Method and system for legal parking

• US 10,395,535 B2
• Filed: 06/08/2017
• Issued: 08/27/2019
• 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): Lau, Hoi C
• Application Number:
  US15/617,881
• Publication Number:
  US 20180357900A1
• Time in Patent Office: 810 Days
• Field of Search: 3409322, 340934, 34087003, 34080702, 70140001, 701117, 705 1339, 705418
• CPC Class Codes: G06Q 20/00 Payment architectures, schemes or protocols apparatus for performing or posting payment transactions G07F7/08, G07F19/00; electronic cash registers G07G1/12
• CPC Class Codes: G06Q 20/0855 involving a third party
• CPC Class Codes: G06Q 20/127 Shopping or accessing services according to a time-limitation
• 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
• CPC Class Codes: G07F 17/246 provided with vehicle proximity-detectors detecting hidden masses, e.g. metal detectors, G01V, e.g. G01V3/00; proximity switches per se H03K17/00; traffic control systems G08G1/00
• CPC Class Codes: G07G 1/01 Details for indicating displaying information in general G09F, G09G
• 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 1/147 where the parking area is within an open public zone, e.g. city centre

Abstract

A method and system for identifying potentially available legal parking and generating notifications thereof is provided. The system receives location information from a user'"'"'s computing device and queries the database for legal parking related data relevant to the time, location, and user type, which is categorized by data type. The system precludes illegal and occupied parking locations from identification as potentially available legal parking locations based on user type. Illegal parking locations are determined based on parking prohibitions directly applicable or applicable by inference to the user. The system generates one or more notifications comprising the legal parking related data and transmits them to the user'"'"'s computing device. The user can interact with the system through a user engagement panel to provide legal parking related data. Data submitted through the user engagement panel is subject to ratings from additional users, and can be used to update the database.

Claims

1. A computer-implemented system for identifying potentially available legal parking, the system comprising:

a server communicatively coupled to a plurality of remote computing devices associated with a plurality of users via a network, wherein the plurality of remote computing devices include one or more location identifiers configured to generate location data corresponding to one or more locations, and wherein the server includes at least one non-transitory computer-readable storage medium with computer-readable instructions stored therein, a database for storing legal parking related data, and a processor for executing the computer-readable instructions to;

receive from the plurality of remote computing devices, the legal parking related data, wherein the legal parking related data is defined as having a particular data type comprising at least one of;

commercial vehicle, non-commercial vehicle, type of vehicle, or type of vehicle plate;

store the legal parking related data in the database;

track a location and a speed of a first of the plurality of remote computing devices associated with a first user of the plurality of users;

identify based on the speed and the location, that the first user is not moving;

determine, by the processor, a period of time that the first user has not been moving;

compare the period of time with a predetermined threshold period of time;

automatically determine that the first user is parked in the location;

preclude the location from identification in the database as one of one or more potentially available legal parking locations;

receive, from a second of the plurality of remote computing devices associated with a second user, user data associated with the second user, the user data comprising an identified location of a second user, a present time of the second user, user related data, or a user type of the second user;

retrieve, from the database, at least a portion of the legal parking related data corresponding to the user data associated with the second user;

identify one or more potentially available legal parking locations for the second user based on at least one of;

(i) the user data or (ii) the portion of the legal parking related data; and

transmit, to the second user, real-time parking availability data at one or more locations comprising at least one of;

(1) the one or more potentially available legal parking locations, (2) one or more illegal parking locations, or (3) one or more unavailable locations.

2. The system according to claim 1, wherein the legal parking related data comprises at least one of:

parking violation related data or parking availability data,

wherein the parking violation related data comprises at least one of;

parking rules, parking regulations, parking violation records, parking violation codes, parking violation statutory codes, one or more abbreviations used by parking enforcement personnel, associated fines or other penalties, parking signage with one or more locations, parking meter locations and associated parking meter costs, street view with one or more photos or videos for one or more locations with a predetermined number of parking violation citations, notice of one or more temporary or permanent parking prohibitions, tow away zone relevant data, street cleaning relevant data, or weather relevant data, and

wherein the computing system additionally receives the legal parking related data from one or more sources selected from the group comprising;

one or more additional users, government agencies, non-government organizations, private entities, community organizations, media sources, and other interested individuals.

