SYSTEM AND METHOD FOR SELECTING PATH ACCORDING TO SELECTION CONDITIONS

• US 20160162484A1
• Filed: 12/05/2014
• Published: 06/09/2016
• Est. Priority Date: 12/05/2014
• Status: Active Grant

• Current Assignee: Yuan Ze University
• Original Assignee: Yuan Ze University
• Inventors: YAMASHITA, REIJO, Yamashita, Hiroki, Yao, Hsiu-Hsen
• Granted Patent: US 9,739,622 B2
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles

Abstract

A system and method for selecting a path according to a plurality of selection conditions are disclosed, where a vehicle traveling history data stored in the plurality type of driving data recorder (DDR) databases established previously are analyzed, and then a plurality type of DDR databases are screened out by further referring to a plurality of type ratios provided by the user are screened out, and then a desired path is selected.

Claims

1. A system for selecting a path according to a plurality of selection conditions, comprising:

a plurality type of driving data recorder (DDR) databases, each storing a plurality of paths from each of a plurality of path nodes to another of the plurality of path nodes and a set of vehicle traveling history data for the plurality of paths, the set of vehicle traveling history data corresponding to one of the plurality of selection conditions;

a receiving module, receiving an initial path node, an end path node, and a set of type ratios, the set of type ratios having a plurality of ratios each corresponding to one of the plurality type of DDR databases;

a querying module, querying the set of vehicle traveling history data according to the initial path node to the end path node and the plurality of paths corresponding thereto from each of the plurality type of DDR databases;

a calculating module, calculating the set of vehicle traveling history data for each of the plurality of paths stored in each of the plurality type of DDR databases to obtain a calculation result, respectively, and providing a type calculation data for each of the plurality of paths according to the calculation result, respectively; and

a path providing module, normalizing the set of type ratios and the type calculation data of the plurality of paths corresponding to each of the plurality type of DDR databases, respectively, calculating an average mix rank for each of the plurality of paths by giving a weight to normalized the type calculation data, and sorting the plurality of paths according to the average mix rank, so that a user is able to select path.

2. The system as claimed in claim 1, wherein the calculating module sorts the vehicle traveling history data of each of the plurality of paths according to the plurality type of DDR databases, to obtain a ranking result, respectively, and calculating an average rank of each of the plurality of paths to calculate the type calculation data according to the ranking result, respectively, and the path providing module sorts the plurality of paths according to a weighting calculation on the set of type ratios and the average rank of the plurality of paths corresponding to the plurality type of DDR databases, respectively, calculates the average mix rank of the plurality of paths according to the sorting result, respectively, and sorts the plurality of paths according to the average mix rank thereof, so as to provide the user to select path.

3. The system as claimed in claim 1, wherein the vehicle traveling history data comprises a vehicle traveling time, a vehicle traveling oil consuming and a vehicle traveling indicator which is calculated correspondence with one of the plurality of paths.

4. The system as claimed in claim 3, wherein the vehicle traveling indicator which is correspondence with one of the plurality of paths is obtained by analyzing synthetically a vehicle speed data, a vehicle traveling back-and-forth acceleration data, a braking behavior data, an engine rotation speed data, a steering wheel rotation data, a vehicle angular-speed data, a vehicle traveling lateral-acceleration data, a vehicle traveling longitudinal-acceleration data in a vehicle traveling course.

5. The system as claimed in claim 1, wherein the calculating module further deletes the vehicle traveling history data which is discrete and excluded which is set for each of the plurality of paths and then calculates the vehicle traveling history data for each of the plurality of paths according to each of the plurality type of the DDR databases.

6. A method for selecting a path according to a plurality of selection conditions, comprising steps of:

providing a plurality type of driving data recorder (DDR) databases, each storing a plurality of paths from each of a plurality of path nodes to another of the plurality of path nodes and a set of vehicle traveling history data for the plurality of paths, the set of vehicle traveling history data corresponding to one of the plurality of selection conditions;

receiving an initial path node, an end path node, and a set of type ratios, the set of type ratios having a plurality of ratios each corresponding to one of the plurality type of DDR databases;

querying the set of vehicle traveling history data according to the initial path node to the end path node and the plurality of paths corresponding thereto from each of the plurality type of DDR databases;

calculating the set of vehicle traveling history data for each of the plurality of paths stored in each of the plurality type of DDR databases to obtain a calculation result, respectively, and providing a type calculation data for each of the plurality of paths according to the calculation result, respectively; and

normalizing the set of type ratios and the type calculation data of the plurality of paths corresponding to each of the plurality type of DDR databases, respectively, calculating an average mix rank for each of the plurality of paths by giving a weight to normalized the type calculation data, and sorting the plurality of paths according to the average mix rank, so that a user is able to select path.

7. The method as claimed in claim 6, wherein the step of calculating the set of vehicle traveling history data for each of the plurality of paths stored in each of the plurality type of DDR databases to obtain the calculation result, respectively, and providing the type calculation data for each of the plurality of paths according to the calculation result, respectively, comprises steps of:

sorting the vehicle traveling history data of each of the plurality of paths according to the plurality type of DDR databases, to obtain a ranking result, respectively, and calculating an average rank of each of the plurality of paths to calculate the type calculation data according to the ranking result, respectively;

wherein the set of type ratios are determined by user or the set of type ratios are default.

8. The method as claimed in claim 6, wherein the vehicle traveling history data comprises a vehicle traveling time, a vehicle traveling oil consuming, a vehicle traveling 3-dimension acceleration data and a vehicle traveling indicator which is calculated correspondence with one of the plurality of paths.

9. The method as claimed in claim 8, wherein the vehicle traveling indicator correspondence with one of the plurality of paths is obtained by analyzing synthetically a vehicle speed data, a vehicle traveling back-and-forth acceleration data, a braking behavior data, an engine rotation speed data, a steering wheel rotation data, a vehicle angular-speed data, a vehicle traveling lateral-acceleration data, a vehicle traveling longitudinal-acceleration data in a vehicle traveling course.

10. The method as claimed in claim 6, wherein the step of calculating the set of vehicle traveling history data for each of the plurality of paths stored in each of the plurality type of DDR databases to obtain a calculation result, respectively, and providing a type calculation data for each of the plurality of paths according to the calculation result, respectively further comprises a step of deleting the vehicle traveling history data which is discrete and excluded which is set for each of the plurality of paths and then calculates the vehicle traveling history data for each of the plurality of paths according to each of the plurality type of the DDR databases.