US 11,854,391 B2
Intelligent road infrastructure system (IRIS): systems and methods
Bin Ran, Fitchburg, WI (US); Yang Cheng, Middleton, WI (US); Shen Li, Madison, WI (US); Zhen Zhang, Madison, WI (US); Fan Ding, Madison, WI (US); Huachun Tan, Madison, WI (US); Yuankai Wu, Madison, WI (US); Shuoxuan Dong, Madison, WI (US); Linhui Ye, Madison, WI (US); Xiaotian Li, Madison, WI (US); Tianyi Chen, Madison, WI (US); and Kunsong Shi, Madison, WI (US)
Assigned to CAVH LLC, Fitchburg, WI (US)
Filed by CAVH LLC, Fitchburg, WI (US)
Filed on Oct. 21, 2020, as Appl. No. 17/076,585.
Application 17/076,585 is a continuation of application No. 16/267,836, filed on Feb. 5, 2019, granted, now 10,867,512.
Claims priority of provisional application 62/627,005, filed on Feb. 6, 2018.
Prior Publication US 2021/0118294 A1, Apr. 22, 2021
Int. Cl. G08G 1/09 (2006.01); G08G 1/0967 (2006.01); B60W 30/165 (2020.01); G08G 1/16 (2006.01)
CPC G08G 1/096725 (2013.01) [B60W 30/165 (2013.01); G08G 1/096775 (2013.01); G08G 1/096783 (2013.01); G08G 1/164 (2013.01); G08G 1/166 (2013.01); G08G 1/167 (2013.01)] 24 Claims
OG exemplary drawing
 
1. An Intelligent Road Infrastructure System (IRIS) for providing vehicle operations and control to a connected automated vehicle highway (CAVH) system, said IRIS comprising:
a) an onboard unit (OBU) and vehicle interface installed in a vehicle;
and one or more of the following:
b) a roadside unit (RSU) network comprising RSUs;
c) a traffic control unit (TCU) and traffic control center (TCC);
d) a traffic operation center (TOC); and
e) a cloud-based platform providing information and computing services;
wherein the RSU network, TCU, TCC, TOC, or cloud-based platform provide vehicle control instructions for automated driving to said vehicle, wherein said vehicle control instructions comprise instructions for vehicle longitudinal position, vehicle lateral position, vehicle speed, vehicle steering, and vehicle control; and
wherein the RSU network, TCU, TCC, TOC or cloud-based platform is configured to provide behavior prediction for individual vehicles at a microscopic level.