IP Library Granted Patent US 11,062,241
Granted Patent B2
US 11,062,241 · App. 15/249,305 · Granted Jul 13, 2021

System and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer

Inventors: Mark J. Stefik (Portola Valley, CA); Mudita Singhal (Santa Clara, CA); Kevin Albanese (Tarrytown, NY); Farrukh Ali (Los Angeles, CA); Eric A. Bier (Palo Alto, CA); Daniel G. Bobrow (Palo Alto, CA); Eduardo Cardenas Sanchez (Austin, TX); Matthew T. Darst (Chicago, IL); Hoda Eldardiry (San Carlos, CA); Gaurang Gavai (San Francisco, CA); Robert T. Krivacic (San Jose, CA); Pai Liu (Sunnyvale, CA); Sureyya Tarkan (Palo Alto, CA)
Assignee: Conduent Business Services, LLC
G06Q10/063116G06Q10/0639G07B15/02
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Quick Facts
Patent No.
US 11,062,241
App. No.
15/249,305
Granted
Jul 13, 2021
Kind
B2
Abstract

A system and method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer is provided. A time-based active representational model of the city is created by fusing sensory data collected from various sources around a city with numerical data gleaned from historical and on-going activities, including parking regulation citation and warning numbers, resource allocations, and so on. The model can be used to form quantitative predictions of expected violations, revenue stream, and so forth, that can then be used as recommendations as to where to enforce and when, so as to maximize the utilization of the limited resources represented by the officers on the street. Moreover, the performance of the officers can be weighed against expectations of performance postulated from the quantitative predictions.

Claims (92)

1. A system for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer, comprising:

at least one automatic license plate reader (ALPR);

a storage device, comprising:

a definition of a beat within a city for each member of a team of parking enforcement officers within which enforcement activities are to be performed by the officers; and

a time-based active representational model of the city that comprises estimates of parking violations expected to occur within each of the beats based on vehicle license plates from the ALPR and which fuses parking citation data with information received from sensors in the city;

a processor and memory within which code for execution by the processor is stored, further comprising:

an observer adapted to regularly track activities of the officers while on their respective beats, wherein each of the officers is associated with an activity map that is continuously updated;

a response plan generator adapted to form an estimation in real time of time to respond to an unplanned event at a location within the city for each of the officers;

assigning a priority to the anticipated activities for each officer on the team; and

ordering the impact on the overall performance of the team according to the priority assigned

a resource allocator adapted, for each of the officers, to determine an impact on overall performance of the team if that officer is assigned to respond to the unplanned event based upon the fused information from the active representational model;

an update generator adapted to perform the following:

update the activity map of the officer assigned to respond to the unplanned event with new recommendations for patrol by the officer; and

update the activity map of at least one other officer with new recommendations for areas of patrol by that officer comprising:

determine updates to the activity map for the other officer based on the assignment of the officer to respond to the unplanned event,

wherein the other officer and the officer assigned to respond to the unplanned event are different; and

determine updates to the activity map based on a change in priority of the areas for patrol by the other officer due to the assignment of the officer to respond to the unplanned event; and

a dispatcher interface adapted to display the estimations of times to respond and the impacts on overall performance of the team for each of the officers.

2. A system according to claim 1 , further comprising at least one of:

enforcement citation data collected from past parking violations within the beats as part of the parking citation data; and

current enforcement data derived from the officers' tracked activities while on their beats as part of the parking citation data.

3. A system according to claim 1 , further comprising:

an activity planner adapted to build one or more activity plans for each officer on the team based upon the fused information from the active representational model, and for each of the officers, to identify those activity plans that optimize performance by the officer and determining anticipated activities in the officer's beat based upon the officer's optimal activity plans; and

the resource allocator further adapted to quantify the impact on the overall performance of the team for each of the officers based upon that officer not performing the anticipated activities.

4. A method for facilitating parking enforcement officer dispatching in real time with the aid of a digital computer, comprising the steps of:

defining a beat within a city for each member of a team of parking enforcement officers within which enforcement activities are to be performed by the officers;

associating an automatic license plate reader (ALPR) with at least one of the parking enforcement officers;

fusing parking citation data with information received from sensors in the city and data from the ALPRs into a time-based active representational model of the city that comprises estimates of parking violations expected to occur within each of the beats;

regularly tracking activities of the officers while on their respective beats, wherein each of the officers is associated with an activity map that is continuously updated;

forming an estimation in real time of time to respond to an unplanned event at a location within the city for each of the officers;

for each of the officers, determining an impact on overall performance of the team if that officer is assigned to respond to the unplanned event based upon the fused information from the active representational model;

updating the activity map of the officer assigned to respond to the unplanned event with new recommendations for patrol by the officer; and

updating the activity map of at least one other officer with new recommendations for areas of patrol by that officer comprising:

determining updates to the activity map for the other officer based on the assignment of the officer to respond to the unplanned event,

wherein the other officer and the officer assigned to respond to the unplanned event are different; and

determining updates to the activity map based on a change in a priority of the areas for patrol by the other officer due to the assignment of the officer to respond to the unplanned event; and

displaying the estimations of times to respond and the impacts on overall performance of the team for each of the officers.

