US 12,205,464 B2
Congestion management with cruise control
Liam Pedersen, San Francisco, CA (US); Fang-Chieh Chou, Sunnyvale, CA (US); Viju James, Fremont, CA (US); Najamuddin Mirza Baig, San Jose, CA (US); Katsuhiko Hirayama, Cupertino, CA (US); and Abdul Rahman Kreidieh, Oakland, CA (US)
Assigned to Nissan North America, Inc., Franklin, TN (US)
Filed by Nissan North America, Inc., Franklin, TN (US)
Filed on Jun. 30, 2022, as Appl. No. 17/855,316.
Prior Publication US 2024/0005790 A1, Jan. 4, 2024
Int. Cl. G08G 1/0967 (2006.01); B60W 30/16 (2020.01); B60W 50/14 (2020.01)
CPC G08G 1/096775 (2013.01) [B60W 30/16 (2013.01); B60W 50/14 (2013.01); B60W 2554/4042 (2020.02); B60W 2554/802 (2020.02); B60W 2556/45 (2020.02)] 19 Claims
OG exemplary drawing
 
1. A method, comprising:
receiving, from a remote server and by a processor of a vehicle, a control signal related to a road segment;
obtaining, using at least a portion of the control signal, a cruise control parameter for controlling the vehicle, wherein the cruise control parameter is obtained from a machine-learning model executing at the vehicle, the machine-learning model receives input comprising a distance to the road segment, data indicative of traffic speed, and respective speeds of other vehicles proximate to the vehicle and outputs the cruise control parameter; and
responsive to determining that a cruise control module of the vehicle is enabled, configuring the cruise control module to use the cruise control parameter, wherein the cruise control module operates to maintain the cruise control parameter for the vehicle.