SYSTEM AND METHOD FOR PREDICTING PARKING SPOT AVAILABILITY

• US 20080048885A1
• Filed: 09/04/2007
• Published: 02/28/2008
• Est. Priority Date: 08/09/2006
• Status: Abandoned Application

• Current Assignee: Joseph Quinn
• Original Assignee: Joseph Quinn
• Inventors: Quinn, Joseph
• Application Number:
  US11/849,493
• Publication Number:
  US 20080048885A1
• Time in Patent Office: Days
• US Class Current: 340/932.2
• CPC Class Codes: G08G 1/0116 from roadside infrastructure, e.g. beacons
• CPC Class Codes: G08G 1/0129 for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0141 for traffic information dissemination
• 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

Embodiments of the present invention provide a system and method for maintaining a record of parking space usage data for a plurality of parking spaces, using the usage data to compute probability of availability for a given space as a function of time and communicating the resultant probability data along with availability data to an end user who is looking for a parking space in the area. This information can be combined with a user'"'"'s estimated time of arrival (ETA) to assist the user in selecting a parking spot to drive to. A plurality of spaces can be ranked according to their likelihood of availability at an ETA to the general area or to each of the plurality of spaces.

Claims

1. A method for determining paring space availability comprising:

collecting data including times of occupancy and/or vacancy for at least one parking space over a representative period of time;

calculating occupancy statistics for said at least one space as a function of said data;

using said occupancy statistics to calculate a probability of vacancy during a period of time corresponding to said representative period.

2. The method according to claim 1 further comprising:

collecting period-specific data including times of occupancy and/or vacancy for at least one parking space over a plurality of representative periods of time;

calculating said statistics for each of said at least one space as a function of said period-specific data; and

using said occupancy statistics to calculate a prob ability of vacancy during a period of time corresponding to at least one of said representative periods of time.

3. The method according to claim 1 wherein said statistics include average time between occupancy and average duration of occupancy.

4. The method according to claim 1 wherein said collecting is performed by automatically sensing whether a vehicle is present or absent in a parking space to generate space occupancy/vacancy data and communicating said space occupancy/vacancy data to a database.

5. The method according to claim 2 wherein said plurality of representative periods are selected from the group consisting of:

day, night, weekday, weeknight, weekend day, weekend night, winter, summer, in-season, off-season, during entertainment event, during weather event, and during school-year.

6. The method according to claim 2 wherein said plurality of representative periods correspond to days of the week and/or months of the year.

7. The method according to claim 1 further comprising:

communicating said probability to a user.

8. The method according to claim 1 further comprising:

communicating said probability to a user'"'"'s vehicle.

9. The method according to claim 1 further comprising providing enhanced vacancy probability data to a vehicle by:

determining an estimated time of arrival of said vehicle at said space;

determining the duration of a present occupancy or vacancy status of said space;

computing the probability of vacancy of vacancy of said space at said estimated time of arrival according to said statistics and said duration; and

communicating said probability of vacancy at said estimated time or;

arrival to said user.

10. The method according to claim 9 further comprising:

ranking a plurality of said parking spaces according to their likelihood of availability when said vehicle can be estimated to arrive at each of said plurality of parking spaces and according to the most quickly accessible space with a high probability of vacancy upon arrival.

11. A system comprising:

one to a plurality of detector stations capable of detecting vehicle presence in one or more locations;

a central processor in communication with said detector stations and in communication with a publicly accessible network;

wherein said central processor is programmed to maintain at least one database of said vehicle presence data received from said detector stations, and integrates said vehicle presence data with geographical map data, and further provides a data structure which comprises a graphical representation of said vehicle presence data with geographical data, said graphical representation being remotely accessible via said publicly accessible network.