MANAGEMENT OF MOBILE OBJECTS

• US 20180374356A1
• Filed: 06/21/2017
• Published: 12/27/2018
• Est. Priority Date: 06/21/2017
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Akiyama, Kazuhito, Fukuda, Mari Abe, Ogihara, Hiroya, Sasaki, Taku, Unno, Asuka, Yamamoto, Gaku
• Granted Patent: US 10,535,266 B2
• Time in Patent Office: Days
• CPC Class Codes: B60W 30/08 Active safety systems predicting or avoiding probable or impending collision or attempting to minimise its consequences
• CPC Class Codes: B60W 30/0953 the prediction being responsive to vehicle dynamic parameters
• CPC Class Codes: B60W 30/0956 the prediction being responsive to traffic or environmental parameters
• CPC Class Codes: G05D 1/021 specially adapted to land vehicles
• CPC Class Codes: G06F 16/489 using time information
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0145 for active traffic flow control
• CPC Class Codes: G08G 1/162 event-triggered
• CPC Class Codes: G08G 7/00 Traffic control systems for simultaneous control of two or more different kinds of craft

Abstract

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event.

Claims

1. A method comprising:

identifying, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move;

determining the event is an expected event based on predicting time-series changes of the event handled by the EA; and

managing, by a predictive environment agent (PEA), the expected event.

2. The method according to claim 1, wherein

determining the event is the expected event includes determining a plurality of the events correspond respectively to a plurality of future timings.

3. The method according to claim 2, wherein

determining the event is the expected event includes updating a plurality of PEAs in response to reaching an earliest future timing among the plurality of future timings, according to passage of time.

4. The method according to claim 3, wherein

updating the plurality of PEAs includes shifting the plurality of PEAs to be earlier in time series order, and reassigning the plurality of PEAs to a plurality of future timings updated with a future timing following the earliest future timing as an origin.

5. The method according to claim 2, wherein

identifying, by the event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move includes event generation of generating the event based on at least one of input information that is input from outside and detection information that is detected by at least one mobile object among the plurality of mobile objects.

6. The method according to claim 5, wherein

identifying, by the event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move further includes expected event determining the expected event to be handled by each of at least one of the plurality of PEAs, based on the event that is newly determined.

7. The method according to claim 6 further comprising:

determining a derived expected event that is predicted to derive from the generated expected event.

8. The method according to claim 6, wherein

the EA and a plurality of PEAs are assigned for every same region in the geographic space.

9. The method according to claim 8, wherein

determining the expected event to be handled by each of at least one of the plurality of PEAs in response to generation of one expected event, which is positioned in an adjacent region adjacent to a region to which one EA is assigned, corresponding to an event determined in the region according to processing of the one EA, transmitting the one expected event to an adjacent PEA assigned to an adjacent region.

10. The method according to claim 9, further comprising:

transmitting the one expected event generated based on determining the expected event to be handled by each of at least one of the plurality of PEAs in response to generation of one expected event to the adjacent PEA via an adjacent EA assigned to the adjacent region.

11. The method according to claim 10 further comprising:

deleting, from the PEA, an expected event that was completed or an expected event that did not actually occur in the geographic space.

12. A computer program product for managing mobile object, the computer program product comprising:

a computer-readable storage device and program instructions stored on computer-readable storage device, the program instructions comprising;

identifying, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move;

determining the event is an expected event based on predicting time-series changes of the event handled by the EA; and

managing, by a predictive environment agent (PEA), the expected event.

13. The computer program product according to claim 12, wherein

determining the event is the expected event includes determining a plurality of the events correspond respectively to a plurality of future timings.

14. The computer program product according to claim 13, wherein

determining the event is the expected event includes updating a plurality of PEAs in response to reaching an earliest future timing among the plurality of future timings, according to passage of time.

15. The computer program product according to claim 14, wherein

updating the plurality of PEAs includes shifting the plurality of PEAs to be earlier in time series order, and reassigning the plurality of PEAs to a plurality of future timings updated with a future timing following the earliest future timing as an origin.

16. The computer program product according to claim 13, wherein

determining the event is the expected event includes associating information including at least one of an expected movement direction, an expected movement speed, an existence probability, a dissipation probability, and a change probability with the expected event.

17. A computer system for managing mobile object, the computer system comprising:

a processor, a computer-readable tangible storage device, and program instructions stored on computer-readable tangible storage device for execution by the processor, the program instructions comprising;

identifying, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move;

determining the event is an expected event based on predicting time-series changes of the event handled by the EA; and

managing, by a predictive environment agent (PEA), the expected event.

18. The computer system according to claim 17, wherein

determining the event is the expected event includes determining a plurality of the events correspond respectively to a plurality of future timings.

19. The computer system according to claim 18, wherein

determining the event is the expected event includes updating a plurality of PEAs in response to reaching an earliest future timing among the plurality of future timings, according to passage of time.

20. The computer system according to claim 19, wherein

updating the plurality of PEAs includes shifting the plurality of PEAs to be earlier in time series order, and reassigning the plurality of PEAs to a plurality of future timings updated with a future timing following the earliest future timing as an origin.