Online street safety map system displaying crime density and traffic accident data

• US 10,001,385 B2
• Filed: 06/25/2015
• Issued: 06/19/2018
• Est. Priority Date: 06/26/2014
• Status: Active Grant

• Current Assignee: Sang Jun Park
• Original Assignee: Sang Jun Park
• Inventors: Park, Sang Jun
• Primary Examiner(s): SOOFI, YAZAN A
• Application Number:
  US15/321,994
• Publication Number:
  US 20170131115A1
• Time in Patent Office: 1,090 Days
• Field of Search: 701454
• CPC Class Codes: G01C 21/3694 Output thereof on a road map
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/444 Spatial browsing, e.g. 2D maps, 3D or virtual spaces
• CPC Class Codes: G06Q 50/265 Personal security, identity or safety
• CPC Class Codes: G08G 1/09 Arrangements for giving variable traffic instructions railroad crossing signals B61L; reflectors E01F, G08B; indicating arrangements for variable information by selection or combination of individual elements G09F9/00
• CPC Class Codes: G09B 29/007 using computer methods

Abstract

An interactive street safety map system for internet, GPS, and mobile users is disclosed. The system is designed to identify crime and traffic accidents information at street level. Each street segment on the map indicates low to high density of crime and traffic accidents in different colors in order to improve public perception of safety on each of the streets displayed. The system includes crime and traffic accident data, and the system users can query the data for their interest locations, crime types, crime date and time of occurrence, and the number of crime incidents and traffic accidents. Ultimately, the online street safety map allows users to choose relatively low risk of crime and traffic accident streets for their own safety. The system harvests crime and traffic information data from police departments through Computer-Aided Dispatch (CAD), Recorded Management Systems (RMS), and other crime and traffic information sharing services.

Claims

1. An apparatus comprising:

a display;

a processor;

a network interface;

a GPS receiver; and

a memory storing processor executable instructions that, when executed by the processor, causes the apparatus to;

determine a user'"'"'s current location using the GPS receiver;

determine, based on the user'"'"'s current location, a map comprising a plurality of streets, wherein the plurality of streets are separated into a plurality of street segments based on intersections of the plurality of streets;

receive crime data that indicates a plurality of crimes that occurred at a plurality of locations;

determine, based on the received crime data and the determined map, a crime map that indicates a respective safety level of the plurality of street segments, wherein the respective safety level of each of the plurality of street segments is based on crimes that occurred adjacent to the respective street segment; and

transmit the crime map to the display.

2. The apparatus of claim 1, wherein the processor executable instructions further cause the processor to:

accumulate event data for a plurality of events associated with a closest street segment to the user'"'"'s location, and

determine the closest street segment, wherein the closest street segment indicates a number of crimes from the plurality of events.

3. The apparatus of claim 1, wherein the crime data is imported from a computer aided dispatch system ora recorded management system.

4. The apparatus of claim 1, wherein the crime data further comprises traffic accident event data.

5. The computer system apparatus of claim 2, wherein the crime data further comprises data indicating a type of event, and the processor executable instructions further cause the processor to:

accumulate event data matching a user selected type of event for the plurality of events associated with the closest street segment, and

determine the closest street segment, wherein the closest street segment indicates a number of events associated with the user selected type of event.

6. The apparatus of claim 2, wherein the event data further comprises a respective time associated with each of the plurality of events that indicates when the event occurred, and the processor executable instructions further cause the processor to:

accumulate event data matching a user selected time range for the plurality of events associated with the closest street segment, and

determine the closest street segment, wherein the closest street segment indicates a number of events associated with the selected time range.

7. A method comprising:

determining a user'"'"'s current location;

determining, a map comprising a plurality of streets, wherein the plurality of streets are separated into a plurality of street segments based on intersections of the plurality of streets;

determining, based on the user'"'"'s current location, a closest street segment of the plurality of street segments;

receiving crime data that indicates a plurality of crimes that occurred at a plurality of locations; and

determining, based on the received crime data and the closest street segment, a crime map that indicates a safety level of the closest street segment, wherein the safety level of the closest street segment is based on crimes that occurred adjacent to the closest street segment.

8. The method of claim 7, wherein the user'"'"'s current location is determined by a GPS receiver.

9. The method of claim 7, further comprising accumulating event data for a plurality of events associated with the closest street segment;

and determining the closest street segment, wherein the closest street segment indicates a number of the plurality of events accumulated.

10. The method of claim 7, wherein the crime data is imported from computer aided dispatch or recorded management systems.

11. The method of claim 7, wherein the crime data further comprises traffic accident event data.

12. The method of claim 9, wherein the event data further comprises data indicating a type of event, and the method further comprises:

accumulating event data matching a user selected type of event for the plurality of events associated with the closest street segment; and

determining a map that illustrates the closest street segment indicating the number of events associated with the user selected type of event.

13. The method of claim 9, wherein the event data further comprises a respective time associated with each of the plurality of events that indicates when the event occurred, and the method further comprises:

accumulating event data matching a user selected time range for the plurality of events associated with the closest street segment; and

determining a map that illustrates the closest street segment indicating a number of events associated with the selected time range.

14. A non-transient computer readable storage medium comprising a program that, when loaded in to memory and executed by a processor in a computer, causes the processor to:

determine a user'"'"'s current location;

determine, a map comprising a plurality of streets, wherein the plurality of streets are separated into a plurality of street segments based on intersections of the plurality of streets;

determine, based on the user'"'"'s current location, a closest street segment of the plurality of street segments;

receive crime data that indicates a plurality of crimes that occurred at a plurality of locations; and

determine, based on the received crime data and the closest street segment, a crime map that indicates a safety level of the closest street segment, wherein the safety level of the closest street segment is based on crimes that occurred adjacent to the closest street segment.

15. The computer readable storage medium of claim 14, wherein the program further causes the processor to:

accumulate event data for a plurality of events associated with the closest street segment; and

determine the closest street segment, wherein the closest street segment indicates a number of the plurality of events accumulated.

16. The computer readable storage medium of claim 15, wherein the event data further comprises data indicating a type of event, and the program further causes the processor to:

accumulate event data matching a user selected type of event for the plurality of events associated with the closest street segment; and

determine the closest street segment, wherein the closest street segment indicates a number of events associated with the user selected type of event.

17. The computer readable storage medium of claim 15, wherein the event data further comprises a respective time associated with each of the plurality of events that indicates when the event occurred, and the program further causes the processor to:

accumulate event data matching a user selected time range for the plurality of events associated with the closest street segment; and

determine the closest street segment, wherein the closest street segment indicates a number of events associated with the selected time range.

18. The computer readable storage medium of claim 14, wherein the user'"'"'s current location is determined by a GPS receiver.

19. The computer readable storage medium of claim 14, wherein the crime data is imported from a computer aided dispatch system or a recorded management system.

20. The computer readable storage medium of claim 14, wherein the crime data further comprises traffic accident event data.