SYSTEM AND METHODS FOR DETECTION AND SELECTION OF A RESOURCE AMONG AVAILABLE RESOURCES

• US 20140122190A1
• Filed: 10/31/2013
• Published: 05/01/2014
• Est. Priority Date: 10/31/2012
• Status: Abandoned Application

• Current Assignee: Bhaskar Dasgupta, Daniel Ayala, Jie Lin, Leon Stenneth, Wolfson, Ouri, Xu Bo
• Original Assignee: Bhaskar Dasgupta, Daniel Ayala, Jie Lin, Leon Stenneth, Wolfson, Ouri, Xu Bo
• Inventors: Wolfson, Ouri, Xu, Bo, Stenneth, Leon, Ayala, Daniel, DasGupta, Bhaskar, Lin, Jie
• Application Number:
  US14/068,307
• Publication Number:
  US 20140122190A1
• Time in Patent Office: Days
• US Class Current: 705/13
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G07B 15/00 Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points handling coins or valuable papers, e.g. banknotes, G07D; apparatus for vending or hiring articles or services activated by coins, credit cards, paper currency or the like G07F7/00, G07F17/00
• CPC Class Codes: G08G 1/141 with means giving the indication of available parking spaces
• CPC Class Codes: G08G 1/144 on portable or mobile units, e.g. personal digital assistant [PDA]

Abstract

Detecting whether a resource is available and facilitating the selection of a resource from a set of resources, some of which may be available or unavailable at any given time can be a challenge. One such resource is a suitable place to park a vehicle including automobile, motorcycle, and bicycle. Finding parking can be a significant challenge in population dense environments. Certain embodiments of the present invention are configured to assist users with quickly and efficiently finding a parking slot near his or her location or destination. The system may be configured to generate parking slot suggestions based on one or more of a wide range of individual or group preference criteria. Advantageously, facilitating quick and efficient parking reduces traffic congestion and pollution.

Claims

1. A system for maximizing efficient utilization of a resource by one or more users, comprising:

a processor;

a main memory in communication with the processor via a communication infrastructure and storing instructions that, when executed by the processor, cause the processor to;

acquire information about the resource to determine whether one resource or a group of resources are available or unavailable;

detect an event in which an unavailable one resource or the group of resources becomes available; and

communicate the availability or the unavailability of the one resource or the group of resources to the one or more users whereby the efficient utilization of the one resources or the group of resources may be maximized.

2. A system for maximizing efficient utilization of one or more parking slots by one or more users seeking to park one or more vehicles, comprising:

a processor;

a main memory in communication with the processor via a communication infrastructure and storing instructions that, when executed by the processor, cause the processor to;

acquire information about the locations of one or more parking slots;

group one or more parking slots into two or more sets of parking slots;

detect an event in which one or more users has parked or deparked the one or more vehicles in the locations;

associate the event in which the one or more users parked or deparked the one or more vehicles to form parking slot status information; and

communicate the parking slot status information to the one or more users whereby the efficient utilization of the one or more parking slots may be maximized.

3. The system of claim 2, wherein the detect step includes receiving detected information indicating that one or more of the following types of events occurred:

a. a short distance communication element pairs with a vehicle short distance communication element,

b. a short distance communication element breaks the pairing with a vehicle short distance communication element,

c. a payment for a parking slot is made for a specific parking slot or some parking slot within a set of parking slots,

d. a motion pattern associated with paying is detected,

e. a parking motion pattern or a deparking motion pattern is detected, or

f. an acoustic signal associated with parking has been detected.

4. The system of claim 2, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to develop a historical availability profile for at least one of the two or more sets of parking slots using detected information from the one or more users or non-detected information from another source.

5. The system of claim 4, wherein the developed historical availability profile step is comprised of establishing a parking availability value and incorporating a scaled decrease of the parking availability if the system does not have a complete market penetration.

6. The system of claim 5, wherein the developed historical availability profile step also is comprised of adding a scaled increase or decrease to the parking availability value to adjust for possible false positives or false negatives in the detected information.

