INDIRECT CHARACTERIZATION OF TRANSPORTATION NETWORKS AND VEHICLE HEALTH

• US 20150161824A1
• Filed: 12/10/2014
• Published: 06/11/2015
• Est. Priority Date: 12/10/2013
• Status: Abandoned Application

• Current Assignee: IMS Solution, Inc.
• Original Assignee: IMS Solution, Inc.
• Inventors: Miners, William Ben, Basir, Otman A.
• Application Number:
  US14/566,320
• Publication Number:
  US 20150161824A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G07C 5/00 Registering or indicating the working of vehicles
• CPC Class Codes: G07C 5/08 Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time

Abstract

A characterizes vehicle tire and road information using indirect internal vehicle information from emissions, infotainment, and communication subsystems. This approach to characterize vehicle tire and road information eliminates the need for additional sensors within the vehicle or infrastructure, while supporting the analysis across a broad base of existing vehicles. Several examples of this approach are described herein, although other uses could be implemented.

Claims

1. A vehicle monitoring system comprising:

at least one internal sensor on a vehicle, the at least one sensor gathering internal vehicle data;

at least one external sensor on the vehicle, the at least one external sensor gathering external vehicle data;

a processor programmed to compare the internal vehicle data to the external vehicle data.

2. The vehicle monitoring system of claim 1 wherein the processor is programmed to determine tire wear based upon the comparison between the internal vehicle data and the external vehicle data.

3. The vehicle monitoring system of claim 2 wherein the at least one external sensor includes a GNSS receiver and the at least one internal sensor obtains vehicle speed information via an OBD port on the vehicle.

4. The vehicle monitoring system of claim 1 wherein the processor is programmed to determine road conditions based upon the comparison between the internal vehicle data and the external vehicle data.

5. The vehicle monitoring system of claim 4 wherein the at least one external sensor includes a GNSS receiver and the at least one internal sensor obtains internal vehicle data via an OBD port on the vehicle.

6. The vehicle monitoring system of claim 1 wherein the processor is programmed to determine an icy road based upon the comparison between the internal vehicle data and the external vehicle data.

7. The vehicle monitoring system of claim 6 wherein the at least one external sensor includes a GNSS receiver and the at least one internal sensor obtains internal vehicle data via an OBD port on the vehicle.

8. The vehicle monitoring system of claim 1 wherein the processor is programmed to determine wheel misalignment based upon the comparison between the internal vehicle data and the external vehicle data.

9. The vehicle monitoring system of claim 8 wherein the at least one external sensor includes a GNSS receiver and the at least one internal sensor obtains internal vehicle data via an OBD port on the vehicle.

10. The vehicle monitoring system of claim 1 wherein the at least one external sensor includes a GNSS receiver.

11. The vehicle monitoring system of claim 1 wherein the at least one internal sensor includes an accelerometer.

12. The vehicle monitoring system of claim 1 wherein the at least one internal sensor includes an OBD port.

13. A method for monitoring a vehicle including the steps of:

a) gathering internal vehicle data from the vehicle;

b) gathering external vehicle data; and

c) comparing the internal vehicle data to the external vehicle data.

14. The method of claim 13 further including the step of determining tire wear based upon the comparison between the internal vehicle data and the external vehicle data.

15. The method of claim 13 further including the step of determining road conditions based upon the comparison between the internal vehicle data and the external vehicle data.

16. The method of claim 13 further including the step of determining an icy road based upon the comparison between the internal vehicle data and the external vehicle data.

17. The method of claim 13 further including the step of determining wheel misalignment based upon the comparison between the internal vehicle data and the external vehicle data.

18. A method for monitoring a vehicle including the steps of:

a) gathering acceleration data or acoustic data from the vehicle; and

b) determining a road surface based upon the data gathered in said step a).

19. The method of claim 18 wherein said step a) includes gathering acoustic data and wherein said step b) includes determining the road surface based upon the acoustic data.

20. A method for determining volumetric efficiency of a vehicle including the steps of:

a) gathering vehicle data from an on-board data port; and

b) calculating volumetric efficiency based upon the vehicle data gathered in said step a).