Supercharge Your Innovation With Domain-Expert AI Agents!

Path prediction system, path prediction method, and program

A prediction system and prediction method technology, applied in directions such as road network navigators, can solve problems such as inability to make predictions

Inactive Publication Date: 2013-07-17
DENSO CORP
View PDF6 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The conventional route prediction method as described above can predict the route with high accuracy in the section traveled in the past, but cannot perform the prediction in the section that has not been traveled in the past.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Path prediction system, path prediction method, and program
  • Path prediction system, path prediction method, and program
  • Path prediction system, path prediction method, and program

Examples

Experimental program
Comparison scheme
Effect test

no. 1 Embodiment approach ）

[0027] figure 1 It is a figure which shows the structure of the route prediction system of 1st Embodiment. In this embodiment, an example is given in which the result of the route prediction performed by the route prediction system is used in regeneration control.

[0028] The route prediction system includes an in-vehicle device 10 mounted on a vehicle, and a route prediction device 30 that collects travel history data from the in-vehicle device 10 and performs route prediction based on the travel history data. The vehicle-mounted device 10 is installed in a plurality of vehicles, respectively. The in-vehicle device 10 and the route prediction device 30 are wirelessly connected via a network. The route prediction device 30 collects travel history data of a plurality of vehicles. In addition, when there is a route prediction request from the vehicle-mounted device 10 , the route prediction device 30 calculates the predicted route through the route calculation unit 33 , and ...

no. 2 Embodiment approach ）

[0047] Next, a route prediction system according to the second embodiment will be described. The basic configuration of the route prediction system of the second embodiment is the same as that of the route prediction system of the first embodiment. In the route prediction system of the second embodiment, the route calculation method performed by the route calculation unit 33 is different from that of the first embodiment.

[0048] Figure 7 is a flowchart showing the operation of the route prediction device 30 . When the route calculation unit 33 of the route prediction device 30 receives the vehicle identifier and current position data transmitted from the vehicle-mounted device 10 ( S30 ), it reads the travel history data of all vehicles from the travel history DB 32 ( S32 ).

[0049] Next, the route calculation unit 33 calculates the predicted route of the target vehicle based on the travel history data of all the vehicles ( S34 ). Specifically, the weight coefficient α ...

no. 3 Embodiment approach ）

[0052] Next, a route prediction system according to a third embodiment will be described. The basic configuration of the route prediction system of the third embodiment is the same as that of the route prediction system of the first embodiment. The route prediction system of the third embodiment differs from the first embodiment in that vehicle type data is stored in the travel history DB 32 of the route prediction device 30 .

[0053] Figure 8 It is a diagram showing an example of data stored in the travel history DB 32 of the route prediction device 30 . Such as Figure 8 As shown, in addition to the driving history data of each vehicle, data of the type of each vehicle is also stored.

[0054] Figure 9 is a flowchart showing the operation of the route prediction device 30 . When the route calculation unit 33 of the route prediction device 30 receives the vehicle identifier and the current position data transmitted from the vehicle-mounted device 10 (S10), it reads th...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention relates to a path prediction system, a path prediction method, and a program. The path prediction system can predict path containing non-driving intervals in the past, and has a driving history storing unit (32) for storing driving history data of each vehicle; a current position detecting unit (11) for detecting current positions of target vehicles of path prediction; a path predicting unit (33) for obtaining driving history data of the target vehicle and driving history data of other vehicles different from the target vehicle from the driving history storing unit (32), and determining predicting path of the target vehicle based on the driving history data of the target vehicle, driving history data of other vehicles and the current position; and a data output unit (31) for outputting the predicted path determined by the path predicting unit (33).

Description

technical field [0001] The present invention relates to a route prediction system, a route prediction method, and a program for predicting a route traveled by a vehicle. Background technique [0002] Conventionally, a system for predicting a vehicle's travel path is known. For example, Japanese JP-2009-109275A discloses a route derivation device capable of improving the derivation accuracy of a predicted route. The device predicts a future driving route based on past driving history. [0003] The purpose of this device is to eliminate the problem that the driving histories of other drivers become noise in route prediction when a plurality of drivers use one vehicle. Specifically, the device is characterized by having a specifying unit that specifies a driver, and performs route prediction based on the past driving history of the specified driver. [0004] The conventional route prediction method as described above can accurately predict a route in a section traveled in th...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01C21/26G01C21/34
Inventor 伊藤靖之水野伸洋
Owner DENSO CORP
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com