Generating safety report for fleet of vehicles

• US 20080255869A1
• Filed: 04/12/2008
• Published: 10/16/2008
• Est. Priority Date: 02/02/2004
• Status: Abandoned Application

• Current Assignee: Trimble Navigation Limited (Trimble Inc.)
• Original Assignee: Trimble Navigation Limited (Trimble Inc.)
• Inventors: Reynolds, James C., Young, Ayden F.
• Application Number:
  US12/082,487
• Publication Number:
  US 20080255869A1
• Time in Patent Office: Days
• US Class Current: 705/1
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling

Abstract

A method of generating a safety report for a fleet of vehicles comprising: (A) collecting a raw acceleration data for an each maneuver for each vehicle by using a firmware in a vehicle-based mobile unit, wherein the vehicle-based mobile unit comprises a computer processor, and a navigation system including a navigation receiver; (B) processing the collected raw acceleration data; and (C) transmitting the collected processed acceleration data to a database.

Claims

1. A method of generating a safety report for a fleet of vehicles comprising:

(A) collecting a raw acceleration data for an each maneuver for each said vehicle by using a firmware in a vehicle-based mobile unit, said vehicle-based mobile unit comprising a computer processor, and a navigation system including a navigation receiver;

(B) processing said collected raw acceleration data; and

(C) transmitting said collected processed acceleration data to a database.

2. The method of claim 1, wherein said step (A) further comprises:

(A1) collecting said raw acceleration data for each said maneuver for each said vehicle by using said firmware in said vehicle-based mobile unit;

wherein each said maneuver is selected from the group consisting of;

{a right turn when said vehicle is loaded;

a left turn when said vehicle is loaded;

a start when said vehicle is loaded;

a stop when said vehicle is loaded;

a turn when said vehicle is unloaded;

a start when said vehicle is unloaded; and

a stop when said vehicle is unloaded}.

3. The method of claim 1, wherein said step (A) further comprises:

(A2) collecting said raw acceleration data for each said maneuver for each said vehicle by using said firmware in said vehicle-based mobile unit;

wherein each said maneuver is selected from the group consisting of;

{a turn when said vehicle is loaded;

a turn when said vehicle is loaded;

a start when said vehicle is loaded;

a stop when said vehicle is loaded;

a turn when said vehicle is unloaded;

a start when said vehicle is unloaded; and

a stop when said vehicle is unloaded}.

4. The method of claim 1, wherein said step (A) further comprises:

(A3) collecting said raw acceleration data for each said maneuver for each said vehicle by using said firmware in said vehicle-based mobile unit;

wherein each said maneuver is selected from the group consisting of;

{a turn;

a start; and

a stop}.

5. The method of claim 1, wherein said step (B) further comprises:

(B1) reserving a set of data “

bins”

for each said set of acceleration data collected for one said maneuver;

wherein each said bin includes a count of the occurrences of an acceleration value in a particular range;

(B2) calculating a maximum raw acceleration value for each said particular range of acceleration values for said one maneuver;

(B3) incrementing a count in the bin in which said calculated maximum acceleration value falls for said one maneuver;

and

(B4) repeating said steps (B1-B3) for each said maneuver.

6. The method of claim 5 further comprising:

(B5) inputting a set of bin data for said fleet of vehicles for each said maneuver;

(B6) applying a bin weighting factor for each said bin data;

(B7) calculating a mean and a standard deviation for each said maneuver for said fleet of vehicles;

and

(B8) storing said set of said mean and said standard deviation values for each said maneuver for said fleet of vehicles.

7. The method of claim 5 further comprising:

(B9) inputting set of bin data for each said maneuver;

(B10) applying a bin weighting factor for each said bin data;

(B11) calculating a score for each said maneuver for each said vehicle by using said mean and said standard deviation calculated for each said maneuver for said fleet of vehicles in said step (B7);

(B12) storing said set of scores for each said maneuver for each said vehicle in said database;

and

(B13) generating a report for each said maneuver for each said vehicle.

