Methods and systems for monitoring roadway parameters

• US 9,869,630 B2
• Filed: 04/30/2014
• Issued: 01/16/2018
• Est. Priority Date: 04/30/2013
• Status: Expired due to Fees

• Current Assignee: Maxim Sokol Diamond
• Original Assignee: Maxim Sokol Diamond
• Inventors: Diamond, Maxim Sokol
• Primary Examiner(s): Allen, Andre
• Application Number:
  US14/888,052
• Publication Number:
  US 20160076991A1
• Time in Patent Office: 1,357 Days
• Field of Search: None
• CPC Class Codes: E01C 23/01 Devices or auxiliary means for setting-out or checking the configuration of new surfacing, e.g. templates, screed or reference line supports form rails E01C19/50; Applications of apparatus for measuring, indicating, or recording the surface configuration of existing surfacing, e.g. profilographs E01C23/07 takes precedence; measuring roughness or irregularity in general G01B
• CPC Class Codes: G01N 19/08 Detecting presence of flaws or irregularities
• CPC Class Codes: G01P 15/00 Measuring acceleration; Measuring deceleration; Measuring shock, i.e. sudden change of acceleration
• CPC Class Codes: G01S 19/13 Receivers
• CPC Class Codes: G06Q 10/20 Administration of product repair or maintenance
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/012 from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0133 for classifying traffic situation
• CPC Class Codes: G08G 1/0141 for traffic information dissemination

Abstract

A method and system receives, at a computing device, a plurality of data points from one or more data collection units. Each data point of the plurality of data points can include data related to road conditions for a specific section of road and each data point can be paired with GPS coordinates. The plurality of data points can be analyzed and a road condition score for each data point can be determined. The road condition score for each data point is applied to a mapping module using the GPS coordinates.

Claims

1. A computer-implemented method comprising the steps of:

receiving a plurality of data points from at least one accelerometer, each data point being paired with GPS coordinates, the at least one accelerometer including a three-axis acceleration measurement system that measures dynamic acceleration and static acceleration at a pre-determined sampling rate;

storing the plurality of data points in a road parameter database;

transforming the plurality of data points and GPS coordinates into road pavement parameter data using a calculation module, the road pavement parameter data including a road condition score related to road conditions for a specific section of road; and

applying the road pavement parameter data to a mapping module.

2. The computer-implemented method of claim 1 wherein the pre-determined sampling rate is a defined time.

3. The computer-implemented method of claim 1 wherein the pre-determined sampling rate is a defined distance.

4. The computer-implemented method of claim 1 wherein the road condition score is a standard deviation value calculated for each data point.

5. The computer-implemented method of claim 4 wherein the standard deviation value is matched to the GPS coordinates to evaluate and model road roughness for the specific section of road.

6. The computer-implemented method of claim 5 wherein the standard deviation value for each data point is visualized in a GIS system.

7. The computer-implemented method of claim 6 wherein the standard deviation value is color-coded for the specific section of road on a road condition map.

8. The computer-implemented method of claim 7 further comprising the step of providing a road condition map to a client device.

9. The computer-implemented method of claim 1 wherein the at least one accelerometer is partially integrated with a vehicle computer system.

10. The computer-implemented method of claim 1 wherein the calculation module is remote from the at least one accelerometer and the calculation module receives the plurality of data points over a wireless communication system.

11. A system comprising:

one or more processors;

one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including;

receive a plurality of data points from at least one accelerometer, each data point being paired with GPS coordinates, the at least one accelerometer including a three-axis acceleration measurement system that measures dynamic acceleration and static acceleration at a pre-determined sampling rate;

store the plurality of data points in a road parameter database;

transform the plurality of data points and GPS coordinates into road pavement parameter data using a calculation module, the road pavement parameter data including a road condition score related to road conditions for a specific section of road; and

apply the road pavement parameter data to a mapping module.

12. The system of claim 11 wherein the pre-determined sampling rate is a defined time.

13. The system of claim 11 wherein the pre-determined sampling rate is a defined distance.

14. The system of claim 11 wherein the road condition score is a standard deviation value calculated for each data point.

15. The system of claim 14 wherein the standard deviation value is matched to the GPS coordinates to evaluate and model road roughness for the specific section of road.

16. The system of claim 15 wherein the standard deviation value for each data point is visualized in a GIS system.

17. The system of claim 16 wherein the standard deviation value is color-coded for the specific section of road on a road condition map.

18. The system of claim 17 further containing instructions configured to cause the one or more processors to perform operations including:

provide a road condition map to a client device.

19. The system of claim 11 wherein the at least one accelerometer is partially integrated with a vehicle computer system.

20. The system of claim 11 wherein the calculation module is remote from the at least one accelerometer and the calculation module receives the plurality of data points over a wireless communication system.