IP Library Granted Patent US 9,858,811
Granted Patent B2
US 9,858,811 · App. 14/518,144 · Granted Jan 2, 2018

Vehicle traffic management

Inventors: Shmuel Ur (Galil, IL); Ariel Fligler (Hod-Hasharon, IL)
Assignee: EMPIRE TECHNOLOGY DEVELOPMENT LLC
G08G1/00G01C21/3492G08G1/143G08G1/147
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Quick Facts
Patent No.
US 9,858,811
App. No.
14/518,144
Granted
Jan 2, 2018
Kind
B2
Abstract

In some examples, reducing traffic includes locating an available remote location within a predetermined distance of the particular destination, socializing an identity of the remote location, and minimizing traffic disruptions at the available remote location for a predetermined amount of time.

Claims (44)

1. A non-transitory computer-readable medium that stores instructions that, when executed by an automated vehicle comprising one or more processors, cause the one or more processors to execute vehicle-directing instructions that comprise:

monitor traffic volume within a threshold distance of a destination at which arrival is intended at a predetermined time;

identify a road, within the threshold distance of the destination, on which a traffic volume is less than a threshold level;

navigate the automated vehicle to the identified road;

stop the automated vehicle at an intermediary point on the identified road until a traffic condition is met between the intermediary point and the destination; and

responsive to the traffic condition being met, navigate the automated vehicle towards the destination.

2. The non-transitory computer-readable medium of claim 1 , wherein the intermediary point is in a traffic lane on the identified road.

3. The non-transitory computer-readable medium of claim 1 , wherein the non-transitory computer-readable medium is executable on a navigation technology device.

4. The non-transitory computer-readable medium of claim 1 , wherein the vehicle-directing instructions to identify the road comprises vehicle-directing instructions to receive traffic information via a social driving network.

5. The non-transitory computer-readable medium of claim 1 , wherein the vehicle-directing instructions to identify the road comprises vehicle-directing instructions to exchange traffic information with other automated vehicles located within the threshold distance of the destination.

6. The non-transitory computer-readable medium of claim 1 , wherein the vehicle-directing instructions to navigate the automated vehicle comprises vehicle-directing instructions to execute navigational directions.

7. The non-transitory computer-readable medium of claim 1 ,

wherein the vehicle-directing instructions to stop the automated vehicle comprises vehicle-directing instructions to park the automated vehicle at the intermediary point, and

further wherein the intermediary point is an identified legal parking space.

8. The non-transitory computer-readable medium of claim 1 , wherein the traffic condition includes approaching, within a preset time range, the predetermined time at which arrival at the destination is intended.

9. The non-transitory computer-readable medium of claim 1 ,

wherein the vehicle-directing instructions to stop the automated vehicle comprises vehicle-directing instructions to bring the automated vehicle to a complete stop at the intermediary point, and

further wherein the intermediary point is a point on a road that intersects with the identified road.

10. The non-transitory computer-readable medium of claim 1 , wherein the traffic condition includes at least a specific number of cars being detected as present within a specific distance proximate to the intermediary point.

11. The non-transitory computer-readable medium of claim 1 , wherein the vehicle-directing instructions to navigate the automated vehicle towards the destination includes vehicle-directing instructions to navigate the automated vehicle to another intermediary point on the identified road.

12. The non-transitory computer-readable medium of claim 1 , wherein the vehicle-directing instructions to navigate the automated vehicle towards the destination includes vehicle-directing instructions to navigate the automated vehicle to another intermediary point on a road other than the identified road.

13. A navigation system for an automated vehicle, the navigation system comprising:

a traffic data interface configured to receive, at regular time intervals, traffic information within a predetermined radius of a final destination for the automated vehicle;

a traffic detector configured to detect vehicles adjacent to the automated vehicle; and

a navigator configured to:

identify a temporary stopping point for the automated vehicle within the predetermined radius of the final destination based on the traffic information received by the traffic data interface,

navigate the automated vehicle to the identified temporary stopping point,

stop the automated vehicle at the identified temporary stopping point until a traffic condition is met between the temporary stopping point and the final destination, and

navigate the automated vehicle away from the identified temporary stopping point responsive to the traffic condition being met.