3. The system according to claim 1, wherein the user type comprises at least one of:

commercial vehicle user type, non-commercial vehicle user type, user type based on vehicle type, user type based on vehicle plate type, motorcyclist type, or cyclist type.

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

predict one or more potential parking prohibitions directly applicable to the second user based on at least one of;

(i) parking violation related data including a location identical to the identified one or more illegal parking locations;

(ii) parking violation related data including a point in time identical to the present time;

or (iii) parking violation related data including a location identical to the illegal parking location, the location corresponding to the point in time identical to the present time;

identify the one or more illegal parking locations based on at least one of;

(i) the user type, or (ii) the one or more parking prohibitions applicable to the second user based on the user data; and

preclude the one or more illegal parking locations from identification as the one or more potentially available legal parking locations.

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

predict one or more potential parking prohibitions applicable to the second user by inference based on at least one of;

(i) one or more relevant parking locations;

(ii) one or more relevant parking times;

or (iii) the one or more relevant parking locations corresponding to the one or more relevant parking times, wherein the inference is based on at least one or more previously issued parking violation citations issued for a same type of parking violation;

identify one or more illegal parking locations based on at least one of;

(i) the user type or (ii) the one or more parking prohibitions applicable to the second user by inference; and

preclude the one or more illegal parking locations from identification as the one or more potentially available legal parking locations.

6. The system according to claim 5, wherein the inference is based on at least one of:

(i) at least two relevant parking locations corresponding to one relevant parking time, wherein each of the at least two relevant parking locations has at least one previously issued parking violation citation for violating the one or more parking prohibitions, wherein the one or more illegal parking locations are between the at least two relevant parking locations, and wherein the at least two relevant parking locations are at a predetermined distance from each other;

(ii) at least two relevant parking times corresponding to one relevant parking location, wherein each of the at least two relevant parking times has the at least one previously issued parking violation citation for violating said one or more parking prohibitions, wherein the present time is between the at least two relevant parking times, wherein the at least two relevant parking times are within a predetermined time frame, and wherein each relevant parking time of the at least two relevant parking times is based on at least one or more time period selected from the group comprising;

a point in time, a time frame, a time of day, a time of week, a time of month, and a time of year;

or

(iii) the at least two relevant parking locations corresponding to the at least two relevant parking times, and wherein the identified location is between the at least two relevant parking locations at a predetermined distance from each other corresponding to the present time being between the at least two relevant parking times within a predetermined time frame.

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

receive the legal parking related data from the plurality of users through at least one or more user engagement panels displayed on the plurality of remote computing devices.

8. The system according to claim 7, wherein the legal parking related data for a specific parking location received from the at least one user engagement panel is subject to ratings from one or more additional users,

wherein at least a part of the legal parking related data in the database is modified:

upon the ratings reaching a predetermined number or immediately upon identification of the legal parking related data as time-sensitive legal parking related data, and

wherein the time-sensitive legal parking related data comprises a notice of one or more temporary parking prohibitions.

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

display the real-time parking availability data in one or more notifications customizable based on at least one of;

a time the one or more notifications are issued, a distance to an intended destination, an amount of time before the second user reaches the intended destination, a form of the one or more notifications, a number of times the one or more notifications are requested, content of the one or more notifications, or a location where the one or more notifications are issued.

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

receive, from the plurality of remote computing devices, parking unavailability data corresponding to one or more unavailable locations;

modify the database to include the parking unavailability data; and

preclude the one or more unavailable locations corresponding to the parking unavailability data from being identified as one of the one or more potentially available legal parking locations for the second user.

11. A computer-implemented system for identifying potentially available legal parking, the system comprising:

a server communicatively coupled to a plurality of remote computing devices associated with a plurality of users via a network, wherein the plurality of remote computing devices include one or more location identifiers configured to generate location data corresponding to one or more locations, and wherein the server includes at least one non-transitory computer-readable storage medium with computer-readable instructions stored therein, a database for storing legal parking related data, and a processor for executing the computer-readable instructions to;

receive, from the plurality of remote computing devices, the legal parking related data from the plurality of users through the plurality of remote computing devices, wherein the legal parking related data is defined as having a particular data type comprising at least one of;

commercial vehicle, non-commercial vehicle, type of vehicle, or type of vehicle plate, and wherein the legal parking related data for a specific parking location is subject to ratings from one or more additional users;

store, the legal parking related data in the database;

modify at least a portion of the legal parking related data in the database upon the ratings reaching a predetermined number; and

transmit at least the portion of the legal parking related data to a user.

