PREDICTIVE PARKING

• US 20140058711A1
• Filed: 08/22/2012
• Published: 02/27/2014
• Est. Priority Date: 08/22/2012
• Status: Abandoned Application

• Current Assignee: Inrix Incorporated
• Original Assignee: Inrix Incorporated
• Inventors: Scofield, Christopher L.
• Application Number:
  US13/591,665
• Publication Number:
  US 20140058711A1
• Time in Patent Office: Days
• US Class Current: 703/6
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• CPC Class Codes: G08G 1/143 inside the vehicles
• CPC Class Codes: G08G 1/144 on portable or mobile units, e.g. personal digital assistant [PDA]
• CPC Class Codes: G08G 1/146 where the parking area is a limited parking space, e.g. parking garage, restricted space
• CPC Class Codes: G08G 1/147 where the parking area is within an open public zone, e.g. city centre

Abstract

Among other things, one or more techniques and/or systems are provided for predicting a state of a parking location (e.g., occupied or vacant). A correlation between modeling variables (e.g., weather, proximity to a location, a calendar of events, sensor data, etc.) and a possible state of the parking location may be modeled. The state of a parking location may then be predicted using the model and current values for one or more variables (e.g., used to develop the model). In one embodiment, representations of one or more parking locations may be displayed on a map and may be marked with indicators (e.g., colors) that indicate a likelihood of the respective parking locations having parking availability, or the number of parking spots that are available (e.g., where a parking location may be a parking garage having multiple parking spots), (e.g., yellow indicating low parking availability, green indicating substantial parking availability).

Claims

1. A method, comprising:

receiving a modeling variable associated with a first parking location; and

modeling a correlation between the modeling variable and a possible state of the first parking location.

2. The method of claim 1, comprising receiving a state of the first parking location given the modeling variable.

3. The method of claim 1, comprising predicting a state of a second parking location based at least in part on the modeled correlation.

4. The method of claim 3, comprising receiving a predicting variable, the predicting based at least in part on the predicting variable.

5. The method of claim 1, the received modeling variable based at least in part on one or more of:

real-time data from a sensor associated with the first parking location;

at least one of a time, a day, a week, a month, or a year associated with a parking state prediction;

a weather condition;

a physical proximity to one or more locations;

or

a temporal proximity to one or more events.

6. A method, comprising:

predicting a state of a parking location based at least in part on a correlation between a variable and a possible state of the parking location.

7. The method of claim 6, the variable corresponding to one or more vehicles driving in an area near the parking location.

8. The method of claim 7, the variable indicative of at least some of the one or more vehicles driving for a period of time greater than a first threshold.

9. The method of claim 7, the variable indicative of at least some of the one or more vehicles driving past a same location more than a threshold number of times.

10. The method of claim 6, the predicted state associated with a time after the predicting.

11. The method of claim 6, the state corresponding to either vacant or occupied.

12. The method of claim 6, the parking location corresponding to a parking venue comprising a plurality of parking locations, the predicted state of the parking location indicative of at least one of:

a number of parking locations within the parking venue that are vacant;

or

a proportion of parking locations within the parking venue that are vacant.

13. The method of claim 6, comprising predicting the state based upon a second variable when the variable is determined to be deficient.

14. The method of claim 13, the second variable comprising historical data.

15. The method of claim 14, the historical data comprising data associated with a time temporally before the predicting.

16. The method of claim 15, the historical data not comprising real-time data.

17. A system, comprising:

a prediction component configured to predict a state of a parking location based at least in part on a correlation between a variable and a possible state of the parking location.

18. The system of claim 17, the variable corresponding to one or more vehicles driving in an area near the parking location.

19. The system of claim 17, the prediction component configured to predict the state based upon a second variable when the variable is determined to be deficient.

20. A method, comprising:

receiving a set of variables comprising a first variable and a second variable, the first variable associated with a first parking location, the second variable associated with a second parking location;

comparing the first variable with the second variable;

removing the second variable from the set of variables based at least in part upon the comparing.

21. The method of claim 20, the comparing comprising determining that the second variable indicates that the second parking location is open at one or more times when the first variable indicates that the first parking location is occupied.

22. The method of claim 20, comprising after the removing, modeling a correlation between the set of variables and one or more states associated with the first parking location.

23. The method of claim 20, the comparing comprising using one or more statistical methods.

24. The method of claim 20, the set of variables comprising a third variable, the method comprising comparing the third variable to the second variable, the removing based at least in part upon the comparing the third variable to the second variable.

25. A method, comprising:

providing a map comprising one or more representations of one or more parking locations; and

marking at least some of the one or more representations with one or more indicators based on one or more of;

a likelihood of one or more parking spots comprised in at least one of the one or more parking locations being one or more of determined or predicted to be one or more of available or occupied;

a number of one or more parking spots comprised in at least one of the one or more parking locations that are one or more of determined or predicted to be one or more of available or occupied;

or

a proportion of one or more parking spots comprised in least one of the one or more parking locations that are one or more of determined or predicted to be one or more of available or occupied.

26. The method of claim 25, the one or more indicators comprising one or more colors.

27. The method of claim 25, the one or more representations comprising a first representation of a first parking location and a second representation of a second parking location, the first representation marked with a first indicator, the second representation marked with a second indicator.

28. The method of claim 27, the first indicator associated with a greater likelihood of availability than the second indicator.

29. The method of claim 27, the first indicator associated with a first color, the second indicator associated with a second color different than the first color.

30. The method of claim 25, the one or more indicators associated with a likelihood of availability at an expected time of arrival.