5. A method according to claim 4 , further comprising at least one of the steps of:

collecting enforcement citation data from past parking violations within the beats as part of the parking citation data; and

deriving current enforcement data from the officers' tracked activities while on their beats as part of the parking citation data.

6. A method according to claim 4 , further comprising the steps of:

building one or more activity plans for each officer on the team based upon the fused information from the active representational model;

for each of the officers, identifying those activity plans that optimize performance by the officer and determining anticipated activities in the officer's beat based upon the officer's optimal activity plans; and

quantifying the impact on the overall performance of the team for each of the officers based upon that officer not performing the anticipated activities.

7. A method according to claim 6 , further comprising the steps of:

assigning a priority to the anticipated activities for each officer on the team; and

ordering the impact on the overall performance of the team according to the priority assigned.

8. A method according to claim 7 , wherein the anticipated activities are selected from the group comprising enforcement activities and service activities.

9. A method according to claim 6 , further comprising the steps of:

following assignment of one or more of the officers to respond to the unplanned event, building one or more updated activity plans for each of the officers remaining on the team based upon the fused information from the active representational model; and

identifying the updated activity plans that optimize performance by the remaining officers.

10. A method according to claim 4 , further comprising the steps of:

setting a time to respond threshold for the unplanned event;

following assignment of one or more of the officers to respond to the unplanned event, monitoring arrival of the officers assigned; and

identifying whether the time to respond threshold has been exceeded by any of the officers assigned.

11. A method according to claim 4 , further comprising the steps of:

following assignment of one or more of the officers to respond to the unplanned event, following progression of the unplanned event; and

identifying whether the progression of the unplanned event requires additional resources.

12. A method according to claim 4 , further comprising the step of:

determining the activities of the officer with the aid of one or more of a mobile computing device, parking meter sensor, log of tagged communications, voice activated system, and centralized citation database.

13. A method according to claim 4 , further comprising at least one of the steps of:

tracking the locations of the officer at least one of on demand, periodically, or as triggered by performance of the activities;

monitoring progress on performance of the activities by the officer; and

identifying activities comprising one or more of the activities nearing completion and the activities taking longer than expected.

14. A method according to claim 4 , wherein the sensors around the city comprise one or more of location-sensing devices comprised in the officer's vehicle or mobile computing device, traffic loop sensors, parking meter payment collectors, traffic flow sensors, ALPR sensing systems on vehicles, and vehicle occupancy sensors associated with parking spaces.

15. A method according to claim 4 , wherein the geographically-bounded area of the city comprises one of a zone, beat, and super-beat.

16. A method according to claim 4 , wherein the step of interactively displaying further comprises at least one of the steps of:

including an urgency assigned to the unplanned event; and

identifying one or more of the officers whose assignment to the unplanned event comprises at least one of a shortest estimation of time to respond and a lowest impact on overall performance of the team.

17. A method according to claim 4 , further comprising the steps of:

identifying the current activity of each of the officers; and

weighing the impact of interrupting the current activity if that officer is assigned to respond to the unplanned event on the overall performance of the team.

18. A method according to claim 4 , further comprising at least one of the steps of:

weighing public safety needs comprising one or more of response time, officer qualifications, and number of officers needed;

weighing citation efficiency comprising projected number of citations lost as to each officer assigned to respond to the unplanned event versus availability of other officers to handle the citations otherwise lost; and

weighing balancing the load of each officer assigned to respond to the unplanned event, travel time, and policy considerations.

19. A method according to claim 4 , further comprising the steps of:

storing a policy comprising a fixed time threshold by which a dispatcher must respond to the unplanned event; and

proactively responding to the unplanned event upon the lapsing of the fixed time threshold.