12. The system according to claim 11, wherein the processor further executes the computer-readable instructions to:

identify a leaving intent of the user or one or more additional users leaving a parking location based on at least one of;

(i) manual input from the user or the one or more additional users, or (ii) automatic detection of a speed and location of the user or the one or more additional users; and

identify the parking location as one of one or more potentially available parking locations.

13. The system according to claim 11, wherein the processor further executes the computer-readable instructions to:

receive manual input from the user or from one or more additional users identifying a parking location and a status as being parked in the parking location;

update the legal parking related data in the database for the parking location; and

identify the parking location as unavailable.

14. The system according to claim 11, wherein the legal parking related data comprises at least one of:

parking violation related data or parking availability data,

wherein the parking violation related data comprises at least one of;

parking rules, parking regulations, parking violation records, parking violation codes, parking violation statutory codes, one or more abbreviations used by parking enforcement personnel, associated fines or other penalties, parking signage with one or more locations, parking meter locations and associated parking meter costs, street view with one or more photos or videos for one or more locations with a predetermined number of parking violation citations, notice of one or more temporary or permanent parking prohibitions, tow away zone relevant data, street cleaning relevant data, or weather relevant data, and

wherein the legal parking related data is additionally received from one or more sources selected from the group comprising;

one or more users, government agencies, non-government organizations, private entities, community organizations, media sources, and other interested individuals.

15. The system according to claim 11, wherein the processor further executes the computer-readable instructions to:

receive, from a remote computing device associated with the user, user data comprising an identified location of the user, a present time, user related data, or a user type of the user, wherein the user type comprises at least one of;

commercial vehicle user type, non-commercial vehicle user type, user type based on vehicle type, user type based on vehicle plate type, motorcyclist type, or cyclist type;

identify one or more potentially available legal parking locations for the user based on at least one of;

(i) the user data or (ii) the legal parking related data; and

display, to the user, real-time parking availability data at one or more locations comprising at least one of;

(1) the one or more potentially available legal parking locations, (2) one or more illegal parking locations, or (3) one or more unavailable locations.

16. The system according to claim 15, wherein the processor further executes the computer-readable instructions to:

predict one or more potential parking prohibitions directly applicable to the user based on at least one of;

(i) parking violation related data including a location identical to the one or more illegal parking locations;

(ii) parking violation related data including a point in time identical to the present time;

or (iii) parking violation related data including a location identical to an illegal parking location;

identify one or more illegal parking locations based on at least one of;

(i) the user type, or (ii) the one or more parking prohibitions applicable to the user based on the user data; and

preclude the one or more illegal parking locations from identification as the one or more potentially available legal parking locations.

17. The system according to claim 11, wherein the processor further executes the computer-readable instructions to:

predict one or more potential parking prohibitions applicable to the user by inference based on at least one of;

(i) one or more relevant parking locations;

(ii) one or more relevant parking times;

or (iii) the one or more relevant parking locations corresponding to the one or more relevant parking times, wherein the inference is based on at least one or more previously issued parking violation citations issued for a same type of parking violation;

identify one or more illegal parking locations based on at least one of;

(i) the user type or (ii) the one or more parking prohibitions applicable to the user by inference; and

preclude the one or more illegal parking locations from identification as the one or more potentially available legal parking locations.

18. The system according to claim 17, wherein the inference is based on at least one of:

(i) at least two relevant parking locations corresponding to one relevant parking time, wherein each of the at least two relevant parking locations has at least one previously issued parking violation citation for violating the one or more parking prohibitions, wherein the one or more illegal parking locations are between the at least two relevant parking locations, and wherein the at least two relevant parking locations are at a predetermined distance from each other;

(ii) at least two relevant parking times corresponding to one relevant parking location, wherein each of the at least two relevant parking times has the at least one previously issued parking violation citation for violating said one or more parking prohibitions, wherein the present time is between the at least two relevant parking times, wherein the at least two relevant parking times are within a predetermined time frame, and wherein each relevant parking time of the at least two relevant parking times is based on at least one or more time period selected from the group comprising;

a point in time, a time frame, a time of day, a time of week, a time of month, and a time of year;

or

(iii) the at least two relevant parking locations corresponding to the at least two relevant parking times, and wherein the identified location is between the at least two relevant parking locations at a predetermined distance from each other corresponding to the present time being between the at least two relevant parking times within a predetermined time frame.

