Method and system for avoidance of parking violations

• US 9,997,071 B2
• Filed: 12/16/2016
• Issued: 06/12/2018
• 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:
  US15/382,240
• Publication Number:
  US 20170098376A1
• Time in Patent Office: 543 Days
• Field of Search: 701117
• CPC Class Codes: G01C 21/3685 the POI's being parking facilities
• 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: 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 1/052 with provision for determining speed or overspeed speed measuring in general G01P
• CPC Class Codes: G08G 1/096716 where the received information does not generate an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 where the origin of the information is a central station
• CPC Class Codes: G08G 1/148 Management of a network of parking areas

Abstract

A system for providing parking guidance includes storing historical parking violation related data correlated to real-time, parking violation related data, where a central computing system communicates with a user'"'"'s computing device for notifying a user how to avoid receiving parking violation citations. The data is stored in a unified database, where the data is clustered by data types and by type of vehicle or type of vehicle plate. The user'"'"'s computing device is used to identify parking intent, and a location determining apparatus identifies a current location of the user. A user engagement panel is used to share parking violation related data, where rewards are allocated to a user for contributing useful data, which are rated. Highly rated data is incorporated into notifications. The data is analyzed to predict a violation. A notification corresponding to the current location and user type are generated when violations are predicted.

Claims

1. A method for providing parking violation avoidance guidance, the method comprising:

utilizing a computing system in communication with a user and a plurality of additional users through a plurality of computing devices;

utilizing at least one database in communication with the computing system and configured to store parking violation related data;

clustering the parking violation related data into data types comprising at least one of commercial vehicle, non-commercial vehicle, type of vehicle, or type of vehicle plate;

identifying a time, a date, a location, and a user type associated with a user;

analyzing the parking violation related data to predict a potential parking violation using the identified location, the identified time, the identified date, and the parking violation related data;

generating at least one notification including at least a portion of the parking violation related data corresponding to the identified location and the user type of the user; and

transmitting the at least one notification to the user.

2. The method according to claim 1, further comprising:

receiving positive ratings or negative ratings for the parking violation related data from the user or a set of the plurality of additional users having firsthand experience with the identified location.

3. The method according to claim 2, further comprising:

identifying the firsthand experience as passing or having passed within a predetermined distance from the identified location, or identifying the firsthand experience as receiving or having received the at least one notification.

4. The method according to claim 2, further comprising:

issuing, upon the at least one notification receiving, a predetermined number of the positive ratings, a reward to a particular user who shared the parking violation related data included in the at least one notification.

5. The method according to claim 1, further comprising:

issuing a reward responsive to the shared parking violation related data including a reason or a recommendation, and the reason or the recommendation receiving a predetermined number of positive ratings.

6. The method according to claim 1, further comprising:

analyzing the parking violation related data to predict the potential parking violation, wherein the potential parking violation is directly applicable to the user.

7. The method according to claim 6, wherein the parking violation directly applicable to the user is predicted based on at least one of:

(i) the parking violation related data including a location identical to the identified location;

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

or (iii) the parking violation related data including a location identical to the identified location corresponding to a point in time identical to the identified time.

8. The method according to claim 1, further comprising:

analyzing, the parking violation related data to predict the potential parking violation, wherein the potential parking violation is applicable to the user by inference.

9. The method according to claim 8, wherein the inference is based on at least one of:

(i) at least one relevant parking location;

(ii) at least one relevant parking time;

or (iii) at least one relevant parking location corresponding to at least one relevant parking time.

10. The method according to claim 8, wherein the inference is based on at least two parking violation citations previously incurred at at least two parking locations for violating a parking prohibition.

11. The method according to, claim 10, wherein the identified location is between the at least two parking locations, and

wherein the at least two parking locations are at a predetermined distance from each other.

12. The method according to claim 10, wherein the inference is based on the at least two parking times corresponding to one relevant parking time, and

wherein each of the at least two parking times is associated with at least one parking violation citation for violating a parking prohibition.

13. The method according to claim 10, wherein the inference is based on at least one parking violation citation previously incurred for violating the parking prohibition at the identified time of the user,

wherein the at least one previously incurred parking violation citation at the identified time is within a predetermined time frame based on the at least one parking rule or regulation, and

wherein the identified time is within the predetermined time frame.

