Method and system for avoidance of parking violations

• US 10,275,788 B2
• Filed: 05/07/2018
• Issued: 04/30/2019
• Est. Priority Date: 12/02/2014
• Status: Active Grant

• Current Assignee: Operr Technologies, Inc.
• Original Assignee: Operr Technologies, Inc.
• Inventors: Wang, Kevin Sunlin
• Primary Examiner(s): Swarthout, Brent
• Application Number:
  US15/973,217
• Publication Number:
  US 20180276700A1
• Time in Patent Office: 358 Days
• Field of Search: None
• CPC Class Codes: G06Q 30/0217 involving input on products or services in exchange for incentives or rewards
• CPC Class Codes: G06Q 50/01 Social networking
• CPC Class Codes: G07B 15/02 taking into account a variable factor such as distance or time, e.g. for passenger transport, parking systems or car rental systems G07B15/06 takes precedence; taximeters G07B13/00; parking meters per se G07F17/24; car rental systems per se G07B15/00

Abstract

A system and method for identifying a potential parking violation for a location includes storing and rating parking violation related data, and notifying a user, by a computing system communicating with a user'"'"'s computing device, of the potential parking violation and how to avoid receiving the potential parking violation citation. The data is stored in a database and clustered by data types. The user'"'"'s computing device is used to identify user type, location, and time. A user engagement panel is used to share and rate parking violation related data and notifications, and rewards are allocated to a user for contributing useful data. Highly rated data may be incorporated into the notifications. The data is analyzed to predict or infer a violation. A notification corresponding to a current location and user type are generated when violations are predicted.

Claims

1. An electronic parking violation identification system for identifying a potential parking violation for a location, the system comprising:

a plurality of remote computing devices communicatively coupled to a network; and

a server communicatively coupled to the network for communicating with the remote computing devices, the server including at least one non-transitory computer-readable storage medium with computer-readable instructions stored therein, a database, and a processor for executing the computer-readable instructions to;

receive user data associated with a user from one of the plurality of remote computing devices, the user data comprising an identified location, an identified time, and a user type;

display on one or more display screens of the plurality of remote computing devices one or more user engagement panels for enabling one or more additional users to provide one or more ratings with respect to at least a portion of parking violation related data associated with at least the identified location, wherein the parking violation related data comprises at least one of location data associated with one or more parking violations, time data associated with one or more times of the one or more parking violations, one or more reasons for one or more parking violation citations occurring at the identified location, or one or more recommendations for avoiding the one or more parking violation citations at the identified location, wherein the one or more additional users have firsthand experience with the identified location, and wherein the firsthand experience is determined based on (i) a first notification, received by the one or more additional users, that is associated with the identified location, or (ii) the one or more additional users having come within a predetermined proximity of the identified location;

in response to the one or more ratings reaching a predetermined number, modify the database to include at least a portion of the parking violation related data rated via the one or more user engagement panels; and

generate a second notification including at least the parking violation related data corresponding to the identified location, the identified time, and the user type, wherein the second notification identifies a potential parking violation applicable to the user by inference.

2. The system according to claim 1, wherein the user type corresponds to one or more data type comprising at least one of commercial vehicle, non-commercial vehicle, type of vehicle, type of vehicle plate, motorcycle, or bicycle.

3. The system according to claim 1, wherein the processor further executes the computer-readable instructions to:

analyze the parking violation related data to predict a potential parking violation applicable to the user by inference,

wherein the inference is based on at least one of;

(i) at least one relevant parking location;

(ii) at least one relevant parking time;

(iii) at least one relevant parking location corresponding to at least one predetermined time frame, wherein the identified time is within the predetermined time frame;

or

(iv) at least two parking violation citations previously issued for at least two parking locations for violating a parking prohibition, wherein the identified location is between the at least two parking locations having a predetermined distance from each other and correspond to at least one relevant parking time, and wherein each of the at least two parking locations is associated with a same type of parking violation citation.

4. The system according to claim 1, wherein the firsthand experience is determined by receiving location data generated by a global positioning system (GPS) receiver of:

(i) one of the plurality of remote computing devices corresponding to a location of one of the one or more additional user, or

(ii) a navigation system in a vehicle of the one or more additional user.

5. The system according to claim 1, wherein the processor further executes the computer-readable instructions to:

track, using a GPS receiver, location data and time data of the one or more additional users; and

store in the database the location data and the time data, wherein the location data and the time data identify the tracked locations and times of the one or more additional users.

6. The system according to claim 5, wherein the processor further executes the computer-readable instructions to:

responsive to receiving the one or more ratings from the one or more additional users, retrieve the stored location data and the stored time data associated with the one or more additional users,

wherein the firsthand experience is determined based on the retrieved location and time data for the one or more additional users.

7. The system according to claim 1, wherein the processor further executes the computer-readable instructions to:

receive the one or more ratings of at least a portion of the notification from the one or more additional users via the one or more user engagement panels; and

in response to the one or more ratings at least partially confirming the at least a portion of the notification, issue a reward to a particular user who shared the at least a portion of the additional parking violation related data, wherein the reward is one of a monetary reward or a non-monetary reward.

