Environmental traffic recognition identification prediction strategies

• US 6,510,377 B2
• Filed: 05/21/2001
• Issued: 01/21/2003
• Est. Priority Date: 05/21/2001
• Status: Expired due to Term

• Current Assignee: GM Global Technology Operations LLC (General Motors Company)
• Original Assignee: General Motors Corporation (Motors Liquidation Co. GUC Trust)
• Inventors: Yurgil, James R., Bolander, Thomas E., Allison, Ronald C., Dai, Xiaowen, Phung, Tam A.
• Primary Examiner(s): Nguyen, Tan
• Application Number:
  US09/862,222
• Publication Number:
  US 20020173903A1
• Time in Patent Office: 610 Days
• Field of Search: 701/117, 701/118, 701/119, 701/35, 701/96, 340/936, 340/903, 340/438, 340/439, 340/441, 340/436
• US Class Current: 701/117
• CPC Class Codes: B60W 2520/10 Longitudinal speed
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2554/408 Traffic behavior, e.g. swarm
• CPC Class Codes: G08G 1/0104 Measuring and analyzing of parameters relative to traffic conditions

Abstract

A method for continuously predicting the type of traffic in which a vehicle is traveling. The traffic pattern can be used in other vehicle control systems as an input to determine how to adjust system parameters, such as control loop proportional and integral gain calibrations. Vehicle speed is sampled over a variable number of sampling intervals, defining a prediction period. The prediction period varies as a function of distance traveled, and is limited for conditions where the distance interval is not reached within a particular time interval. When the prediction period is reached, average vehicle speed and speed variation over the period are determined. A lookup table incorporating average speed and speed variation is used to determine the traffic pattern. The prediction period can be shortened to quickly recognize transitions from city or highway traffic pattern.

Claims

1. A method of determining a traffic pattern in which a vehicle is traveling, comprising the steps of:

sampling a speed of the vehicle at predetermined sampling intervals;

establishing a prediction period;

performing the sampling step until the prediction period is reached;

determining an average speed and a speed variation of the vehicle upon reaching the prediction period; and

determining the traffic pattern using the average speed and the speed variation.

2. The method according to claim 1, wherein the step of determining the traffic pattern comprises the step of using a lookup table incorporating the average speed and the speed variation.

3. The method according to claim 1, wherein the prediction period is the shorter of a time interval and an amount of time it takes to travel a distance interval.

4. The method according to claim 3, further comprising the steps of:

comparing the average speed during the prediction period to a minimum speed when the traffic pattern is highway traffic; and

adjusting the distance interval by a first distance modifier based on a result of the comparing step.

5. The method according to claim 4, wherein the step of adjusting the distance interval by a first distance modifier comprises the step of subtracting the first distance modifier from the distance interval when the result of the comparing step shows that the average speed is less than the minimum speed.

6. The method according to claim 3, further comprising the steps of:

comparing the average speed during the prediction period to a maximum speed when the traffic pattern is city traffic; and

adjusting the distance interval by a second distance modifier based on a result of the comparing step.

7. The method according to claim 6, wherein the step of adjusting the distance interval by a second distance modifier comprises the step of subtracting the second distance modifier from the distance interval when the result of the comparing step shows that the average speed is less than the maximum speed.

8. The method according to claim 3, further comprising the steps of:

performing a first comparison step by comparing the average speed during the prediction period to a minimum speed when the traffic pattern is highway traffic;

performing a second comparison step by comparing the average speed during the prediction period to a maximum speed when the traffic pattern is city traffic;

adjusting the distance interval by subtracting a first distance modifier from the distance interval when the first comparison step shows that the average speed is less than the minimum speed;

adjusting the distance interval by subtracting a second distance modifier from the distance interval when the second comparison step shows that the average speed is less than the maximum speed.

9. An apparatus for determining a traffic pattern in which a vehicle is traveling, comprising:

means for sampling a speed of the vehicle at predetermined sampling intervals;

means for establishing a prediction period;

means for performing the sampling step until the prediction period is reached;

means for determining an average speed and a speed variation of the vehicle upon reaching the prediction period; and

means for determining the traffic pattern using the average speed and the speed variation.

10. The apparatus according to claim 9, wherein the means for determining the traffic pattern comprises a lookup table incorporating the average speed and the speed variation.

11. The apparatus according to claim 9, wherein the prediction period is the shorter of a time interval and an amount of time it takes to travel a distance interval.

12. The apparatus according to claim 11, further comprising:

means for comparing the average speed during the prediction period to a minimum speed when the traffic pattern is highway traffic; and

means for adjusting the distance interval by a first distance modifier based on a result of the comparing step.

13. The apparatus according to claim 12, wherein the means for adjusting the distance interval by a first distance modifier comprises means for subtracting the first distance modifier from the distance interval when the result of the comparing step shows that the average speed is less than the minimum speed.

14. The apparatus according to claim 11, further comprising:

means for comparing the average speed during the prediction period to a maximum speed when the traffic pattern is city traffic; and

means for adjusting the distance interval by a second distance modifier based on a result of the comparing step.

15. The apparatus according to claim 14, wherein the means for adjusting the distance interval by a second distance modifier comprises means for subtracting the second distance modifier from the distance interval when the result of the comparing step shows that the average speed is less than the maximum speed.

16. The apparatus according to claim 11, further comprising:

means for performing a first comparison step by comparing the average speed during the prediction period to a minimum speed when the traffic pattern is highway traffic;

means for performing a second comparison step by comparing the average speed during the prediction period to a maximum speed when the traffic pattern is city traffic;

means for adjusting the distance interval by subtracting a first distance modifier from the distance interval when the first comparison step shows that the average speed is less than the minimum speed.

means for adjusting the distance interval by subtracting a second distance modifier from the distance interval when the second comparison step shows that the average speed is less than the maximum speed.