ROUTING, ALERTING, AND TRANSPORTATION GUIDANCE BASED ON PREFERENCES AND LEARNED OR INFERRED RISKS AND DESIRABILITIES

• US 20100332131A1
• Filed: 06/26/2009
• Published: 12/30/2010
• Est. Priority Date: 06/26/2009
• Status: Active Grant

• Current Assignee: Microsoft Technology Licensing LLC (Microsoft Corporation)
• Original Assignee: Microsoft Corporation
• Inventors: Krumm, John, Horvitz, Eric
• Granted Patent: US 9,086,292 B2
• Time in Patent Office: Days
• US Class Current: 701/210
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3697 Output of additional, non-guidance related information, e.g. low fuel level G01C21/3679 takes precedence

Abstract

Techniques and systems are disclosed that provide a risk-based assessment for a user based on user location information. Incident data is acquired for incidents that involve potential risks (e.g., to people and/or property) from a plurality of locations and contexts, considering such factors as date, time, weather, traffic, and velocity. The incident data is matched to the user'"'"'s location and context directly or indirectly to provide one or more potential outcomes of interest (e.g., accidents, injuries, fatalities), and inferences regarding the likelihood of events are made available. These measures are compared to desired risk thresholds for the user. In one embodiment, routes, times, and conditions of travel may be preferred over others routes, times, and conditions. In another embodiment, users may be notified of a condition or a vehicle'"'"'s maximum velocity may be reduced when the matched incident data meets/exceeds a user'"'"'s risk threshold.

Claims

1. A method for providing a risk-based assessment for a user based on their location, executed via a processor on a computer comprising a memory whereon computer-executable instructions comprising the method are stored, the method comprising:

acquiring incident data that comprises information about incidents that involve potential risk for a plurality of locations;

matching incident data to data for a user'"'"'s location;

comparing the matched incident data with the user'"'"'s desired risk threshold; and

providing notification to the user of a condition when the matched incident data meets the user'"'"'s desired risk threshold.

2. The method of claim 1, acquiring incident data that comprises information about incidents comprising acquiring information about an incident that comprises one or more of:

a location of the incident;

a type of incident;

environmental conditions associated with the incident;

time, day and date when the incident occurred;

injuries associated with the incident;

fatalities associated with the incident;

suspected criminal activities associated with the incident;

known criminal activities associated with the incident;

circumstances associated with the incident;

results of investigations associated with the incident;

reports related to the incident; and

documentation related to the incident.

3. The method of claim 1, matching incident data to data for a user'"'"'s location comprising:

identifying the user'"'"'s location; and

identifying an incident location for the user'"'"'s location.

4. The method of claim 3, identifying the user'"'"'s location comprising one or more of:

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

identifying a user'"'"'s location from their planned route of travel; and

identifying a user'"'"'s location from their one or more potential routes of travel.

5. The method of claim 3, identifying an incident location for the user'"'"'s location comprising identifying an incident location that is within a desired incident location boundary from the user'"'"'s location.

6. The method of claim 1, comparing the matched incident data with the user'"'"'s desired risk threshold comprising comparing the matched incident data with a level of user risk tolerance for a type of matched incident based on the matched incident data.

7. The method of claim 1, comprising using risk unit measures to identify a likelihood of a risk-related event occurring, the risk unit measures comprising one or more of:

a measure of one or more risk attributes; and

a function of one or more risk attributes,

8. The method of claim 1, comparing the matched incident data with the user'"'"'s desired risk threshold comprising comparing respective incident data against one or more risk criteria for the user'"'"'s location.

9. The method of claim 1, providing notification to the user of a condition when the matched incident data meets the user'"'"'s desired risk threshold comprising providing notification to a user interface (UI) disposed on a computing device that a condition for the user'"'"'s location meets the desired risk threshold.

10. The method of claim 1, providing notification to the user of a condition when the matched incident data meets the user'"'"'s desired risk threshold comprising providing notification to a system that performs one or more of:

indicates that a route of a desired level of risk has been planned;

provides a risk factor metric to the user based on a selected location;

notifies the user that a condition for the user'"'"'s location meets the desired risk threshold; and

performs an automated function related to a condition for the user'"'"'s location meeting the desired risk threshold.

