DRIVER MOVEMENT ANALYSIS

• US 20160364739A1
• Filed: 06/09/2015
• Published: 12/15/2016
• Est. Priority Date: 06/09/2015
• Status: Abandoned Application

• Current Assignee: Inrix Incorporated
• Original Assignee: Inrix Incorporated
• Inventors: Dann, Steve, Lavee, Uri
• Application Number:
  US14/734,419
• Publication Number:
  US 20160364739A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration
• CPC Class Codes: G06Q 50/10 Services
• CPC Class Codes: G08G 1/00 Traffic control systems for road vehicles arrangement of road signs or traffic signals E01F9/00 ; automatic vehicle control B62D
• 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 1/015 with provision for distinguishing between two or more types of vehicles, e.g. between motor-cars and cycles
• CPC Class Codes: G08G 1/017 identifying vehicles G08G1/015, G08G1/054 take precedence
• CPC Class Codes: G08G 1/065 by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
• CPC Class Codes: G08G 1/207 with respect to certain areas, e.g. forbidden or allowed areas with possible alerting when inside or outside boundaries

Abstract

One or more techniques and/or systems are provided for analyzing driver movement. For example, map data is evaluated to identify a point of interest such as a car dealership. A geofence zone is defined to encompass the point of interest within the map (e.g., the car dealership, a parking lot for the car dealership, etc.). Location data, such as global positioning system data, of vehicles is evaluated to determine a count of vehicles that encountered the geofence zone. A visitor count of drivers that visited the car dealership is determined based upon the count of vehicles (e.g., vehicles that remained within the geofence zone for a threshold amount of time indicative of a visit). Driver demographics, vehicle type distributions, and/or other information is determined for the point of interest and/or other points of interest (e.g., distributions of vehicle types that visit the car dealership compared to a local body shop).

Claims

1. A method for analyzing driver movement, comprising:

evaluating map data to identify a point of interest within a map;

defining a geofence zone encompassing the point of interest within the map;

evaluating locational data of vehicles to determine a count of vehicles that encountered the geofence zone; and

determining a visitor count of drivers that visited the point of interest based upon the count of vehicles.

2. The method of claim 1, comprising:

applying a temporal constraint to the locational data of vehicles; and

defining the visitor count as a count of drivers that visited the point of interest during a timespan corresponding to the temporal constraint.

3. The method of claim 1, comprising:

determining a route of a vehicle that encountered the geofence zone;

identifying a position along the route as a home of a driver of the vehicle; and

determining a demographic of the driver based upon a location of the home.

4. The method of claim 3, the determining a demographic comprising:

identifying a zip code of the home; and

evaluating demographic information of the zip code to determine an income demographic for the driver.

5. The method of claim 1, comprising:

determining a demographic of a driver of a vehicle that encountered the geofence zone, the demographic comprising at least one of a gender, age, occupation, or social network information of the driver.

6. The method of claim 1, comprising:

determining a route of a vehicle that encountered the geofence zone;

identifying a position along the route corresponding to an employer of a driver of the vehicle; and

determining a demographic of the driver based upon the employer.

7. The method of claim 1, the point of interest corresponding to a business, a retailer, or a restaurant.

8. The method of claim 1, comprising:

evaluating the map data to identify a second point of interest within the map;

defining a second geofence zone as encompassing the second point of interest within the map;

evaluating the locational data of vehicles to determine a second count of vehicles that encountered the second geofence zone; and

determining a second visitor count of drivers that visited the second point of interest.

9. The method of claim 8, comprising:

determining a distribution of drivers that visited the point of interest in comparison to the second point of interest.

10. The method of claim 1, comprising:

determining that a vehicle encountered the geofence zone; and

identifying a timespan spent by a driver of the vehicle at the point of interest.

11. The method of claim 1, the determining a visitor count of drivers comprising:

determining at least one of an enter zone count or an exit zone count.

12. The method of claim 1, comprising:

determining that a vehicle encountered the geofence zone;

identifying a driver of the vehicle; and

specifying that the driver has an interest in a consumer good or service provided by a business located at the point of interest.

13. The method of claim 12, comprising:

identifying an advertisement as corresponding to the interest; and

displaying the advertisement through at least one of a user interface, a mobile alert, an email, a vehicle navigation unit, or a website to the driver.

14. The method of claim 1, the point of interest comprising a business, and the method comprising:

identifying at least one of a segment of drivers that visit the business, a buying preference of the segment of drivers, a vehicle type of vehicles used to travel to the business, or a peak visit time for the business based upon the visitor count of drivers.

15. The method of claim 1, comprising:

determining a distribution of vehicle types of vehicles that encountered the geofence zone.

16. The method of claim 1, comprising:

determining a route of a vehicle that encountered the geofence zone;

identifying a location, along the route, visited by the vehicle; and

specifying a waypoint correlation between the location and the point of interest.

17. A system for analyzing driver movement, comprising:

a driver movement analyzer configured to;

evaluate map data to identify a point of interest within a map;

define a geofence zone encompassing the point of interest within the map;

evaluate locational data of vehicles to determine a count of vehicles that encountered the geofence zone; and

determine a visitor count of drivers that visited the point of interest based upon the count of vehicles.

18. The system of claim 17, the driver movement analyzer configured to:

determine a demographic of a driver of a vehicle that encountered the geofence zone, the demographic comprising at least one of a zip code, an income, a gender, an age, an occupation, or social network information of the driver.

19. The system of claim 17, the driver movement analyzer configured to:

evaluate the map data to identify a second point of interest within the map;

define a second geofence zone encompassing the second point of interest within the map;

evaluate the locational data of vehicles to determine a second count of vehicles that encountered the second geofence zone;

determine a second visitor count of drivers that visited the second point of interest; and

determine a distribution of drivers that visited the point of interest in comparison to the second point of interest.

20. A computer readable medium comprising instructions which when executed perform a method for analyzing driver movement, comprising:

evaluating map data to identify a point of interest within a map;

defining a geofence zone encompassing the point of interest;

evaluating locational data of vehicles to determine a count of vehicles that encountered the geofence zone;

determining a visitor count of drivers that visited the point of interest based upon the count of vehicles; and

determining a demographic of a driver of a vehicle that encountered the geofence zone, the demographic comprising at least one of a zip code, an income, a gender, an age, an occupation, or social network information of the driver.