DETERMINING VEHICLE OCCUPANCY USING SENSORS

• US 20170178416A1
• Filed: 12/21/2015
• Published: 06/22/2017
• Est. Priority Date: 12/21/2015
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: BARREIRA AVEGLIANO, Priscilla, GUIMARAES HERRMANN, Ricardo, SANCHEZ GALLO, Diego, CARDONHA, Carlos Henrique
• Granted Patent: US 9,928,667 B2
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G06Q 30/04 Billing or invoicing
• CPC Class Codes: G07B 15/06 Arrangements for road pricing or congestion charging of vehicles or vehicle users, e.g. automatic toll systems
• CPC Class Codes: G07B 15/063 using wireless information transmission between the vehicle and a fixed station identification of vehicles G08G
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/017 identifying vehicles G08G1/015, G08G1/054 take precedence
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/027 using movement velocity, acceleration information
• CPC Class Codes: H04W 4/42 for mass transport vehicles, e.g. buses, trains or aircraft
• CPC Class Codes: H04W 4/44 for communication between vehicles and infrastructures, e.g. vehicle-to-cloud [V2C] or vehicle-to-home [V2H]
• CPC Class Codes: H04W 4/80 Services using short range communication, e.g. near-field communication [NFC], radio-frequency identification [RFID] or low energy communication

Abstract

Determining occupancy of a vehicle during a trip can be carried out using a computer server which receives data from mobile computing devices within the vehicle. Each of the mobile computing devices is associated with a person, and sends to the server a unique identification of the vehicle, such as a license plate number, and also data generated during the trip from sensors within the device. The sensors collect data that relates to the local ambient environment of the device during the trip, such as a local magnetic field, movements, altitude, location, and sounds. The server compares the data from all devices in the vehicle to determine if the data from all of devices match, within predetermined limits. If there is a match, the server can provide a probable vehicle occupancy count; otherwise, the server can provide an indication that the vehicle occupancy should be investigated in another manner.

Claims

1. A method of determining occupancy of a vehicle along a route, comprising:

executing software upon at least one processor, the software stored on non-transitory media, the at least one processor configured by the software to;

receive information from each of a plurality of mobile computing devices, each mobile computing device associated with a person, the information including a unique identification of the vehicle and a unique identification of at least one of the transmitting mobile computing device and the person associated with the transmitting mobile computing device;

receive data during a plurality of time intervals during the trip corresponding to portions of the route, by at least one electronic sensor of each of the plurality of mobile computing devices, the data corresponding to a local ambient environment of the mobile computing device generating the data; and

communicate the received data to at least one server;

executing software upon the server, the software stored on non-transitory media, the server configured by the software to;

compare the received data to determine, during one or more predetermined portions of the route, the number of mobile computing devices having sensor data that mutually corresponded during the predetermined portions of the route; and

calculate a fee, based on the compared data, corresponding to the number of mobile computing devices having sensor data which mutually corresponded.

2. The method of claim 1, wherein the electronic sensor is selected from at least one of a magnetometer, gyroscope, GPS, accelerometer, and microphone.

3. The method of claim 1, wherein the at least one processor forms part of at least one server, and the received information and the received data were communicated to the at least one server by a software application (app) executing upon each of the plurality of mobile computing devices.

4. The method of claim 3, wherein when the unique identification of the person associated with the transmitting mobile computing device is received, the identification of the person is determined based upon a unique login carried out using the app.

5. The method of claim 1, wherein the data corresponding to a local ambient environmental parameter includes data corresponding to at least one of a magnetic field, local movements, a geographic location, acceleration movements, and sounds.

6. The method of claim 5, wherein the data corresponding to a local ambient environmental parameter further includes data corresponding to parameters associated with living people.

7. The method of claim 6, wherein the parameters associated with living people include heartbeat sounds, breathing sounds, heat output.

