Systems and methods for adjusting operation of a vehicle according to HOV lane detection in traffic

Patent metadata

Field	Value
Publication number	US-10202048-B2
Application number	US-201715635938-A
Country	US
Kind code	B2
Filing date	Jun 28, 2017
Priority date	Jun 28, 2017
Publication date	Feb 12, 2019
Grant date	Feb 12, 2019

Abstract

System, methods, and other embodiments described herein relate to preemptively controlling one or more vehicle systems of a vehicle. In one embodiment, a method includes, in response to (i) detecting that a present traffic level along a route of the vehicle satisfies a congestion threshold and (ii) detecting that a type of roadway on which the vehicle is traveling is a highway, determining whether the vehicle is traveling in a high occupancy vehicle (HOV) lane by identifying whether a number of passengers in the vehicle satisfies an HOV threshold. The method includes adjusting the one or more vehicle systems within the vehicle according to whether the number of passengers satisfies the HOV threshold to cause the vehicle to operate efficiently while traveling along the route with the present traffic level.

First claim

What is claimed is:

1. A traffic system for preemptively controlling one or more vehicle systems of a vehicle, comprising:
one or more processors;
a memory communicably coupled to the one or more processors and storing:
a monitoring module including instructions that when executed by the one or more processors cause the one or more processors to, in response to (i) detecting that a present traffic level along a route of the vehicle satisfies a congestion threshold and (ii) detecting that a type of roadway on which the vehicle is traveling is a highway, determine whether the vehicle is traveling in a high occupancy vehicle (HOV) lane by identifying whether a number of passengers in the vehicle satisfies an HOV threshold to infer that the vehicle is traveling in the HOV lane without directly detecting in which lane the vehicle is traveling; and
a control module including instructions that when executed by the one or more processors cause the one or more processors to adjust operating parameters of the one or more vehicle systems according to whether the number of passengers satisfies the HOV threshold to cause the vehicle to operate efficiently while traveling along the route with the present traffic level.

2. The traffic system of claim 1 , wherein the monitoring module further includes instructions to detect the type of the roadway by electronically querying a navigation system of the vehicle to request an identifier of the type of the roadway and, in response to the querying, receive an electronic indicator that specifies the type of the roadway and whether the highway includes the HOV lane.

3. The traffic system of claim 2 , wherein the indicator of the type of the roadway further specifies the HOV threshold, and wherein the HOV threshold specifies how many passengers are to be within the vehicle for the vehicle to qualify for driving in the HOV lane.

4. The traffic system of claim 1 , wherein the monitoring module further includes instructions to detect that the present traffic level satisfies the congestion threshold by controlling one or more sensors of the vehicle to determine whether traffic along the route and ahead of the vehicle up to a specified range is of at least a density indicated by the congestion threshold, and wherein the congestion threshold specifies a density for the traffic that impedes driving at posted speed limits.

5. The traffic system of claim 1 , wherein the monitoring module further includes instructions to identify whether the number of passengers in the vehicle satisfies the HOV threshold by controlling one or more sensors of the vehicle to determine the number of the passengers and whether the number of the passengers exceeds the HOV threshold.

6. The traffic system of claim 1 , wherein the control module further includes instructions to adjust the one or more vehicle systems by adjusting a boundary level for a state of charge (SOC) of a vehicle battery within the vehicle to pre-charge the battery to the boundary level to account for traffic flow while traveling in the present traffic level.

7. The traffic system of claim 1 , wherein the control module further includes instructions to adjust the one or more vehicle systems by controlling the vehicle to pre-charge a vehicle battery.

8. The traffic system of claim 1 , wherein the vehicle is a hybrid electric vehicle.

9. A non-transitory computer-readable medium for controlling one or more vehicle systems of a vehicle and storing instructions that when executed by one or more processors cause the one or more processors to:
in response to (i) detecting that a present traffic level along a route of the vehicle satisfies a congestion threshold and (ii) detecting that a type of roadway on which the vehicle is traveling is a highway, determine whether the vehicle is traveling in a high occupancy vehicle (HOV) lane by identifying whether a number of passengers in the vehicle satisfies an HOV threshold to infer that the vehicle is traveling in the HOV lane without directly detecting in which lane the vehicle is traveling; and
adjust operating parameters of the one or more vehicle systems according to whether the number of passengers satisfies the HOV threshold to cause the vehicle to operate efficiently while traveling along the route with the present traffic level.

10. The non-transitory computer-readable medium of claim 9 , wherein the instructions to detect the type of the roadway include instructions to electronically query a navigation system of the vehicle to request an identifier of the type of the roadway and, in response to the querying, receive an electronic indicator that specifies the type of the roadway and whether the highway includes the HOV lane.

11. The non-transitory computer-readable medium of claim 10 , wherein the indicator of the type of the roadway further specifies the HOV threshold, and wherein the HOV threshold specifies how many passengers are to be within the vehicle for the vehicle to qualify for driving in the HOV lane.

12. The non-transitory computer-readable medium of claim 9 , wherein the instructions to detect that the present traffic level satisfies the congestion threshold include instructions to control one or more sensors of the vehicle to determine whether traffic along the route and ahead of the vehicle up to a specified range is of at least a density indicated by the congestion threshold, and wherein the congestion threshold specifies a density for the traffic that impedes driving at posted speed limits.

13. The non-transitory computer-readable medium of claim 9 , wherein the instructions to identify whether the number of passengers in the vehicle satisfies the HOV threshold include instructions to control one or more sensors of the vehicle to determine the number of the passengers and whether the number of the passengers exceeds the HOV threshold.

14. A method for preemptively controlling one or more vehicle systems of a vehicle, comprising:
in response to (i) detecting that a present traffic level along a route of the vehicle satisfies a congestion threshold and (ii) detecting that a type of roadway on which the vehicle is traveling is a highway, determining whether the vehicle is traveling in a high occupancy vehicle (HOV) lane by identifying whether a number of passengers in the vehicle satisfies an HOV threshold to infer that the vehicle is traveling in the HOV lane without directly detecting in which lane the vehicle is traveling; and
adjusting operating parameters of the one or more vehicle systems within the vehicle according to whether the number of passengers satisfies the HOV threshold to cause the vehicle to operate efficiently while traveling along the route with the present traffic level.

15. The method of claim 14 , wherein detecting that the type of the roadway includes electronically querying a navigation system of the vehicle to request an identifier of the type of the roadway and, in response to the querying, receiving an electronic indicator that specifies the type of the roadway and whether the highway includes the HOV lane.

16. The method of claim 15 , wherein the indicator of the type of the roadway further specifies the HOV threshold, and wherein the HOV threshold specifies how many passengers are to be within the vehicle for the vehicle to qualify for driving in the HOV lane.

17. The method of claim 14 , wherein detecting that the present traffic level satisfies the congestion threshold includes controlling one or more sensors of the vehicle to determine whether traffic along the route and ahead of the vehicle up to a specified range is of a density i

Assignees

• Toyota Eng & Mfg North America

Inventors

• Payne Joshua D
• Wrobel Shannon Alicia
• Stefanon Heraldo F
• Aoki Takanori

Classifications

• B60W2554/00

  Input parameters relating to objects · CPC title

• B60W2556/50

  of positioning data, e.g. GPS [Global Positioning System] data · CPC title

• Y10S903/903

  having energy storing means, e.g. battery, capacitor · CPC title

• B60W40/08

  related to drivers or passengers · CPC title

• B60L2240/64

  Road conditions · CPC title