destinations. The notation format is "D+serial number", such as D1.

[0065] 4. Data point: every travel location point collected and recorded by the GPS device.

[0066] 5. Support points: Data points on the travel trajectory between frequently visited destinations that can represent the location and direction of the trajectory. The mark format is "position number-direction", for example 001-north.

[0067] refer to image 3 , is a schematic diagram of the above definitions.

[0068] 6. Data...

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Abstract

The invention discloses a method for predicating a travel destination by using GPS travel data. The concrete predication method comprises the following steps: 1, determining travel destination and dividing travel destination predication time intervals; 2, determining the frequently visited travel destinations in different travel destination predication time intervals and the supporting point corresponding to every frequently visited travel destination; and 3, respectively establishing and demarcating travel destination predication models in the workday time interval and in the non-workday time interval, and predicating the travel destination. The predication method allows the travel destination in the workday time interval and in the non-workday time interval to be predicated by using the GPS travel data, so the travel destination in all travel modes can be predicated without traditional household large-scale resident travel investigation or road network graph obtaining, and the method has high identification accuracy and strong applicability. Predication results can be applied to vehicle navigation equipment or mobile phone navigation software in order to carry out real-time travel destination recommending.

Description

technical field [0001] The invention relates to the field of resident travel investigation and data processing and analysis, in particular to a method for predicting travel destinations using GPS (Global Satellite Positioning System) travel data. Background technique [0002] With the increasingly widespread application of GPS technology, data mining and application based on GPS technology has become a new hotspot in the field of transportation research. Car navigation equipment, mobile phone navigation software, etc. can obtain a large amount of GPS travel data, use these data to predict the travel destination before or during the trip, and provide the travel destination information to the traveler, which will save the traveler in the car navigation. The operation steps of inputting the travel destination in the device or mobile phone navigation software facilitate the query of the travel destination and route, and recommend the gas stations, shopping malls and other facili...

Claims

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Application Information

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IPC IPC(8): G01C21/36
CPCG01C21/3617
Inventor 宗芳何亚楠张慧永袁义欣路峰瑞齐厚成于萍吴挺吕建宇
Owner JILIN UNIV
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