TRAFFIC COMPLEXITY ESTIMATION

• US 20160314690A1
• Filed: 04/23/2015
• Published: 10/27/2016
• Est. Priority Date: 04/23/2015
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Yang, Hsin-hsiang, Prakah-Asante, Kwaku O., Tseng, Fling Finn, Trombley, Roger Arnold
• Granted Patent: US 9,821,812 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: B60W 2050/143 Alarm means
• CPC Class Codes: B60W 2050/146 Display means
• CPC Class Codes: B60W 2554/80 Spatial relation or speed relative to objects
• CPC Class Codes: B60W 2554/803 Relative lateral speed
• CPC Class Codes: B60W 2554/804 Relative longitudinal speed
• CPC Class Codes: B60W 40/04 Traffic conditions
• CPC Class Codes: B60W 50/0097 Predicting future conditions
• CPC Class Codes: B60W 50/16 Tactile feedback to the driver, e.g. vibration or force feedback to the driver on the steering wheel or the accelerator pedal
• CPC Class Codes: G08G 1/166 for active traffic, e.g. moving vehicles, pedestrians, bikes
• CPC Class Codes: G08G 1/167 Driving aids for lane monitoring, lane changing, e.g. blind spot detection

Abstract

A vehicle system includes at least one environmental sensor and a processing device. The environmental sensor is programmed to collect traffic information. The processing device is programmed to receive the traffic information, generate a traffic complexity index based at least in part on the traffic information, compare the traffic complexity index to a predetermined threshold, and generate a traffic alert signal if the traffic complexity index exceeds the predetermined threshold.

Claims

1. A vehicle system comprising:

at least one environmental sensor programmed to collect traffic information representing movement of a plurality of surrounding vehicles relative to a host vehicle; and

a processing device programmed to receive the traffic information, generate a traffic complexity index based at least in part on the traffic information, compare the traffic complexity index to a predetermined threshold, and generate a traffic alert signal if the traffic complexity index exceeds the predetermined threshold.

2. The vehicle system of claim 1, wherein the processing device is programmed to generate the traffic complexity index based at least in part on a longitudinal complexity value and a lateral complexity value, wherein the longitudinal and lateral complexity values are associated with the longitudinal and lateral movement, respectively, of the plurality of surrounding vehicles.

3. The vehicle system of claim 2, wherein the processing device is programmed to generate the traffic complexity index by aggregating the longitudinal complexity value and the lateral complexity value.

4. The vehicle system of claim 2, wherein the processing device is programmed to weigh the longitudinal complexity value greater than the lateral complexity value.

5. The vehicle system of claim 2, wherein the processing device is programmed to weigh the lateral complexity value greater than the longitudinal complexity value.

6. The vehicle system of claim 1, wherein the processing device is programmed to output the traffic alert signal to a user interface device.

7. The vehicle system of claim 6, wherein the traffic alert signal includes a command for the user interface device to present at least one of an audible alert, a visible alert, and a tactile alert.

9. The vehicle system of claim 1, wherein the processing device is programmed to weigh the movement of the plurality of surrounding vehicles based on a proximity of each surrounding vehicle to the host vehicle.

10. The vehicle system of claim 9, wherein the processing device is programmed to weigh movement of the surrounding vehicles closer to the host vehicle greater than movement of the surrounding vehicles further away from the host vehicle.

12. The vehicle system of claim 9, wherein lateral movement of the surrounding vehicles relative to the host vehicle is weighed greater than longitudinal movement of the surrounding vehicles relative to the host vehicle.

13. The vehicle system of claim 1, wherein the processing device is programmed to predict driving demand based at least in part on the traffic complexity index.

21. The vehicle system of claim 2, wherein the processing device is programmed to:

separate the longitudinal complexity value and the lateral complexity value from the traffic information for each of the plurality of surrounding vehicles,

aggregate the separated longitudinal complexity values for each of the surrounding vehicles,

aggregate the lateral complexity values for each of the surrounding vehicles, and

generate the traffic control index from the aggregated longitudinal complexity values and the aggregated lateral complexity values.

22. The vehicle system of claim 1, wherein the predetermined threshold is based at least in part on an amount of driver demand and workload caused by the movement of the plurality of surrounding vehicles.

8. (canceled)

11. (canceled)

14. A method comprising:

receiving traffic information representing movement of a plurality of surrounding vehicles relative to a host vehicle;

generating a traffic complexity index based at least in part on the traffic information;

comparing the traffic complexity index to a predetermined threshold; and

generating a traffic alert signal if the traffic complexity index exceeds the predetermined threshold.

15. The method of claim 14, further comprising extracting a longitudinal complexity value and a lateral complexity value for each of the plurality of surrounding vehicles from the traffic information, and wherein the traffic complexity index is generated based at least in part on the longitudinal complexity values and the lateral complexity values.

16. The method of claim 15, wherein generating the traffic complexity index includes aggregating the longitudinal complexity values for each of the plurality of surrounding vehicles and the lateral complexity values for each of the plurality of surrounding vehicles.

17. The method of claim 16, wherein generating the traffic complexity index includes weighing the aggregated lateral complexity values greater than the aggregated longitudinal complexity values.

18. The method of claim 14, further comprising outputting the traffic alert signal to a user interface device with a command for the user interface device to present at least one of an audible alert, a visible alert, and a tactile alert.

19. The method of claim 14, wherein the traffic complexity index is based at least in part on movement of surrounding vehicles relative to a host vehicle.

20. A vehicle system comprising:

a user interface device;

at least one environmental sensor programmed to collect traffic information associated with movement of a plurality of surrounding vehicles relative to a host vehicle, the movement including lateral movement and longitudinal movement; and

a processing device programmed to receive the traffic information, extract a lateral complexity value for each of the plurality of surrounding vehicles from the traffic information, extract a longitudinal complexity value for each of the plurality of surrounding vehicles from the traffic information, generate a traffic complexity index by aggregating the lateral and longitudinal complexity values, compare the traffic complexity index to a predetermined threshold, and generate a traffic alert signal if the traffic complexity index exceeds the predetermined threshold,

wherein the processing device is programmed to output the traffic alert signal to the user interface device and wherein the user interface device is programmed to generate at least one of an audible alert, a visible alert, and a tactile alert in response to receiving the traffic alert signal.