20. A non-transitory computer readable storage medium storing code for executing on a computer system to perform the method comprising:

defining a beat within a city for each member of a team of parking enforcement officers within which enforcement activities are to be performed by the officers;

associating an automatic license plate reader (ALPR) with at least one of the parking enforcement officers;

fusing parking citation data with information received from sensors in the city and data from the ALPRs into a time-based active representational model of the city that comprises estimates of parking violations expected to occur within each of the beats;

regularly tracking activities of the officers while on their respective beats, wherein each of the officers is associated with an activity map that is continuously updated;

forming an estimation in real time of time to respond to an unplanned event at a location within the city for each of the officers;

for each of the officers, determining an impact on overall performance of the team if that officer is assigned to respond to the unplanned event based upon the fused information from the active representational model;

updating the activity map of the officer assigned to respond to the unplanned event with new recommendations for patrol by the officer; and

updating the activity map of at least one other officer with new recommendations for areas of patrol by that officer comprising:

determining updates to the activity map for the other officer based on the assignment of the officer to respond to the unplanned event,

wherein the other officer and the officer assigned to respond to the unplanned event are different; and

determining updates to the activity map based on a change in a priority of the areas for patrol by the other officer due to the assignment of the officer to respond to the unplanned event; and

displaying the estimations of times to respond and the impacts on overall performance of the team for each of the officers.

Assignments (12)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 3, 2024
From: CONDUENT BUSINESS SERVICES, LLC; CONDUENT STATE & LOCAL SOLUTIONS, INC.
To: MODAXO ACQUISITION USA INC. N/K/A MODAXO TRAFFIC MANAGEMENT USA INC.
Reel/Frame 069110/0888 →
PARTIAL RELEASE OF INTELLECTUAL PROPERTY SECURITY AGREEMENT Recorded May 2, 2024
From: BANK OF AMERICA, N.A.
To: CONDUENT BUSINESS SERVICES, LLC
Reel/Frame 067302/0649 →
RELEASE OF SECURITY INTEREST Recorded May 2, 2024
From: U.S. BANK TRUST COMPANY
To: CONDUENT BUSINESS SERVICES, LLC
Reel/Frame 067305/0265 →
SECURITY INTEREST Recorded May 1, 2024
From: MODAXO TRAFFIC MANAGEMENT USA INC.
To: BANK OF MONTREAL
Reel/Frame 067288/0512 →
SECURITY INTEREST Recorded Oct 19, 2021
From: CONDUENT BUSINESS SERVICES, LLC
To: BANK OF AMERICA, N.A.
Reel/Frame 057970/0001 →
SECURITY INTEREST Recorded Oct 19, 2021
From: CONDUENT BUSINESS SERVICES, LLC
To: U.S. BANK, NATIONAL ASSOCIATION
Reel/Frame 057969/0445 →
RELEASE OF SECURITY INTEREST Recorded Oct 18, 2021
From: JPMORGAN CHASE BANK, N.A.
To: CONDUENT BUSINESS SERVICES, LLC; CONDUENT STATE & LOCAL SOLUTIONS, INC.; CONDUENT TRANSPORT SOLUTIONS, INC.; ADVECTIS, INC.; CONDUENT COMMERCIAL SOLUTIONS, LLC; CONDUENT BUSINESS SOLUTIONS, LLC; CONDUENT CASUALTY CLAIMS SOLUTIONS, LLC; CONDUENT HEALTH ASSESSMENTS, LLC
Reel/Frame 057969/0180 →
SECURITY AGREEMENT Recorded Mar 19, 2020
From: CONDUENT BUSINESS SERVICES, LLC
To: JPMORGAN CHASE BANK, N.A.
Reel/Frame 052189/0698 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 6, 2017
From: PALO ALTO RESEARCH CENTER INCORPORATED
To: CONDUENT BUSINESS SERVICES, LLC
Reel/Frame 044036/0637 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2017
From: XEROX CORPORATION
To: CONDUENT BUSINESS SERVICES, LLC
Reel/Frame 043946/0005 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 13, 2017
From: STEFIK, MARK J.; SINGHAL, MUDITA; BIER, ERIC A.; BOBROW, DANIEL G.; ELDARDIRY, HODA; GAVAI, GAURANG; KRIVACIC, ROBERT T.; LIU, PAI; TARKAN, SUREYYA
To: PALO ALTO RESEARCH CENTER INCORPORATED
Reel/Frame 043002/0640 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 13, 2017
From: ALBANESE, KEVIN; ALI, FARRUKH; SANCHEZ, EDUARDO CARDENAS; DARST, MATTHEW T.
To: XEROX CORPORATION
Reel/Frame 043002/0734 →