Management of mobile objects

• US 10,339,810 B2
• Filed: 02/23/2018
• Issued: 07/02/2019
• 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
• Primary Examiner(s): Khatib, Rami
• Application Number:
  US15/903,084
• Publication Number:
  US 20180374358A1
• Time in Patent Office: 494 Days
• Field of Search: None
• 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 computer-implemented method comprising:

identifying, by an event agent (EA) of a plurality of EAs, an event occurring in a geographic space in which a plurality of mobile objects move, wherein the event agent handles all events occurring in a region of a plurality of regions of the geographic space, wherein identifying, by the event agent (EA), the event occurring in the geographic space in which the plurality of mobile objects move includes;

generating the event based on information comprising information from outside a system containing the EA and detection information that is detected by at least one mobile object among the plurality of mobile objects, wherein identifying, by the event agent (EA), the event occurring in the geographic space in which the plurality of mobile objects move further includes determining an expected event to be handled by at least one of a plurality of predictive environment agents (PEAs), wherein each of the plurality of PEAs is assigned a region of the geographic space, and determining the expected event to be handled by at least one of the plurality of PEAs is positioned in an adjacent region to the region of the EA, transmitting the expected event to an adjacent PEA assigned to the adjacent region;

determining the event is the expected event based on predicting time-series changes of the event handled by the EA, wherein determining the event is the expected event includes determining a plurality of the events correspond respectively to a plurality of future timings, wherein determining the event is the expected event includes updating the plurality of PEAs in response to reaching an earliest future timing among the plurality of future timings, according to passage of time, 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 the plurality of future timings updated with a future timing following the earliest future timing as an origin, wherein the EA and the plurality of PEAs are assigned for every same region in the geographic space; and

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

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;

deleting, from the PEA, an expected event that was completed;

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