19. The system according to claim 11, wherein the processor further executes the computer-readable instructions to:

receive the legal parking related data through at least one or more user engagement panels displayed on the plurality of remote computing devices; and

receive the ratings from the one or more additional users through the at least one or more user engagement panels.

20. The system according to claim 19, wherein at least a part of the legal parking related data in the database is modified immediately upon identification of the legal parking related data as time-sensitive legal parking related data, and wherein the time-sensitive legal parking related data comprises a notice of one or more temporary parking prohibitions.

21. A computer-implemented system for identifying potentially available legal parking, the system comprising:

a server communicatively coupled to a plurality of remote computing devices associated with a plurality of users via a network, wherein the plurality of remote computing devices include one or more location identifiers configured to generate location data corresponding to one or more locations, and wherein the server includes at least one non-transitory computer-readable storage medium with computer-readable instructions stored therein, a database for storing legal parking related data, and a processor for executing the computer-readable instructions to;

receive, from the plurality of remote computing devices, the legal parking related data, wherein the legal parking related data is defined as having a particular data type comprising at least one of;

commercial vehicle, non-commercial vehicle, type of vehicle, or type of vehicle plate;

store the legal parking related data in the database;

enable one or more additional users having firsthand experience with an identified location to provide a rating of at least a portion of the legal parking related data associated with the identified location, wherein the firsthand experience is identified as passing or having passed within a predetermined distance of the identified location;

modify at least the portion of the legal parking related data in the database upon the ratings reaching a predetermined number; and

allocate a monetary or non-monetary reward to one or more users who provided the portion of the legal parking related data upon the portion of the legal parking related data receiving a predetermined number of the ratings.

22. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

display real-time parking availability data to a user in one or more notifications customizable based on at least one of;

a time the one or more notifications are issued, a distance to an intended destination, an amount of time before the user reaches the intended destination, a form of the one or more notifications, a number of times the one or more notifications are requested, content of the one or more notifications, or a location where the one or more notifications are issued.

23. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

receive, from the plurality of remote computing devices, parking unavailability data corresponding to one or more unavailable locations; and

modify the database to include the parking unavailability data.

24. The system according to claim 23, wherein the processor further executes the computer-readable instructions to:

preclude the one or more unavailable locations corresponding to the parking unavailability data from being identified as one of one or more potentially available legal parking locations.

25. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

compare parking rules or regulations applicable to the identified location (i) with the parking rules or regulations applicable to a location where a driver'"'"'s license of a user was issued, or (ii) with the parking rules or regulations applicable to another location requested by the user, and display a difference as determined by the comparing, and

display the difference to the user automatically based on a present location of the user, or upon receiving a request for the difference from the remote computing device of the user.

26. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

identify a leaving intent of a user or one or more additional users leaving a parking location based on at least one of;

(i) manual input from the user or the one or more additional users, or (ii) automatic detection of a speed and location of the user or the one or more additional users; and

identify the parking location as one of the one or more potentially available parking locations based on type of vehicle and type of vehicle plate.

27. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

receive manual input from a user or from one or more additional users identifying a parking location and a status as being parked in the parking location; and

update the legal parking related data in the database for the parking location and identify the parking location as unavailable.

28. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

track a location and a speed of a user or of the one or more additional users;

identify, based on the speed and the location, that the user or the one or more additional users are not moving;

determine a period of time that the user or the one or more additional users have not been moving;

compare the period of time with a predetermined threshold period of time;

automatically determine that the user or the one or more additional users is parked in the location; and

preclude the location from identification in the database as one of the one or more potentially available legal parking locations.

29. The system according to claim 21, wherein the processor further executes the computer-readable instructions to:

enable the one or more additional users having firsthand experience with the identified location to provide a rating of the legal parking related data through one or more user engagement panels.

30. The system according to claim 29, wherein the processor further executes the computer-readable instructions to:

allocate a monetary or non-monetary reward to one or more users who provided the legal parking related data through at least one or more user engagement panels upon the legal parking related data reaching the predetermined number of the ratings.