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Mobile body distribution situation forecast device and mobile body distribution situation forecast method

A distribution status and forecasting device technology, which is applied to measuring devices, surveying and navigation, vehicle position indication, etc., can solve problems such as difficult to predict the number of customers, unable to cope with events, and deviations in prediction accuracy

Active Publication Date: 2020-06-16
HONDA MOTOR CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, in this prediction method, the prediction accuracy will be biased, and it cannot cope with unexpected events such as the holding of events in the surrounding area.
[0004] Also, when there are multiple facilities in a predetermined area (for example, a tourist attraction area), there is often a case where after staying at facility A, there is a case of moving between facilities such as another facility B, etc., in the above method, assuming this Difficult to predict the number of visiting customers when moving between facilities
In addition, it is difficult to take measures to relocate between facilities in order to activate the economy in a predetermined area

Method used

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  • Mobile body distribution situation forecast device and mobile body distribution situation forecast method
  • Mobile body distribution situation forecast device and mobile body distribution situation forecast method
  • Mobile body distribution situation forecast device and mobile body distribution situation forecast method

Examples

Experimental program
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no. 1 Embodiment approach

[0039] Below, refer to the attached Figure one Next, the moving body distribution situation prediction system 100 according to a preferred embodiment of the present invention will be described.

[0040] [Functional structure of the mobile body distribution situation prediction system 100]

[0041] Such as figure 1 As shown, the mobile body distribution state prediction system 100 is configured to include a server system 1, a car navigation device 2 mounted on a vehicle 5, a mobile terminal 3, a distribution state display terminal 4, and a communication network 7. Hereinafter, a vehicle 5 equipped with a communication device such as a car navigation device 2 or a vehicle 5 having a mobile terminal 3 for signal connection (pairing) with the vehicle 5 is referred to as a mobile body 6. In addition, unless otherwise specified, the car navigation device 2 and the mobile terminal 3 of the mobile body 6 that communicate with the server system 1 are collectively referred to as the "mobil...

Deformed example 1

[0305] As described above, in the mobile body distribution prediction system 100, the server system 1 (the inter-facility movement calculation unit 103) calculates the inter-facility movement-related information based on the mobile body category information of the mobile body 6, and the server system 1 ( The moving body distribution state prediction unit 104) predicts the distribution state of the moving body 6 after a predetermined time based on the moving body type information.

[0306] In addition, the distribution status display terminal 4 (moving body distribution status display unit 404) may also display the status of the mobile body 6 at the current time among all the mesh areas included in the surrounding area including the location of the facility Pj according to the mobile body category information. The distribution prediction status and the distribution prediction status of the moving body 6 after a certain period of time has elapsed are displayed on the display unit 44...

Deformed example 2

[0309] In the present embodiment, the moving body 6 that is the target of the movement distribution prediction is limited to the moving body 6 that moves between the facilities Pi and Pj (hereinafter referred to as the starting point and the destination point (arrival point)). "Migrating Moving Body 6"). Therefore, for example, the distribution prediction of the moving body 6 (hereinafter referred to as the "first moving body 6") that reaches the facility Pj from the home or outside the analysis target area with the facility Pj as the initial destination is omitted, but it may be The distribution prediction is performed to the "first moving body 6" of the facility Pj. In this way, together with the distribution prediction of the “migrating moving body 6” predicted by the server system 1 of the present embodiment, the “first moving body 6” can be included to predict, for example, visitors to the facility Pj.

[0310] The distribution prediction of the "first moving body 6" to the...

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Abstract

An objective of the present invention is to forecast a mobile body distribution situation after a prescribed time by forecasting an excursion action of a mobile body 6 on the basis of an inter-facility movement correlation of the mobile body 6. Provided is a server system 1 comprising: an inter-facility movement computation part 103 for computing a facility staying time estimate, an inter-facilitymovement time estimate, and an inter-facility movement correlation on the basis of a trend in past position information from the mobile body 6, a plurality of pieces of facility information, and mapinformation wherein a road map is included; a receiving part 101 for receiving present position information of a plurality of the mobile bodies 6; and a mobile body distribution situation forecast part 104 for forecasting the distribution situation of the mobile bodies after a prescribed time on the basis of the inter-facility movement correlation and the present position information of the plurality of mobile bodies 6.

Description

Technical field [0001] The present invention relates to a mobile body distribution state prediction device that predicts the migration action (excursion action) of a mobile body based on the distribution state of the mobile body, especially based on the movement correlation between facilities, and predicts the distribution state of the mobile body after a predetermined time accordingly And the method of predicting the distribution of moving objects. Background technique [0002] In facilities such as restaurants, museums, etc., it is an important issue to know the number of visitors in advance for preparations. Therefore, in the prior art, the operator or the clerk himself predicts the number of visiting customers based on actual performance on weekdays, weekends, holidays, etc., or predicts the number of visiting customers based on past experience based on changes in seasons and weather. [0003] However, in this prediction method, the prediction accuracy will be biased, and it c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00G08G1/13
CPCG08G1/0112G08G1/0129G08G1/143G08G1/148G08G1/065G01C21/3694G08G1/13G08G1/205
Inventor 福森穰杉本佳昭栗原匡
Owner HONDA MOTOR CO LTD
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