METHOD FOR OPTIMIZING ASSET VALUE BASED ON DRIVER ACCELERATION AND BRAKING BEHAVIOR

• US 20150356635A1
• Filed: 05/22/2015
• Published: 12/10/2015
• Est. Priority Date: 05/23/2014
• Status: Active Application

• Current Assignee: Rochester Institute of Technology
• Original Assignee: Rochester Institute of Technology
• Inventors: Thurston, Michael
• Application Number:
  US14/720,006
• Publication Number:
  US 20150356635A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60Q 9/00 Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00 , e.g. haptic signalling
• CPC Class Codes: G06Q 30/0278 Product appraisal

Abstract

Systems and methods for optimizing asset value based on driver acceleration and braking behavior are described. The methods include collecting vehicle data, applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to acceleration and braking behavior, and tabulating the generated value over the duration of a driving event to generate a driver performance score. The methods also include evaluating the driver performance score based on a business model, and modifying subsequent driver behavior based upon the evaluation.

Claims

1. A method for optimizing asset value based on driver acceleration and braking behavior, comprising:

collecting vehicle data;

applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to acceleration and braking behavior;

tabulating the generated value over the duration of a driving event to generate a driver performance score;

evaluating the driver performance score based on a business model; and

modifying subsequent driver behavior based upon the evaluation.

2. The method of claim 1, wherein the vehicle data comprises at least one of vehicle speed, braking indication, global positioning system (GPS) position and attitude, throttle position, multi-axis vehicle acceleration data, engine torque, and tire air pressure.

3. The method of claim 1, wherein the vehicle data comprises overall at least one of vehicle weight, tire data or rolling resistance estimates, and aerodynamic configuration or drag estimates including driving vehicle and towed components.

4. The method of claim 1, wherein the vehicle data comprises at least one of weather information, including wind speed and direction, visibility information, light levels, road conditions, or traffic information.

5. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is calculated from an estimate of braking forces during a braking event.

6. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is estimated from the fuel used during an acceleration event.

7. The method of claim 1, wherein the value representing the energy or fuel wasted due to acceleration and braking behavior is calculated from an estimate of kinetic energy loss during a braking event.

8. The method of claim 1 wherein the vehicle data necessary to estimate energy loss during breaking are provided by a software interface to another business application, such as asset management or operations management systems.

9. The method of claim 1 wherein the vehicle data necessary to estimate energy loss during breaking are determined dynamically through system identification methods.

10. The method of claim 1 wherein a cargo mass of the vehicle is estimated dynamically using system identification methods and the vehicle data other than the cargo mass are provided by a software interface to another business application, such as asset management or operations management systems.

11. The method of claim 10, wherein aerodynamic drag and rolling resistance parameters are dynamically updated based on real-time data, and other available contextual information.

12. The method of claim 1, wherein acceleration and braking behavior are calculated on the vehicle in near real-time, or off the vehicle in near real-time and communicated back to the vehicle.

13. The method of claim 12 where a sequence of wasteful driver acceleration and braking metric (DABM) events exceeds a target threshold, and an alert is provided to warn the driver of a subsequent acceleration event that occurs within a time threshold and exceeds an acceleration threshold.

14. The method of claim 1, wherein acceleration and braking behavior are calculated off the vehicle after completion of a driving sequence and driver acceleration and braking metric (DABM) results used to assess a driving performance in driving conditions, or aggregated over the entire sequence to determine an overall driving performance metric.

15. The method of claim 14, wherein the driver performance is represented in units of fuel that were wasted due to a non-ideal driver behavior.

16. The method of claim 1 wherein the weighting function is a function of time since acceleration affecting how energy losses due to braking activity are accrued by a driver acceleration and braking metric (DABM).

17. The method of claim 16 wherein a functional form of the weighing function, including the characteristic delay time of the weighting function, changes depending on vehicle operating conditions or external conditions.

18. The method of claim 17, where the characteristic delay time of the weighting function is adjusted based on a plan ahead distance and the vehicle speed at the time of acceleration.

19. The method of claim 18, where the functional form of the weighting function or the plan ahead distance is also a function of one or more parameters that include at least one of real-time traffic load data, weather conditions, light conditions, road profile including slope or curvature, type of road (such as local road or limited access highway), and proximity to intersections or interchanges.

20. A method for optimizing asset value based on driver acceleration and breaking behavior, comprising:

collecting braking and accelerating data from a vehicle;

applying a weighting function to the collected data to generate a value representing the energy or fuel wasted due to braking and accelerating behavior by an operator of the vehicle;

determining a penalty for the braking and accelerating behavior by the operator of the vehicle from the generated value; and

alerting the operator of the vehicle as to a determined penalty for the braking and accelerating behavior by the operator,

wherein the operator is alerted as to the determined penalty at a predetermined time following the braking and accelerating behavior that caused the determined penalty.

21. The method of claim 20, wherein the weighting function is a function of time.

22. The method of claim 20, wherein the weighting function is a function of distance.