8. The method of claim 1, wherein the data corresponding to a local ambient environmental parameter includes data corresponding to at least one of heartbeat sounds, breathing sounds, human heat output, and human voices.

9. The method of claim 3, wherein when the unique identification of the person associated with the transmitting mobile computing device is received, the identification of the person is determined based upon a fingerprint reading.

10. The method of claim 1, wherein data that was generated is received from each mobile phone via a long range wireless communication network.

11. The method of claim 1, wherein the unique identification of the vehicle is license plate information.

12. The method of claim 1, wherein data that was generated is received from a transmitting device within the vehicle that is not one of the plurality of mobile computing devices, the transmitting device receiving the generated data from at least one mobile computing device in the vehicle.

13. The method of claim 1, wherein comparing the received data includes determining if the data obtained from all of the plurality of mobile computing devices mutually corresponded within predetermined limits, and if not, generating an indication that all mobile computing devices may not have been within the vehicle, the indication usable to create an inference that not all people associated with the plurality of mobile computing devices were within the vehicle during the corresponding time interval.

14. A method of determining occupancy of a vehicle during a trip travelled upon a fee based roadway, comprising:

executing software upon at least one computer server, the software stored on non-transitory media, the at least one server configured by the software to;

receive information from each of a plurality of mobile computing devices, each mobile computing device associated with a person, the information including a unique identification of the vehicle and a unique identification of at least one of the transmitting mobile computing device and the person associated with the transmitting mobile computing device;

receive data that was generated, during a time interval of the trip, by a plurality of electronic sensors selected from the group consisting of a magnetometer, gyroscope, GPS, accelerometer, and microphone, within each of the plurality of mobile computing devices, the data corresponding to local ambient environmental conditions of the mobile computing device generating the data;

compare the received data to determine if the data obtained from all of the plurality of mobile computing devices mutually correspond within predetermined limits, to determine a probable vehicle occupant count; and

communicate the probable vehicle occupant count and identification information of the vehicle to a server configured for determining fees for vehicles travelling on the fee based roadway.

15. The method of claim 14, wherein the received information and the received data were communicated to the at least one server by a software application (app) executing upon each of the plurality of mobile computing devices.

16. The method of claim 14, wherein when the unique identification of the person associated with the transmitting mobile computing device is received, the identification of the person is determined based upon a unique login carried out using the app.

17. The method of claim 14, wherein data that was generated is received from a transmitting device within the vehicle that is not one of the plurality of mobile computing devices, the transmitting device receiving the generated data from a plurality of the mobile computing devices in the vehicle.

18. A method of determining occupancy of a vehicle during a trip travelled upon a fee based roadway, comprising:

executing a software app upon each of a plurality of mobile computing devices travelling in the vehicle during the trip, the app configured to enable each of the plurality of mobile computing devices to;

a) receive identification information pertaining to an identification of the vehicle;

b) generate data during a time interval of the trip, by at least one electronic sensor selected from the group consisting of a magnetometer, gyroscope, GPS, accelerometer, and microphone, within the mobile computing device, the data corresponding to local ambient environmental conditions of the mobile computing device; and

c) communicate the identification information of the vehicle, the generated data, and identification information relating to the mobile computing device, to at least one server, using a long range wireless communication protocol; and

executing software upon at least one computer server, the software stored on non-transitory media, the at least one server configured by the software to;

receive the communicated information from each of the plurality of mobile computing devices;

compare the received data that was generated to determine if the data obtained from all of the plurality of mobile computing devices mutually correspond within predetermined limits, to determine a probable vehicle occupant count; and

calculate, using the probable vehicle occupant count and identification information of the vehicle, a fee for the vehicle for travelling on the fee based roadway.

19. The method of claim 18, wherein comparing the received data that was generated includes processing the data as arbitrary digital information that does not contain an underlying meaning or purpose.

20. The method of claim 18, wherein the data generated during a time interval of the trip is generated during more than one interval, and whereby the fee is determined based upon the probably vehicle occupant count during a particular interval.