USING PUBLIC SAFETY DATA TO MANAGE A CRIMINAL EVENT RESPONSE

• US 20180033109A1
• Filed: 07/26/2016
• Published: 02/01/2018
• Est. Priority Date: 07/26/2016
• Status: Abandoned Application

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Fund, Robert J., Oliver, William J.
• Application Number:
  US15/219,671
• Publication Number:
  US 20180033109A1
• Time in Patent Office: Days
• CPC Class Codes: B64C 39/024 of the remote controlled vehicle type, i.e. RPV
• CPC Class Codes: B64U 2101/00 UAVs specially adapted for particular uses or applications
• CPC Class Codes: B64U 2101/31 for surveillance
• CPC Class Codes: G01C 21/3407 specially adapted for specific applications
• CPC Class Codes: G01C 21/3461 Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types, segments such as motorways, toll roads, ferries
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety

Abstract

Disclosed aspects relate to criminal event response management using a set of public safety data. An origin location of a criminal event can be received. The criminal event may have individual(s). Based on the origin location and the set of public safety data with respect to the criminal event a set of candidate target locations for the individual(s) can be identified. Using the origin location and the set of candidate target locations, a set of candidate routes—from the origin location to the set of candidate target locations—may be computed. Based on a set of relationships of the set of candidate routes, determination(s) may be made with respect to a set of predicted locations for the individual(s) and a set of suggested public safety officer positions. Accordingly, the set of predicted locations for the individual(s) and the set of suggested public safety officer positions may be provided.

Claims

1. A computer-implemented method for criminal event response management using a set of public safety data, the method comprising:

receiving an origin location of a criminal event having a set of individuals;

identifying, based on the origin location and the set of public safety data with respect to the criminal event, a set of candidate target locations for the set of individuals;

computing, using the origin location and the set of candidate target locations, a set of candidate routes from the origin location to the set of candidate target locations;

determining, based on a set of relationships of the set of candidate routes, a set of predicted locations for the set of individuals and a set of suggested public safety officer positions; and

providing the set of predicted locations for the set of individuals and the set of suggested public safety officer positions.

2. The method of claim 1, wherein identifying, based on the origin location and the set of public safety data with respect to the criminal event, the set of candidate target locations for the set of individuals includes:

examining the set of public safety data for residence data of a set of persons with a historical record corresponding to the criminal event within a threshold distance of the origin location.

3. The method of claim 2, wherein identifying, based on the origin location and the set of public safety data with respect to the criminal event, the set of candidate target locations for the set of individuals includes:

selecting a subset of the set of persons which have a physical description that corresponds to a reported physical description from the criminal event.

4. The method of claim 1, wherein the set of candidate target locations is selected from the group consisting of:

a set of freeway exits, a set of freeway on-ramps within a threshold proximity of the origin location, a set of city entrances, a set of city exits, a set of rental car facilities, a set of transportation facilities, a set of airports, a set of bus stops, and a set of train stops.

5. The method of claim 1, wherein the set of candidate routes is selected from the group consisting of:

a set of property exits from the origin location, a set of routes that uses a turn-propensity weight to indicate a right-hand turn likelihood which exceeds a left-hand turn likelihood, a specific route that uses a u-turn weight to indicate a threshold u-turn likelihood which exceeds a specific u-turn likelihood for the specific route, a set of road construction factors, and a batch of routes that uses a road-segment weight to indicate a major road-segment likelihood which exceeds a minor road-segment likelihood.

6. The method of claim 1, further comprising:

weighting, based on a mapping technique which indicates an overlapping route, the set of candidate routes; and

resolving, based on the weighting, the set of relationships which indicates a likelihood of travel.

7. The method of claim 6, wherein the mapping technique which indicates the overlapping route includes:

parsing a first set of geographical identifiers of a first route;

parsing a second set of geographical identifiers of a second route;

comparing the first and second set of geographical identifiers to indicate a hit count of a common geographical area; and

ascertaining, based on the comparing, the overlapping route.

8. The method of claim 1, wherein determining, based on the set of relationships of the set of candidate routes, the set of predicted locations for the set of individuals and the set of suggested public safety officer positions includes:

evaluating a set of temporal factors.

9. The method of claim 8, wherein the set of temporal factors is selected from the group consisting of:

a quantity of time since the criminal event, a set of estimated travel times, and a time of day.

10. The method of claim 1, wherein determining, based on the set of relationships of the set of candidate routes, the set of predicted locations for the set of individuals and the set of suggested public safety officer positions includes:

retrieving a set of dynamic traffic data;

analyzing the set of dynamic traffic data; and

formulating, using the analyzing, the set of predicted locations for the set of individuals and the set of suggested public safety officer positions.

11. The method of claim 1, wherein providing the set of predicted locations for the set of individuals and the set of suggested public safety officer positions includes:

presenting a set of visual indicators.

12. The method of claim 11, wherein presenting the set of visual indicators includes:

displaying a color-coded heat map.

13. The method of claim 12, wherein displaying the color-coded heat map includes:

modifying, in a dynamic fashion based on a set of updated information, the color-coded heat map to indicate a change in the set of predicted locations for the set of individuals and the set of suggested public safety officer positions.

14. The method of claim 1, further comprising:

weighting, based on a private location capture preference, the set of suggested public safety officer positions.

15. The method of claim 1, wherein set of relationships of the set of candidate routes includes:

comparing, with respect to proximity, a plurality of single candidate routes of the set of candidate routes;

calculating, based on the comparing, a set of probabilities for a set of segments of the set of candidate routes; and

establishing, based on the set of probabilities for the set of segments of the set of candidate routes, the set of relationships.

16. The method of claim 1, wherein the receiving, the identifying, the computing, the determining, and the providing each occur in an automated fashion without user intervention.

17. The method of claim 1, further comprising:

metering use of the criminal event response management; and

generating an invoice based on the metered use.

18. A system for criminal event response management using a set of public safety data, the system comprising:

a memory having a set of computer readable computer instructions, and

a processor for executing the set of computer readable instructions, the set of computer readable instructions including;

receiving an origin location of a criminal event having a set of individuals;

identifying, based on the origin location and the set of public safety data with respect to the criminal event, a set of candidate target locations for the set of individuals;

computing, using the origin location and the set of candidate target locations, a set of candidate routes from the origin location to the set of candidate target locations;

determining, based on a set of relationships of the set of candidate routes, a set of predicted locations for the set of individuals and a set of suggested public safety officer positions; and

providing the set of predicted locations for the set of individuals and the set of suggested public safety officer positions.

19. A computer program product for criminal event response management using a set of public safety data, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, wherein the computer readable storage medium is not a transitory signal per se, the program instructions executable by a processor to cause the processor to perform a method comprising:

receiving an origin location of a criminal event having a set of individuals;

identifying, based on the origin location and the set of public safety data with respect to the criminal event, a set of candidate target locations for the set of individuals;

computing, using the origin location and the set of candidate target locations, a set of candidate routes from the origin location to the set of candidate target locations;

determining, based on a set of relationships of the set of candidate routes, a set of predicted locations for the set of individuals and a set of suggested public safety officer positions; and

providing the set of predicted locations for the set of individuals and the set of suggested public safety officer positions.

20. The computer program product of claim 19, wherein at least one of:

the program instructions are stored in the computer readable storage medium in a data processing system, and wherein the program instructions were downloaded over a network from a remote data processing system;

or

the program instructions are stored in the computer readable storage medium in a server data processing system, and wherein the program instructions are downloaded over a network to the remote data processing system for use in a second computer readable storage medium with the remote data processing system.