System And Method For Coordinating Parking Enforcement Officer Patrol In Real Time With The Aid Of A Digital Computer

• US 20180060790A1
• Filed: 08/26/2016
• Published: 03/01/2018
• Est. Priority Date: 08/26/2016
• Status: Active Grant

• Current Assignee: Conduent Business Services, LLC (Conduent, Inc.)
• Original Assignee: Conduent Business Services, LLC (Conduent, Inc.)
• Inventors: Stefik, Mark J., Singhal, Mudita, Albanese, Kevin, Ali, Farrukh, Bier, Eric A., Bobrow, Daniel G., Cardenas Sanchez, Eduardo, Darst, Matthew T., Eldardiry, Hoda, Gavai, Gaurang, Krivacic, Robert T., Tarkan, Sureyya
• Granted Patent: US 10,817,814 B2
• Time in Patent Office: Days
• CPC Class Codes: G06Q 10/063114 Status monitoring or status determination for a person or group
• CPC Class Codes: G06Q 10/063116 Schedule adjustment for a person or group
• 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 coordinating parking enforcement officer patrol 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 ongoing 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

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

a storage device, comprising;

definitions of beats within a city for a plurality of parking enforcement officers within which enforcement activities are to be performed by each of the officers;

a super-beat that combines the beats of each of the officers, the officers on the super-beat forming a team; and

a time-based active representational model of the city that comprises estimates of parking violations expected to occur within the super-beat and which fuses parking citation data with information received from sensors in the city; and

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

an activity planner adapted to build several versions of a team activity plan for all of the officers on the team based upon the fused information from the active representational model, and to identify the team activity plan that optimizes performance by the team;

an observer adapted to regularly track activities of the officers on the team and the officers'"'"' directions of travel while on the super-beat; and

an opportunity predictor adapted to identify areas within the super-beat situated about each officer'"'"'s direction of travel within which the estimated parking violations in the optimal team activity plans fall and to generate recommendations for each officer for each area identified about that officer'"'"'s direction of travel based upon the tracked activities of and the enforcement activities collectively performed by the officers on the team.

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

historical 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:

the processor and memory further comprising;

an event monitor adapted to assemble the activities of each of the officers on the team that have been completed; and

the activity planner further adapted to build one or more updated team activity plans for the team based upon the fused information from the active representational model and the completed activities, and to identify the updated team activity plans that optimize performance by the team.

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

the processor and memory further comprising;

the activity planner further adapted to build one or more updated team activity plans for the officers remaining on the team following assignment of one or more of the officers on the team to respond to an unplanned event based upon the fused information from the active representational model, and to identify the updated team activity plans that optimize performance by the officers remaining on the team.

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

characteristics pertaining to the super-beat that are included when building the team activity plans from the group comprising one or more of nature of the beat, time of day, and day of week, season, number of officers on the beat, traffic conditions, and service requirements.

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

the processor and memory further comprising;

a motivation recommender adapted to create analytics based upon differences between the expected performance of the team according to the optimal team activity plans versus the team'"'"'s actual performance according to the tracked activities of the officers on the team.

7. A system according to claim 6, further comprising:

the motivation recommender further adapted to set expectations for each of the officers on the team based upon their optimal team activity plans, to provide the expectations to the officers, and to include whether the officer met the expectations as part of the analytics.

8. A method for coordinating parking enforcement officer patrol in real time with the aid of a digital computer, comprising the steps of:

defining beats within a city for a plurality of parking enforcement officers within which enforcement activities are to be performed by each of the officers;

combining the beats of each of the officers into a super-beat, the officers on the super-beat forming a team;

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

building several versions of a team activity plan for all of the officers on the team based upon the fused information from the active representational model;

identifying the team activity plan that optimizes performance by the team;

regularly tracking activities of the officers on the team and the officers'"'"' directions of travel while on the super-beat; and

identifying areas within the super-beat situated about each officer'"'"'s direction of travel within which the estimated parking violations in the optimal team activity plans fall and generating recommendations for each officer for each area identified about that officer'"'"'s direction of travel based upon the tracked activities of and the enforcement activities collectively performed by the officers on the team.