14. The method according to claim 1, further, comprising:

identifying a parking intent of the user based on a current speed of a vehicle of the user and a predetermined proximity to an intended destination as preset by the user,

wherein upon identification of the parking intent of the user, the at least one notification is issued to the user with the portion of the parking violation related data.

15. The method according to claim 1, further comprising:

utilizing at least one user engagement panel configured to allow at least one additional user to share additional parking violation related data; and

clustering the additional parking violation related data shared by the at least one additional user according to the user type of each additional user, the user type comprising at least one of commercial vehicle user, non-commercial vehicle user, user type based on vehicle, or user type based on vehicle plate.

16. The method according to claim 1, further comprising:

clustering into the data types the parking violation related data for a specific parking location shared by the user or the plurality of additional users through at least one user engagement panel.

17. The method according to claim 16, wherein the shared parking violation related data comprises at least one of:

(i) a parking violation citation not currently stored in the database;

(ii) a suggestion for avoiding receiving a parking violation citation;

(iii) a recommendation for disputing the parking violation citation;

or (iv) a redesign of parking signage relating to plain language meaning, content clarification, or language translation.

18. The method according to claim 16, wherein the parking violation related data associated with, the specific parking location is subject to ratings from a set of the plurality of additional users having firsthand experience, and

wherein the at least one user engagement panel automatically displays the parking violation related data based on the identified location.

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

modifying at least a part of the parking violation related data when the ratings of the parking violation related data for the specific parking location shared by the user or the plurality of additional users reaches a predetermined number.

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

identifying the parking violation related data as time-sensitive; and

modifying at least a part of the parking violation related data in the database immediately,

wherein the time-sensitive parking violation related data comprises at least a portion of a notice of temporary parking prohibition, or other time-sensitive parking violation related data.

21. The method according to claim 20, further comprising:

removing the time-sensitive parking violation related data from the database when the at least one notification having the time-sensitive parking violation related data reach receives a predetermined number of negative ratings.

22. The method according to claim 1, further comprising:

acquiring additional parking violation related data from at least one source comprising the user, the plurality of additional users, at least one other interested individual, a government agency, a non-government organization, a private entity, a community organization, or media.

23. The method according to claim 1, wherein the at least one notification is generated at least according to a preference of the user, and comprises at least a portion of:

at least one parking rule or regulation applicable to the identified location of the user, parking signage applicable to the identified location, parking meter locations and associated parking meter costs, a total number of previously issued parking related violation citations for the identified location, a street view with a photo or video for at least one location having a predetermined number of previously issued parking violation citations, or at least one reason for previously issued parking violation citations.

24. The method according to claim 23, wherein the preference is based on at least one of:

content of the at least one notification, a time or a time frame of the at least one notification, or at least one location identified by the user; and

wherein the at least one reason for the total number of previously issued parking related violation citations comprises at least a portion of;

no stopping anytime, no standing anytime, no parking anytime, no parking during indicated hours, metered parking, street cleaning, active driveway, bus stop, tire hydrant, tow away zone, or any other temporary or permanent parking prohibition.

25. The method according to claim 1, further comprising:

collecting tow away zone information comprising at least one of;

a time frame when parking is illegal at the identified location and when a vehicle of the user may be towed, or a distance where parking is illegal and where the vehicle may be towed.

26. The method according to claim 1, wherein the at least one notification further comprises tow away information comprising information about tow away zones comprising relevant information about one of towing companies, costs, or other penalties associated with a vehicle being towed, the information about the tow away zones delivered to the user as part of the at least one notification or made accessible to the user through at least one user engagement panel.

27. The method according to claim 1, further comprising:

modifying historical parking violation related data included in the parking violation related data based on real-time parking violation related data or other historical parking violation related data.

28. The method according to claim 1, further comprising:

utilizing a clock mechanism in communication with the plurality of computing devices for determining the identified time and the identified date;

utilizing a location determining apparatus in communication with the plurality of computing devices for determining the identified location; and

utilizing a display apparatus in communication with the computing system and configured to display the at least one notification to the user.

29. The method according to claim 1, wherein the transmitting of the at least one notification to the user includes communicating with the user via a display apparatus configured to display the at least one notification in a format based on at least one of:

audio, video, text, text-based, text-based message, image, street view image, or any combination thereof.

30. The method according to claim 1, further comprising:

transmitting the at least one notification to the plurality of additional users through the plurality of computing devices.