8. The system according to claim 1, wherein the processor further executes the computer-readable instructions to:

collect, via the one or more user engagement panels, crowdsourced parking violation related data;

receive the one or more ratings of at least a portion of the crowdsourced parking violation related data from the one or more additional users via the one or more user engagement panels; and

in response to the one or more ratings of the portion of the crowdsourced data reaching a predetermined number, modify the database to include at least a portion of the crowdsourced parking violation related data collected through one or more user engagement panels.

9. The system according to claim 8, wherein the processor further executes the computer-readable instructions to:

in response to receiving a predetermined number of confirmations of the portion of the crowdsourced parking violation related data, issue a reward to the one or more additional users for providing the crowdsourced parking violation related data, wherein the reward is one of a monetary reward or a non-monetary reward.

10. The system according to claim 9, wherein the crowdsourced parking violation related data collected via the one or more user engagement panels includes additional parking violation related data not previously stored in the database, and

wherein the one or more user engagement panels are configured to enable a plurality of users to exchange with one another the additional parking violation related data.

11. An electronic parking violation identification method for identifying a potential parking violation for a location, comprising:

receiving user data associated with a user from one of a plurality of remote computing devices communicatively coupled to a network, the user data comprising an identified location, an identified time, and a user type;

displaying on one or more display screens of the plurality of remote computing devices one or more user engagement panels for enabling one or more additional users to provide one or more ratings with respect to at least a portion of parking violation related data associated with at least the identified location, wherein the parking violation related data comprises at least one of location data associated with one or more parking violations, time data associated with one or more times of the one or more parking violations, one or more reasons for one or more parking violation citations occurring at the identified location, or one or more recommendations for avoiding the one or more parking violation citations at the identified location, wherein the one or more additional users have firsthand experience with the identified location, and wherein the firsthand experience is determined based on (i) a first notification, received by the one or more additional users, that is associated with the identified location, or (ii) the one or more additional users having come within a predetermined proximity of the identified location;

in response to the one or more ratings reaching a predetermined number, modify a database to include at least a portion of the parking violation related data rated via the one or more user engagement panels; and

generating a second notification including at least the parking violation related data corresponding to the identified location, the identified time, and the user type, wherein the second notification identifies a potential parking violation applicable to the user by inference.

12. The method according to claim 11, wherein the user type corresponds to one or more data type comprising at least one of commercial vehicle, non-commercial vehicle, type of vehicle, type of vehicle plate, motorcycle, or bicycle.

13. The method according to claim 11, further comprising:

analyzing the parking violation related data to predict a potential parking violation applicable to the user by inference,

wherein the inference is based on at least one of;

(i) at least one relevant parking location;

(ii) at least one relevant parking time;

(iii) at least one relevant parking location corresponding to at least one predetermined time frame, wherein the identified time is within the predetermined time frame;

or

(iv) at least two parking violation citations previously issued for at least two parking locations for violating a parking prohibition, wherein the identified location is between the at least two parking locations having a predetermined distance from each other and correspond to at least one relevant parking time, and wherein each of the at least two parking locations is associated with a same type of parking violation citation.

14. The method according to claim 11, wherein the firsthand experience is determined by receiving location data generated by a GPS receiver of:

(i) one of the plurality of remote computing devices corresponding to a location of one of the one or more additional users, or

(ii) a navigation system in a vehicle of the one or more additional users.

15. The method according to claim 11, further comprising:

tracking, using a GPS receiver, location data and time data of the one or more additional users; and

storing in the database the location data and the time data, wherein the location data and the time data identify the tracked locations and times of the one or more additional users.

16. The method according to claim 15, further comprising:

responsive to receiving the one or more ratings from the one or more additional users, retrieving the stored location data and the stored time data associated with the one or more additional users,

wherein the firsthand experience is determined based on the retrieved location and time data for the one or more additional users.

17. The method according to claim 11, further comprising:

receiving the one or more ratings of at least a portion of the notification from one or more additional users via the one or more user engagement panels; and

in response to the one or more ratings at least partially confirming the at least a portion of the notification, issuing a reward to a particular user who shared the at least a portion of the additional parking violation related data, wherein the reward is one of a monetary reward or a non-monetary reward.

18. The method according to claim 11, further comprising:

collecting, via the one or more user engagement panels, crowdsourced parking violation related data;

receiving the one or more ratings of at least a portion of the crowdsourced parking violation related data from the one or more additional users via the one or more user engagement panels; and

in response to the one or more ratings of the portion of the crowdsourced data reaching a predetermined number, modify the database to include at least a portion of the crowdsourced parking violation related data collected through the one or more user engagement panels.

19. The method according to claim 18, further comprising:

in response to receiving a predetermined number of confirmations of the portion of the crowdsourced parking violation related data, issue a reward to the one or more additional users for providing the crowdsourced parking violation related data, wherein the reward is one of a monetary reward or a non-monetary reward.

20. The method according to claim 19, wherein the crowdsourced parking violation related data collected via the one or more user engagement panels includes additional parking violation related data not previously stored in the database, and

wherein the one or more user engagement panels are configured to enable a plurality of users to exchange with one another the additional parking violation related data.