Predictive analytics to determine optimal space allocation

Patent metadata

Field	Value
Publication number	US-10453334-B2
Application number	US-201514923883-A
Country	US
Kind code	B2
Filing date	Oct 27, 2015
Priority date	Oct 27, 2015
Publication date	Oct 22, 2019
Grant date	Oct 22, 2019

Abstract

Embodiments for management of a parking facility by a processor. Operations are performed to collect and track data of the parking facility over time from a plurality of sources including data representative of physical use of the parking facility and data obtained aside from the physical use data. Predictive analytics are applied to a totality of the physical use and other data to generate decisions that are implemented for the parking facility. The decisions anticipate individual behavior pertaining to the parking facility.

First claim

The invention claimed is:

1. A method for management of a parking facility by a processor, comprising:
performing operations to collect and track data of the parking facility over time from a plurality of sources including data representative of physical use of the parking facility and data obtained aside from the physical use data; wherein collecting and tracking data from the plurality of sources includes dynamically collecting and tracking data obtained from calendar entries gleaned from a publicly available source, including a social media source, for at least one of an appointment, a flight, an event, and an attraction; and wherein collecting and tracking data from the plurality of sources further includes deducing, from the calendar entries, a vehicle size and type, and occupant characteristics associated therewith, to be parked at the parking facility; and
applying predictive analytics to a totality of the physical use and other data to generate decisions that are implemented for the parking facility, the decisions anticipating individual behavior pertaining to the parking facility.

2. The method of claim 1 , wherein collecting and tracking data from the plurality of sources includes at least one of determining an average parking facility utilization from monitoring parking utilization, monitoring a weather condition, determining a preferred parking location, analyzing a traffic pattern including current or planned construction, monitoring a social event, monitoring an hours of operation of a business, analyzing a mobile device search history, and monitoring a holiday schedule.

3. The method of claim 1 , wherein applying the predictive analytics includes at least one of considering a total parking capacity of the parking facility, considering a preferred parking location of a vehicle regularly occupying the parking facility, and calculating a parking layout and fill pattern while considering a load balancing requirement of the parking facility.

4. The method of claim 1 , wherein applying the predictive analytics further includes considering a past trend of parking structure occupancy to be applied to a current parking scenario having similarly determined characteristics.

5. The method of claim 1 , wherein applying the predictive analytics further includes determining at least one of a destination for an occupant of a vehicle parking in the parking facility and a trending departure time for the occupant from the destination.

6. The method of claim 1 , wherein applying the predictive analytics further includes communicating, to a remote device, at least one of the decisions for use by at least one of a vehicle and a user for parking in the parking facility.

7. A system for management of a parking facility, comprising:
a processor, wherein the processor:
performs operations to collect and track data of the parking facility over time from a plurality of sources including data representative of physical use of the parking facility and data obtained aside from the physical use data; wherein collecting and tracking data from the plurality of sources includes dynamically collecting and tracking data obtained from calendar entries gleaned from a publicly available source, including a social media source, for at least one of an appointment, a flight, an event, and an attraction; and wherein collecting and tracking data from the plurality of sources further includes deducing, from the calendar entries, a vehicle size and type, and occupant characteristics associated therewith, to be parked at the parking facility; and
applies predictive analytics to a totality of the physical use and other data to generate decisions that are implemented for the parking facility, the decisions anticipating individual behavior pertaining to the parking facility.

8. The system of claim 7 , wherein the processor, pursuant to collecting and tracking data from the plurality of sources, at least one of determines an average parking facility utilization from monitoring parking utilization, monitors a weather condition, determines a preferred parking location, analyzes a traffic pattern including current or planned construction, monitors a social event, monitors an hours of operation of a business, analyzes a mobile device search history, and monitors a holiday schedule.

9. The system of claim 7 , wherein the processor, pursuant to applying the predictive analytics, at least one of considers a total parking capacity of the parking facility, considers a preferred parking location of a vehicle regularly occupying the parking facility, and calculates a parking layout and fill pattern while considering a load balancing requirement of the parking facility.

10. The system of claim 7 , wherein the processor, pursuant to applying the predictive analytics, considers a past trend of parking structure occupancy to be applied to a current parking scenario having similarly determined characteristics.

11. The system of claim 7 , wherein the processor, pursuant to applying the predictive analytics, determines at least one of a destination for an occupant of a vehicle parking in the parking facility and a trending departure time for the occupant from the destination.

12. The system of claim 7 , wherein the processor, pursuant to applying the predictive analytics, communicates, to a remote device, at least one of the decisions for use by at least one of a vehicle and a user for parking in the parking facility.

13. A computer program product for management of a parking facility using a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
a first executable portion that performs operations to collect and track data of the parking facility over time from a plurality of sources including data representative of physical use of the parking facility and data obtained aside from the physical use data; wherein collecting and tracking data from the plurality of sources includes dynamically collecting and tracking data obtained from calendar entries gleaned from a publicly available source, including a social media source, for at least one of an appointment, a flight, an event, and an attraction; and wherein collecting and tracking data from the plurality of sources further includes deducing, from the calendar entries, a vehicle size and type, and occupant characteristics associated therewith, to be parked at the parking facility; and
a second executable portion that applies predictive analytics to a totality of the physical use and other data to generate decisions that are implemented for the parking facility, the decisions anticipating individual behavior pertaining to the parking facility.

14. The computer program product of claim 13 , further including a third executable portion that, pursuant to collecting and tracking data from the plurality of sources, at least one of determines an average parking facility utilization from monitoring parking utilization, monitors a weather condition, determines a preferred parking location, analyzes a traffic pattern including current or planned construction, monitors a social event, monitors an hours of operation of a business, analyzes a mobile device search history, and monitors a holiday schedule.

15. The computer program product of claim 13 , further including a third executable portion that, pursuant to applying the predictive analytics, at least one of considers a total parking capacity of the parking facility, considers a preferred parking location of a vehicle regularly occu

Assignees

• IBM

Inventors

• Barajas Gonzalez Emmanuel
• Harrington Shaun E
• Mcgregor Harry
• Moore Christopher B

Classifications

• G08G1/144

  on portable or mobile units, e.g. personal digital assistant [PDA] · CPC title

• G08G1/065

  by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count · CPC title

• G08G1/0141

  for traffic information dissemination · CPC title

• G08G1/012 Primary

  from other sources than vehicle or roadside beacons, e.g. mobile networks · CPC title

• G08G1/0112

  from the vehicle, e.g. floating car data [FCD] · CPC title