8. The method of claim 7 further comprising:

(B14) inputting said set of scores for each said maneuver for each said vehicle;

(B15) applying a maneuver weighting factor;

(B16) calculating a set of weighted composite scores for all said maneuvers for each said vehicle;

(B17) storing said set of weighted composite scores and said set of maneuver weighting factors for each said vehicle in said database;

and

(B18) generating a report including said set of weighted composite scores and said set of maneuver weighting factors for each said vehicle.

9. The method of claim 1, wherein said step (C) further comprises:

(C1) transmitting said report including said set of weighted composite scores and said set of maneuver weighting factors for each said vehicle to a Web site by using a wireless modem.

10. The method of claim 1, wherein said step (C) of transmitting said collected processed acceleration data to said database further comprises:

(C2) transmitting a set of bin data for each said maneuver for each said vehicle to a Web site for further processing and for generating a safety report.

11. An apparatus for generating a safety report for a fleet of vehicles comprising:

(A) at least one means for collecting a raw acceleration data;

(B) a means for processing said collected raw acceleration data;

and

(C) a means for transmitting said collected processed acceleration data to a database.

12. The apparatus of claim 11, wherein each said means (A) further comprises:

(A1) a navigation system configured to collect said raw acceleration data for each maneuver for one said vehicle.

13. The apparatus of claim 11, wherein said means (A) further comprises:

(A2) a firmware configured to collect said raw acceleration data for each said maneuver for one said vehicle, wherein each said maneuver is selected from the group consisting of;

{a turn;

a start; and

a stop}.

14. The apparatus of claim 11, wherein said means (A) further comprises:

(A3) a firmware configured to collect said raw acceleration data for each said maneuver for one said vehicle, wherein each said maneuver is selected from the group consisting of;

{a right turn when said vehicle is loaded;

a left turn when said vehicle is loaded;

a start when said vehicle is loaded;

a stop when said vehicle is loaded;

a turn when said vehicle is unloaded;

a start when said vehicle is unloaded; and

a stop when said vehicle is unloaded}.

15. The apparatus of claim 11, wherein said means (B) further comprises:

(B1) a means for reserving a set of data “

bins”

for each said set of acceleration data collected for one said maneuver for each said vehicle;

wherein each said bin includes a count of the occurrences of an acceleration value in a particular range;

(B2) a means for calculating a maximum raw acceleration value for each said particular range of acceleration values for said one maneuver;

and

(B3) a means for incrementing a count in the bin in which said calculated maximum acceleration value falls for one said maneuver.

16. The apparatus of claim 11, wherein said means (B) further comprises:

(B4) a means for inputting a set of bin data for said fleet of vehicles for each said maneuver;

(B5) a means for applying a bin weighting factor for each said bin data;

(B6) a means for calculating a mean and a standard deviation for each said maneuver for said fleet of vehicles;

and

(B7) a means for storing said set of mean and standard deviation values for each said maneuver for each said vehicle in said fleet of vehicles.

17. The apparatus of claim 11, wherein said means (B) further comprises:

(B8) a means for inputting set of bin data for each said maneuver;

(B9) a means for applying a bin weighting factor for each said bin data;

(B10) a means for calculating a score for each said maneuver for each said vehicle;

(B11) a means for storing said set of scores for each said maneuver for each said vehicle in said database;

and

(B12) a means for generating a report for each said maneuver for each said vehicle.

18. The apparatus of claim 11, wherein said means (B) further comprises:

(B13) a means for inputting said set of scores for each said maneuver for each said vehicle;

(B14) a means for applying a maneuver weighting factor;

(B15) a means for calculating a set of weighted composite scores for all said maneuvers for each said vehicle;

(B16) a database configured to store said set of weighted composite scores and said set of maneuver weighting factors for each said vehicle;

and

(B17) a means for generating a report including said set of weighted composite scores and said set of maneuver weighting factors for each said vehicle.

19. The apparatus of claim 11, wherein said means (C) further comprises:

(C1) a means for transmitting said report including said set of weighted composite scores and said set of maneuver weighting factors for each said vehicle to a Website.

20. The apparatus of claim 11, wherein said means (C) further comprises:

(C2) a means for transmitting a set of bin data for each said maneuver for each said vehicle to a Website for further processing and for generating a safety report.