7. The system of claim 4, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to compute a parking availability estimation for the at least one of the two or more sets of parking slots, wherein the compute step employs at least one of:

a. Historical Statistics method;

b. Scaled PhonePark method;

c. Weighted Average method;

or

d. Kalman Filter method.

8. The system of claim 7, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to accept a request for parking slot suggestion from at least one of the one or more users, wherein the request includes one or more personal preference criteria.

9. The system of claim 8, wherein the one or more personal preference criteria include one or more of the following:

a. shortest distance from user current location;

b. shortest distance from user destination;

c. fee associated with parking slot;

d. handicapped accessibility;

e. size of parking slot;

f. security of parking slot;

g. safety of parking slot;

h. walkability of area surrounding parking slot;

i. number of unoccupied parking slots within a certain radius;

j. whether the user has any type of permit for parking slots;

k. short-term parking or long-term parking;

or

l. covered or uncovered parking slot.

10. The system of claim 9, wherein the request includes four or more personal preference criteria.

11. The system of claim 8, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to combine the one or more personal preference criteria with the parking availability estimation to make a personal desirability score for the at least one of the two or more sets of parking slots and rank the two or more sets of parking slots according to the personal desirability score.

12. The system of claim 11, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to display a parking slot suggestion, wherein the parking slot suggestion is selected based on highest personal desirability score.

13. The system of claim 12, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to display at least two or more parking slot suggestions and show the personal desirability score associated with each parking slot suggestion.

14. The system of claim 12, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to emit audible directions to the location of a parking slot identified the parking slot suggestion.

15. The system of claim 2, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to:

accept a request for a parking slot suggestion from at least one or more users,

apply one or more group preference criteria selected from minimizing distance traveled to the parking slot for two or more users, minimizing pollution, or minimizing traffic congestion,

incorporate the one or more group preference criteria with the parking availability estimation to make a group desirability score for the at least one of the two or more sets of parking slots and rank the two or more sets of parking slots according to the group desirability score,

pick a group parking slot suggestion for the user based on highest group desirability score, and

present the group parking slot suggestion via an output element.

16. The system of claim 15, wherein the main memory in communication with the processor stores instructions that, when executed by the processor, cause the processor also to setting a fee for at least one parking slot, thereby incentivizing the user to park in the parking slot presented in the group parking slot suggestion or deincentivizing the user from parking in a parking slot other than the parking slot presented in the group parking slot suggestion.

17. The system of claim 16, wherein the fee-setting step includes revenue-neutral pricing strategy among all of the one or more fees established by the system.

18. The system of claim 16, wherein the fee-setting step ensures that the fees collected from drivers exceed the discounts or refunds provided to drivers.

19. The system of claim 18, wherein the ensuring step is provided via the guarantee that the system optimum is better overall than the equilibrium.

20. The system of claim 16, wherein the fee-setting step includes a revenue-generating pricing strategy among all of the one or more fees established by the system.

21. A cloud computing system for maximizing resource utilization by one or more users, comprising:

a first client computer comprising a first processor and a first main memory in communication with the first processor via a communication infrastructure and storing instructions that, when executed by the first processor, cause the first processor to;

gather information about whether a parking slot is occupied or unoccupied using a detection unit, wherein such information forms detected information; and

send the detected information to a server;

wherein the server comprises a second processor and a second main memory in communication with the second processor via the communication infrastructure and storing instructions that, when executed by the second processor, cause the second processor to;

get the detected information from the client computer; and

generate a parking availability estimation based on the detected information.

22. The cloud computing system of claim 21, wherein the first main memory in communication with the first processor stores instructions that, when executed by the first processor, cause the first processor also to:

provide a user interface through which a user can prepare and submit a request for a parking slot suggestion, wherein the request for a parking slot suggestion includes one or more preference criteria fields configured to permit the user to enter preference criteria and wherein the user interface is configured to be at least observed through an output element; and

present parking slot suggestions based on the parking availability estimation.

23. The cloud computing system of claim 21 where the parking availability is updated based on the location where the vehicle requesting a parking slot suggestion stops and parks.

24. The cloud computing system of claim 21 where the parking availability is updated based on a request for a parking location reminder or on a parking-time expiration alert.