Method and apparatus for detecting a road pavement surface condition

• US 5,852,243 A
• Filed: 07/21/1997
• Issued: 12/22/1998
• Est. Priority Date: 07/21/1997
• Status: Expired due to Fees

• Current Assignee: J Squared Incorporated
• Original Assignee: J Squared Incorporated
• Inventors: Chang, James Shih-Tsih, Fanning, James Jay
• Primary Examiner(s): Williams, Hezron
• Assistant Examiner(s): MILLER, ROSE MARY
• Application Number:
  US08/896,865
• Time in Patent Office: 519 Days
• Field of Search: 73/590, 73/594, 73/587, 73/593, 73/645, 73/648, 73/649, 73/659, 73/660, 73/105, 180/167, 180/168, 180/169, 340/901, 340/905, 340/580, 340/581, 340/582, 340/583, 340/601, 340/602, 364/550, 364/551.01, 701/80, 701/1
• US Class Current: 73/659
• CPC Class Codes: B60R 16/0237 circuits concerning the atmospheric environment meteorology G01W
• CPC Class Codes: B60T 8/172 Determining control parameters used in the regulation, e.g. by calculations involving measured or detected parameters B60T8/17551 takes precedence
• CPC Class Codes: B60W 2555/60 Traffic rules, e.g. speed limits or right of way
• CPC Class Codes: G01N 2291/014 Resonance or resonant frequency
• CPC Class Codes: G01N 29/14 using acoustic emission techniques echo of particles G01N29/046; measuring mechanical vibrations or acoustic waves in solids in general G01H1/00
• CPC Class Codes: G01N 29/326 compensating for temperature variations
• CPC Class Codes: G01N 29/46 by spectral analysis, e.g. Fourier analysis or wavelet analysis spectral signal processing per se G06F17/14
• CPC Class Codes: G08B 19/02 Alarm responsive to formation or anticipated formation of ice

Abstract

An apparatus for determining a road pavement surface condition over a wide area has a road noise sensor (12). A temporal frequency analyzer (18) converts a road noise signal from the road noise sensor (12) to a temporal frequency signal. A processing circuit (20) receives the temporal frequency signal from the temporal frequency analyzer (18) and analyzes the temporal frequency signal to determine the road pavement surface condition.

Claims

1. A method of detecting a road pavement surface condition comprising the steps of:

(a) detecting a road noise created by a vehicle traveling along a road;

(b) determining a temporal frequency content of the road noise; and

(c) analyzing the temporal frequency content to determine the road pavement surface condition.

2. The method of claim 1, wherein step (a) further includes the steps of:

(a1) receiving the road noise at a sound energy detection sensor;

(a2) digitizing the road noise.

3. The method of claim 1, wherein step (b) further includes the step of performing a temporal frequency transform of the road noise.

4. The method of claim 1, wherein step (b) further includes the steps of:

(b1) filtering the road noise into at least two frequency bands;

(b2) detecting an energy for the at least two frequency bands.

5. The method of claim 4, wherein step (c) further includes the steps of:

(c1) comparing an energy content of the at least frequency bands;

(c2) when a ratio of the energy content of the at least two frequency bands is within a predetermined range, determining that a road condition exists.

6. The method of claim 1, wherein step (c) further includes the steps of:

(c1) storing a dry road pavement surface condition temporal frequency data;

(c2) comparing the temporal frequency content to the dry road pavement surface condition temporal frequency data.

7. The method of claim 6, further including the steps of:

(c3) when the temporal frequency content deviates from the dry road pavement surface condition temporal frequency data in a predetermined manner, determining that a condition exists other than a dry road pavement surface condition.

8. The method of claim 1, further including the step of:

(d) sensing a temperature near the road.

9. The method of claim 8, further including the step of:

(e) determining a temperature trend;

(f) analyzing the temperature trend and the road noise to predict if the road pavement surface condition is about to change.

10. An apparatus of determining a road pavement surface condition, comprising:

a road noise sensor;

a temporal frequency analyzer converting a road noise signal from the road noise sensor to a temporal frequency signal; and

a processing circuit receiving the temporal frequency signal from the temporal frequency analyzer and analyzing the temporal frequency signal to determine the road pavement surface condition.

11. The apparatus of claim 10, further including a temperature sensor, the temperature sensor sending a temperature signal to the processing circuit.

12. The apparatus of claim 11, wherein the processing circuit determines a temperature trend from the temperature signal.

13. The apparatus of claim 10, wherein the temporal frequency analyzer includes at least one frequency filter.

14. The apparatus of claim 10, wherein the processing circuit is a microprocessor.

15. The apparatus of claim 10, further including a communication output coupled to the processing circuit.

16. The apparatus of claim 10, wherein the road noise sensor is located at a fixed point relative to a road structure.

17. A method for determining a state of a road pavement, comprising the steps of:

(a) detecting, with a road noise sensor mounted on a moving vehicle, an energy emission from a tire impacting the road to form a detected signal;

(b) converting the detected signal into a temporal spectral content; and

(c) analyzing the temporal spectral content to determine the state of the road pavement.

18. The method of claim 17, wherein step (a) further includes the step of:

(a1) detecting, with a temperature sensor on the moving vehicle, a temperature near the road pavement;

(a2) determining a temperature trend.

19. The method of claim 18, wherein step (c) further includes the step of:

(c1) analyzing the temperature trend and the temporal spectral content to determine the state of the road pavement.

20. The method of claim 19, wherein step (c1) further includes the step of:

(i) storing a dry state road noise temporal spectral content;

(ii) monitoring the temperature trend;

(iii) when the temporal spectral content deviates from the dry state road noise temporal spectral content in a predetermined manner and when the temperature trend is falling, determining that an ice forming state exists.