31. The method according to claim 1, wherein at least one of the following applies for the data type corresponding to the user type:

the commercial vehicle data type at least corresponds to a commercial vehicle user type;

the non-commercial vehicle data type at least corresponds to a non-commercial vehicle user type;

the data type based on type of vehicle at least corresponds to a user type based on type of vehicle;

the data type based on type of vehicle plate at least corresponds to a user type based on type of vehicle plate;

a motorcyclist data type at least corresponds to a motorcyclist user type;

a bicyclist data type at least corresponds to a bicyclist user type;

or

a pedestrian data type at least corresponds to a pedestrian user type.

32. The method according to claim 1, wherein at least one of the plurality of computing devices is integrated within an onboard vehicle computing, system including at least a display apparatus configured to display the at least one notification to the user.

33. A system or providing parking violation avoidance guidance, the system comprising:

a computing system having at least one processor in communication with a user and a plurality of additional users through a plurality of computing devices, wherein the at least one processor is configured to;

store and cluster parking violation related data in a database into data types comprising at least one of;

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

identify a time, a date, a location, and a user type associated with the user;

analyze the parking violation related data applicable to the user directly or applicable to the user by inference to predict a potential parking violation using the identified location, the identified time, the identified date, and the parking violation related data;

generate at least one notification including at least a portion of the parking violation related data corresponding to the identified location and the user type of the user; and

transmit the at least one notification to the user.

34. The system according to claim 33, wherein the at least one processor is further configured to:

modify at least a portion of the parking violation related data with additional parking violation related data not previously stored in the database.

35. The system according to claim 34, wherein the at least one processor is further configured to:

incorporate at least the portion of the additional parking violation related data into the at least one notification, wherein the at least one notification is subject to ratings by a set of the plurality of additional users having, firsthand experience.

36. The system according to claim 35, wherein the firsthand experience is identified as passing or having passed within a predetermined distance of a location identified in the notification, and wherein the ratings are provided by the set of the plurality of additional users having, the firsthand experience through a user engagement panel.

37. The system according to claim 35, wherein the at least one processor is further configured to:

responsive to the portion of the at least one notification receiving a first predetermined number of positive ratings, issue a reward to a particular user who shared the portion of the additional parking violation related data incorporated into the at least one notification.

38. The system according to claim 37, wherein the portion of the parking violation related data is modified based on the positive ratings reaching a second predetermined number.

39. The system according to claim 33, wherein the at least one processor is further configured to:

analyze the parking violation related data to predict a parking violation directly applicable to the user.

40. The system according to claim 33, wherein the parking violation directly applicable to the user is predicted based on at least one of:

(i) the parking violation related data including a respective location identical to the identified location;

or (ii) the parking violation related data including a respective time identical to the identified time;

or (iii) the parking violation related data including a respective location identical to the identified location corresponding to a respective time identical to the present time.

41. The system according to claim 33, wherein the at least one processor is further configured to:

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

42. The system according to claim 41, wherein the inference is based on at least one of:

(i) at least one relevant parking location;

(ii) at least one relevant parking time;

or (iii) at least one relevant parking location corresponding to at least one relevant parking time.

43. The system according to claim 41, wherein the inference is based on at least two parking violation citations previously issued at at least two parking locations for violating a parking prohibition.

44. The system according to claim 43, wherein the identified location is between the at least two parking locations, and

wherein the at least two parking locations are at a predetermined distance from each other.

45. The system according to claim 43, wherein the inference is based on the at least two parking locations corresponding to one relevant parking time, and

wherein each of the at least two parking locations is associated with at least one parking violation citation for violating the parking prohibition.

46. The system according to claim 41, wherein the inference is based on at least one parking violation citation previously issued for violating the parking prohibition at the identified location and within a predetermined time frame, and the inference is based on at least one parking rule or regulation, and wherein the identified time is within the predetermined time frame.

47. The system according to claim 33, wherein the at least one, processor is further configured to:

identify a parking intent of the user based on a current speed of a vehicle of the user and a predetermined proximity to an intended destination as preset by the user, and

wherein upon identification of the parking intent of the user, the at least one notification is issued to the user.

48. The system according to claim 33, further comprising:

at least one user engagement panel configured to at least collect the parking violation related data from the user or the plurality of additional users.