14. The navigation system of claim 13 , wherein the traffic data interface is configured to receive the traffic information via a social network.

15. The navigation system of claim 13 , wherein the traffic data interface is configured to receive, via a short-range communication protocol, the traffic information from other automated vehicles located within the predetermined radius of the final destination.

16. The navigation system of claim 13 , wherein the temporary stopping point is a legal parking space.

17. The navigation system of claim 13 , wherein the traffic condition includes approaching, within a preset number of minutes, an appointed time at which the automated vehicle is scheduled to be at the final destination.

18. The navigation system of claim 13 , wherein the temporary stopping point is in a traffic lane.

19. The navigation system of claim 13 , wherein the traffic condition includes detection, by the traffic detector, of another vehicle impeded by the automated vehicle that is stopped in a traffic lane.

20. A computer-implemented method performed at a client device to reduce traffic using one or more processors, the one or more processors being configured to execute instructions stored in a memory of the client device, the computer-implemented method comprising:

obtaining, by a traffic detector, navigation data that indicates traffic information related to a number of vehicles adjacent to an automated vehicle, wherein obtaining the navigation data comprises obtaining data from one or more of a navigational satellite, a radar detector device, a sonar detector device, and a video capturing device;

in response to an indication that the number of vehicles adjacent to the automated vehicle exceeds a particular threshold level:

locating, by a navigator, an available remote location within a predetermined distance of a particular destination for the automated vehicle;

socializing to identify an identity of the available remote location; and

minimizing traffic disruptions at the available remote location, wherein minimizing includes instructing another vehicle located at the available remote location to leave the available remote location when traffic volume at the available remote location rises to a predetermined threshold level.

21. The computer-implemented method of claim 20 , wherein the locating includes receiving traffic information from vehicles located within the predetermined distance of the particular destination.

22. The computer-implemented method of claim 20 , wherein the socializing includes identifying the available remote location via a social network.

23. The computer-implemented method of claim 20 , wherein the socializing includes transmitting an identification of the available remote location using a short-range communication protocol.

Assignments (8)
RELEASE OF SECURITY INTEREST IN PATENTS, RECORDED ON JANUARY 29, 2019 AT REEL 048373 FRAME 0217 Recorded Sep 22, 2025
From: CRESTLINE DIRECT FINANCE, L.P., AS COLLATERAL AGENT
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 072936/0464 →
CORRECTIVE ASSIGNMENT TO CORRECT THE SPELLING IN ASSIGNEE IS INCORRECT, IT SHOULD BE "XINCTEC" NOT "XINCTEK" PREVIOUSLY RECORDED AT REEL: 052290 FRAME: 0515. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Recorded Dec 3, 2020
From: EMPIRE TECHNOLOGY DEVELOPMENT LLC
To: XINCTEC TECHNOLOGIES LLC
Reel/Frame 054542/0311 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 2, 2020
From: EMPIRE TECHNOLOGY DEVELOPMENT LLC
To: XINCTEC TECHNOLOGIES LLC
Reel/Frame 052290/0515 →
RELEASE OF SECURITY INTEREST Recorded Jan 2, 2020
From: CRESTLINE DIRECT FINANCE, L.P.
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 051404/0828 →
SECURITY INTEREST Recorded Jan 29, 2019
From: EMPIRE TECHNOLOGY DEVELOPMENT LLC
To: CRESTLINE DIRECT FINANCE, L.P.
Reel/Frame 048373/0217 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 20, 2014
From: FLIGLER, ARIEL
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 033980/0438 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 20, 2014
From: SHMUEL UR INNOVATION LTD
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 033980/0479 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 20, 2014
From: UR, SHMUEL
To: EMPIRE TECHNOLOGY DEVELOPMENT LLC
Reel/Frame 034016/0471 →
Continuity (1)
Related Publication 20160110997A1 · Apr 21, 2016