9. A method according to claim 8, further comprising at least one of the steps of:

collecting historical 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.

10. A method according to claim 8, further comprising the steps of:

assembling the activities of each of the officers on the team that have been completed;

building one or more updated team activity plans for the team based upon the fused information from the active representational model and the completed activities; and

identifying the updated team activity plans that optimize performance by the team.

11. A method according to claim 8, further comprising the steps of:

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

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

12. A method according to claim 8, further comprising the step of:

including characteristics pertaining to the super-beat when building the team activity plans from the group comprising one or more of nature of the beat, time of day, and day of week, season, number of officers on the beat, traffic conditions, and service requirements.

13. A method according to claim 8, further comprising the step of:

creating analytics based upon differences between the expected performance of the team according to the optimal team activity plans versus the team'"'"'s actual performance according to the tracked activities of the officers on the team.

14. A method according to claim 13, further comprising the steps of:

setting expectations for each of the officers on the team based upon their optimal team activity plans;

providing the expectations to the officers; and

including whether the officer met the expectations as part of the analytics.

15. A method according to claim 14, further comprising the step of:

quantifying the expectations based upon one or more of productivity, adherence to following recommendations, and awareness of activities within the super-beat by other officers on the super-beat.

16. A method according to claim 8, wherein the team activity plans comprise one or more of patrolling, expectations of citations to be found, and services to be performed.

17. A method according to claim 8, further comprising at least one of the steps of:

assessing and interactively displaying an impact on performance of the team when one or more new activities are assigned to one or more of the officers on the team;

optimizing the combined performance of the officers on the team with respect to one or more of total citations issued and total activities handled;

filtering out those of the officers on the team whose locations and activities reflect priorities greater than the priorities of the other officers on the super-beat when being considered for assignment to respond to an unplanned event; and

using the location of each of the officers on the team and traffic data for the super-beat to estimate response times when being considered for assignment to respond to an unplanned event.

18. A method according to claim 8, further comprising at least one of the steps of:

showing places on a zoomable digital map representation of the super-beat where parking violations are expected to occur;

showing activities of the officers on the team comprising one or more of officer movement, parking citations given or pending, parking violations predicted, and activities pending or completed;

displaying activities of the officers on the team comprising one or more layers comprising the locations of the officers, traces of where the officers have been, key performance indicators and contributions of the officers, activities completed by the officers, citation rates of the officers, the officers who are on break, and planned breaks for the officers;

displaying items of interest in the super-beat comprising one or more of lack of progress on activities, low production rate of parking citations, the officers who are not moving, areas within the super-beat not being covered enough according to policy, gaps where there is no officer activity, the officers not taking breaks as required, and timed parking zones ready for coverage;

showing places on a zoomable digital map representation of the super-beat where activities have been assigned to the officers on the team but not yet to particular officers; and

displaying information about changes in assignments to the officers on the team comprising one or more of information about predicted parking citations, information about violations already cited, and information about vehicles parked in time-restricted zones that are approaching or have passed the time where there is a violation.

19. A method according to claim 8, further comprising at least one of the steps of:

sending communications comprising one or more of motivations, credit, and rewards to the officers on the team;

sending communications comprising motivational messages to the officers on the team when work is coordinated effectively comprising one or more of situations in which one officer on the super-beat helps another officer on the super-beat by taking over an activity and situations in which one officer on the super-beat marks vehicles parked in timed parking zones and another officer on the super-beat issues citations on the marked vehicles that stayed over time; and

sending communications comprising congratulations or messages from one officer on the super-beat to one or more other officers on the super-beat.

20. A non-transitory computer readable storage medium storing code for executing on a computer system to perform the method according to claim 8.