11. The method of claim 1, comprising:

building a predictive model for determining user risk-based notifications, comprising training the predictive model with risk-based incident information for a plurality of locations; and

using the predictive model to provide a user with risk-based notifications for a user location, comprising;

inputting data about user situation scenarios into the predictive model, comprising one or more of;

risk-based data for the user'"'"'s current situation;

risk-based data for the user'"'"'s one or more potential situations based on potential routes of travel from the user'"'"'s location; and

risk-based data for the user'"'"'s planned situations based on planned routes of travel and travel conditions;

matching risk-based incident data from one or more locations to risk-based data for the user situation scenario, comprising matching incident data from a first location to a second location based on matching criteria between the first and second locations; and

providing the user with alternative risk-based notifications based on alternative situation scenarios from the user'"'"'s current situation scenario.

12. The method of claim 8, providing notification to the user of a condition when the matched incident data meets the user'"'"'s desired risk threshold comprising providing different levels of notifications to the user based on one or more of:

a number of risk threshold criteria met by one or more incident data; and

a type of risk threshold criteria met by one or more incident data.

13. The method of claim 7, comprising:

determining a location risk metric for location based on one or more sets of incident data associated with the location using risk unit measures for one or more incident attributes;

determining the user'"'"'s desired risk threshold using risk unit measures for one or more incident attributes.

14. The method of claim 13, comprising mapping the plurality of incident locations and corresponding risk unit measures to a computer-based mapping system.

15. The method of claim 1, comprising inferring incident data from a first location to a second location based on matching criteria between the first and second locations.

16. A system for providing a risk-based assessment for a user based on their location, comprising:

an incident data storage component configured to store data about incidents that involve potential risk for a plurality of locations;

an incident location matching component operably coupled with the incident data storage component, and configured to match incident data to data for a user'"'"'s location;

an incident data comparison component operably coupled with the incident location matching component, and configured to compare the matched incident data with a desired risk threshold for the user; and

a user notification component configured to provide notification to the user of a condition when the matched incident data meets the user'"'"'s desired risk threshold.

17. The system of claim 16, incident location matching component comprising a user location identifier configured to:

identify the user'"'"'s location; and

identify an incident location that matches the user'"'"'s location.

18. The system of claim 16, the user notification component operably coupled to a user interface (UI) disposed on a computing device, and configured to provide a notification to the user that a condition for the user'"'"'s location meets the desired risk threshold.

19. The system of claim 16, comprising a mapping component configured to perform one or more of:

map the plurality of incident locations to a computer-based mapping system; and

provide incident data in a UI for an incident mapped to a computer-based mapping system.

20. A method for providing a risk-based assessment for a user based on their location, executed via a processor on a computer comprising a memory whereon computer-executable instructions comprising the method are stored, the method comprising:

acquiring data that comprises risk-based information about incidents that involve potential risk for a plurality of locations;

determining risk unit measures for the plurality of locations for one or more incident attributes;

mapping the plurality of incident locations and corresponding risk unit measures to a computer-based mapping system;

matching incident data to data for a user'"'"'s location comprising;

identifying the user'"'"'s location comprising one or more of;

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

identifying a user'"'"'s location from their planned route of travel; and

identifying a user'"'"'s location from their potential route of travel; and

identifying an incident location for the user'"'"'s location comprising identifying an incident location that is within a desired incident location boundary from the user'"'"'s location;

comparing the matched incident data with the user'"'"'s desired risk threshold comprising comparing the matched incident data with a level of user risk tolerance for a type of matched incident based on the matched incident data, the matched incident data and user risk tolerance comprising risk unit measures; and

providing notification to the user of a condition when the matched incident data meets the user'"'"'s desired risk threshold comprising providing notification to a user interface disposed on a computing device that a condition for the user'"'"'s location meets the desired risk threshold.