METHODS FOR DETECTION OF DRIVING CONDITIONS AND HABITS

• US 20120053805A1
• Filed: 08/29/2011
• Published: 03/01/2012
• Est. Priority Date: 08/30/2010
• Status: Abandoned Application

• Current Assignee: University of North Texas
• Original Assignee: University of North Texas
• Inventors: Dantu, Ramanamurthy
• Application Number:
  US13/220,420
• Publication Number:
  US 20120053805A1
• Time in Patent Office: Days
• US Class Current: 701/70
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2420/905 the sensor being an xyz axis sensor
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]

Abstract

A method for detecting and analyzing driving performance and habits as well as road conditions utilizes a smartphone having an accelerometer and a microphone. Acceleration in the x, y, and z axis can be measured as a function of time and at particular velocities to provide valuable information about driver habits, vehicle performance, and road conditions.

Claims

1. A method for analyzing vehicle performance in a subject vehicle, comprising:

placing a smartphone in the subject vehicle, wherein the smartphone includes a 3-axis accelerometer and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis;

collecting data from the accelerometer relating to acceleration and deceleration in the y-axis as a function of time;

identifying time periods of deceleration in the y-axis that represent a start and a finish of a gear shift;

calculating velocity at each start of a gear shift; and

using the calculated velocity at each start of a gear shift to analyze gear shift efficiency for the subject vehicle.

2. The method of claim 2, further comprising the step of wirelessly transmitting the data collected from the accelerometer relating to acceleration and deceleration in the y-axis as a function of time to a central server for further analysis of the data.

3. A method for analyzing vehicle comfort in a subject vehicle, comprising:

placing a smartphone in the subject vehicle, wherein the smartphone includes a 3-axis accelerometer and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis;

collecting data from the accelerometer relating to acceleration and deceleration in the z-axis to indicate the presence and severity of vehicle vibration at a selected velocity; and

determining the relative level of vehicle comfort by analyzing the presence and severity of vehicle vibration based on z-axis acceleration.

4. The method of claim 3, further comprising the step of wirelessly transmitting the data collected from the accelerometer relating to acceleration and deceleration in the z-axis as a function of time to a central server for further analysis of the data.

5. A method for analyzing vehicle comfort in a subject vehicle, comprising:

placing a smartphone in the subject vehicle, wherein the smartphone includes a microphone and an operating system platform capable of collecting data from the microphone relating to noise level;

collecting data from the microphone relating to noise level while driving to indicate the presence and severity of vehicle vibration at a selected velocity; and

determining the relative level of vehicle comfort by analyzing the presence and severity of vehicle vibration based on noise level.

6. The method of claim 5, further comprising the step of wirelessly transmitting the data collected from the microphone relating noise level to a central server for further analysis of the data.

7. A method for analyzing vehicle comfort in a subject vehicle, comprising:

placing a smartphone in the subject vehicle, wherein the smartphone includes a 3-axis accelerometer, a microphone, and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis and capable of collecting data from the microphone relating to noise level;

collecting data from the accelerometer relating to acceleration and deceleration in the z-axis to indicate the presence and severity of vehicle vibration at a selected velocity;

collecting data from the microphone relating to noise level while driving to indicate the presence and severity of vehicle vibration at the selected velocity; and

determining the relative level of vehicle comfort by analyzing the presence and severity of vehicle vibration based on z-axis acceleration and noise level.

8. The method of claim 7, further comprising the step of wirelessly transmitting the data collected from the microphone relating noise level to a central server for further analysis of the data.

10. The method of claim 7, further comprising the step of wirelessly transmitting the data collected from the accelerometer relating to acceleration and deceleration in the y-axis to a central server for further analysis of the data.

9. A method for analyzing a driver'"'"'s tendencies to safely or unsafely accelerate or decelerate, comprising:

placing a smartphone in the subject vehicle, wherein the smartphone includes a 3-axis accelerometer and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis;

collecting data from the accelerometer relating to acceleration and deceleration in the y-axis as a function of time;

identifying time periods of acceleration and deceleration in the y-axis, wherein the time periods of acceleration and deceleration are represented by inclines and declines having a slope in the collected data as it is related to time; and

determining the relative safety of the driver'"'"'s acceleration or deceleration by analyzing the slope of the inclines and declines, wherein steep slopes indicate a lack of safety and gradual slopes indicate safety.

11. A method for determining a safe stopping distance for a subject vehicle traveling at a rate of speed, comprising:

placing a smartphone in the subject vehicle wherein the smartphone includes a 3-axis accelerometer and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis;

collecting data from the accelerometer relating to acceleration in the y-axis as a function of time;

identifying time periods of acceleration in the y-axis that represent a start and a stop of acceleration; and

calculating the safe stopping distance at a stop of acceleration using the data collected relating to acceleration.

12. The method of claim 11, wherein the safe stopping distance is calculated by calculating the velocity at the stop of acceleration using a single integration of the collected data.

13. The method of claim 11, wherein the safe stopping distance is calculated by calculating the distance at the stop of acceleration using two integrations of the collected data.

14. The method of claim 11, further comprising the step of wirelessly transmitting the data collected from the accelerometer relating to acceleration in the y-axis to a central server for further analysis of the data.

15. A method for analyzing a driver'"'"'s tendencies to safely or unsafely change lanes, comprising:

placing a smartphone in the subject vehicle, wherein the smartphone includes a 3-axis accelerometer and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis;

collecting data from the accelerometer relating to acceleration and deceleration in the x-axis as a function of time;

identifying time periods of acceleration and deceleration in the x-axis, wherein the time periods of acceleration and deceleration are represented by inclines and declines having a slope in the collected data as it is related to time; and

determining the relative safety of the driver'"'"'s lane changes by analyzing the slope of the inclines and declines, wherein steep slopes indicate a lack of safety and gradual slopes indicate safety.

16. The method of claim 15, further comprising the step of wirelessly transmitting the data collected from the accelerometer relating to acceleration in the x-axis to a central server for further analysis of the data.

17. A method for analyzing road conditions, comprising:

placing a smartphone in a subject vehicle, wherein the smartphone includes a 3-axis accelerometer and an operating system platform capable of collecting data from the accelerometer relating to an x-axis, y-axis, and z-axis;

collecting data from the accelerometer relating to acceleration and deceleration in the z-axis to identify the presence and severity of road surface irregularities at a selected velocity and as a function of time; and

determining the relative quality of road conditions by analyzing the presence and severity of road surface irregularities based on z-axis acceleration.

18. The method of claim 17, further comprising the step of calculating the height of the road surface irregularities by performing two integrations of the data collected from the accelerometer relating to acceleration and deceleration in the z-axis.

19. The method of claim 17, further comprising the steps of placing a GPS device in the subject vehicle and measuring GPS coordinates correlating to regions of identified road surface irregularities.

20. The method of claim 19, further comprising the step of producing a map of road surface irregularities using the measured GPS coordinates.