49. The system according to claim 33, wherein the at least one processor is further configured to:

cluster, into the data types, the parking violation related data for a specific parking location collected from the user or from a set of the plurality of additional users through at least one user engagement panel.

50. The system according to claim 49, wherein the parking violation related data associated with the specific parking location is subject to ratings by the plurality of additional users through the at least one user engagement panel, and wherein responsive to the ratings, at least a portion of the parking violation related data associated with the specific parking location is automatically displayed to the user based on the identified location.

51. The system according to claim 49, wherein the parking violation related data is stored in the database, and wherein the at least one processor is further configured to:

modify at least a portion of the parking violation related data in the database according to the parking violation related data associated with the specific parking location based on the ratings reaching a predetermined number.

52. The system according to claim 51, wherein the parking violation related data associated with the specific parking location comprises at least one of real-time parking violation related data or historical parking violation related data.

53. The system according to claim 33, wherein the at least one processor is further configured to:

cluster data associated with the user or the plurality of additional users by user type, the user type comprising at least one of commercial vehicle user, non-commercial vehicle user, vehicle type user, or vehicle plate user.

54. The system according to claim 33, wherein the at least one notification is generated based on a preference of the user, and comprises at least one parking rule or regulation applicable to the identified location, parking signage applicable to the identified location of the user, parking meter locations, parking meter costs, a total number of previously issued parking violation citations for the identified location, a street view with at least one photo or video for a location having a predetermined number of previously issued parking violation citations, or at least one reason for a previously issued parking related violation citation.

55. The system according to claim 54, wherein the preference is based on at least one of:

content of the at least one notification, time or time frame of the at least one notification, or one or more locations identified by the user.

56. The system according to claim 33, wherein the parking violation related data comprises at least one of:

at least one parking rule or regulation, a parking violation record, a parking violation code, a parking violation statutory code, at least one abbreviation used by parking enforcement personnel, an associated fine or other penalty, parking signage with at least one location, a parking meter location, a parking meter cost, a street view with a photo or video for at least one location with at least a predetermined number of parking violation citations, a notice of temporary or permanent parking prohibition, tow away zone information, or other parking violation related data, and

wherein the at least one processor is further configured to gather at least the parking violation related data from at least one source selected from the group comprising the user, the plurality of additional users, an interested individual, a government agency, a government agency website, a website, a non-government organization, a private, entity, a community organization, and media.

57. The system according to claim 33, wherein the parking violation related data includes historical parking violation related data subject to modification by real-time parking violation related data or other historical parking violation related data.

58. The system according to claim 33, wherein the at least one notification further comprises at least one of:

a time frame when parking is illegal at the identified location;

a time frame when a vehicle of the user may be towed;

a distance within which parking is illegal;

or

a distance within which a vehicle of the user may be towed.

59. The system according to claim 33, wherein the parking violation related data comprises at least one of:

(i) a suggestion for avoiding receiving at least one parking violation citation;

(ii) a recommendation for disputing, at least one parking violation citation;

or (iii) a redesign of parking signage.

60. The system according to claim 33, wherein the at least one notification includes at least one reason for a previously issued parking related violation, and wherein the at least one reason comprises:

no stopping anytime, no standing anytime, no parking anytime, no parking during indicated hours, metered parking, street cleaning, active driveway, bus stop, fire hydrant, tow away zone, or any other temporary or permanent parking related prohibition.

61. The system according to claim 33, further comprising:

a display apparatus, wherein the at least one processor is configured to instruct the display apparatus to display the at least one notification for the user.

62. The system according to claim 33, wherein the at least one, processor is further configured to:

collect tow away zone information, the tow away zone information comprising at least one, of;

a time frame when parking is illegal at the identified location and when a vehicle of the user may be towed;

a distance where parking is illegal and a vehicle of the user may be towed;

or

information about private or public tow away zones comprising relevant information about towing companies, costs, and other penalties associated with a vehicle of the user being towed, wherein the information about private or public tow away zones is communicated to the user as part of the at least one notification.

63. The system according to claim 33, wherein the at least one processor is further configured to:

transmit the at least one notification to the plurality of additional users through the plurality of computing devices.

64. The system according to claim 33, further comprising:

a clock mechanism in communication with the plurality of computing devices for determining the identified time and the identified date; and

a location determining apparatus in communication with the plurality of computing devices for determining the location; and

a display apparatus in communication with the computing system and configured to display the at least one notification to the user.