Parking availability system

Patent metadata

Field	Value
Publication number	US-2017191849-A1
Application number	US-201615380929-A
Country	US
Kind code	A1
Filing date	Dec 15, 2016
Priority date	Dec 30, 2015
Publication date	Jul 6, 2017
Grant date	—

Abstract

In an implementation, parking-related statistical and real-time data and data received from routing data providers is normalized as normalized data. Using the normalized data, a computer calculates a probability for parking space availability in given geographical segments for a selected destination, routes to available parking, probability, and an estimated time to park (ETP)=estimated time to drive around (ETDA)+estimated time to walk (ETW) using the normalized statistical data and the selected destination. The calculated routes to available parking are evaluated in combination with user preferences to rank the calculated routes to available parking. The ranked routes to available parking are initiated for display on a graphical user interface (GUI).

First claim

What is claimed is:

1 . A computer-implemented method, comprising:
normalizing parking-related statistical and real-time data and data received from routing data providers as normalized data; calculating, by a computer using the normalized data, a probability for parking space availability in given geographical segments for a selected destination; calculating routes to available parking, probability, and an estimated time to park (ETP)=estimated time to drive around (ETDA)+estimated time to walk (ETW) using the normalized statistical data and the selected destination; and evaluating the calculated routes to available parking in combination with user preferences to rank the calculated routes to available parking; and initiating the ranked routes to available parking in a graphical user interface (GUI).

2 . The computer-implemented method of claim 1 , wherein the parking-related statistical and real-time data includes data from one or more of mobile device sensors, street sensors, image analysis, geographic information system and mapping, and crowd sourcing data.

3 . The computer-implemented method of claim 2 , further comprising aggregating the parking-related statistical and real-time data.

4 . The computer-implemented method of claim 1 , wherein the probability is calculated according to one or more of time, day, and date.

5 . The computer-implemented method of claim 1 further comprising filtering the given geographical segments according to a threshold.

6 . The computer-implemented method of claim 1 , further comprising storing the normalized data in a database for access by a segment probability calculator used for the calculation of parking space probability.

7 . The computer-implemented method of claim 1 , wherein the ranking of the calculated routes is based on dynamic pricing.

8 . A non-transitory, computer-readable medium storing one or more instructions executable by a computer system to perform operations comprising:
normalizing parking-related statistical and real-time data and data received from routing data providers as normalized data; calculating, by a computer using the normalized data, a probability for parking space availability in given geographical segments for a selected destination; calculating routes to available parking, probability, and an estimated time to park (ETP)=estimated time to drive around (ETDA)+estimated time to walk (ETW) using the normalized statistical data and the selected destination; and evaluating the calculated routes to available parking in combination with user preferences to rank the calculated routes to available parking; and initiating the ranked routes to available parking in a graphical user interface (GUI).

9 . The non-transitory, computer-readable medium of claim 8 , wherein the parking-related statistical and real-time data includes data from one or more of mobile device sensors, street sensors, image analysis, geographic information system and mapping, and crowd sourcing data.

10 . The non-transitory, computer-readable medium of claim 9 , further comprising one or more instructions to aggregate the parking-related statistical and real-time data.

11 . The non-transitory, computer-readable medium of claim 8 , wherein the probability is calculated according to one or more of time, day, and date.

12 . The non-transitory, computer-readable medium of claim 8 , further comprising one or more instructions to filter the given geographical segments according to a threshold.

13 . The non-transitory, computer-readable medium of claim 8 , further comprising one or more instructions to store the normalized data in a database for access by a segment probability calculator used for the calculation of parking space probability.

14 . The non-transitory, computer-readable medium of claim 8 , wherein the ranking of the calculated routes is based on dynamic pricing.

15 . A computer-implemented system, comprising:
a computer memory; and a hardware processor interoperably coupled with the computer memory and configured to perform operations comprising:
normalizing parking-related statistical and real-time data and data received from routing data providers as normalized data;
calculating, by a computer using the normalized data, a probability for parking space availability in given geographical segments for a selected destination;
calculating routes to available parking, probability, and an estimated time to park (ETP)=estimated time to drive around (ETDA)+estimated time to walk (ETW) using the normalized statistical data and the selected destination; and
evaluating the calculated routes to available parking in combination with user preferences to rank the calculated routes to available parking; and
initiating the ranked routes to available parking in a graphical user interface (GUI).

16 . The computer-implemented system of claim 15 , wherein the parking-related statistical and real-time data includes data from one or more of mobile device sensors, street sensors, image analysis, geographic information system and mapping, and crowd sourcing data, and wherein the parking-related statistical and real-time data is aggregated.

17 . The computer-implemented system of claim 15 , wherein the probability is calculated according to one or more of time, day, and date.

18 . The computer-implemented system of claim 15 , further configured to filter the given geographical segments according to a threshold.

19 . The computer-implemented system of claim 15 , further configured to store the normalized data in a database for access by a segment probability calculator used for the calculation of parking space probability.

20 . The computer-implemented system of claim 15 , wherein the ranking of the calculated routes is based on dynamic pricing.

Assignees

• Sap Se

Inventors

• Agam Sharon
• Barlev Eyal
• Perez Ido
• Frenkel Lior

Classifications

• G08G1/0141

  for traffic information dissemination · CPC title

• G08G1/0112

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

• G08G1/148

  Management of a network of parking areas · CPC title

• G07B15/02

  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) · CPC title

• G08G1/144

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