@inproceedings{99251babb8b54a5dac4ede0df0c3442a,
title = "Saving Energy with Delayed Information in Connected Vehicle Systems",
abstract = "In this paper, we design an energy-optimal longitudinal controller for connected automated trucks driving in mixed traffic with lean penetration of connected vehicles. The controller utilizes information received via vehicle-to-vehicle connectivity from vehicles traveling ahead of the truck, and additional delays are introduced into the control law to improve energy efficiency. We evaluate the robustness of the energy-optimal control parameters and calculate the amount of energy benefits. Simulation results show 18\% improvement of energy efficiency compared to a non-connected design, and 3\% improvement compared to the connected design without additional delay.",
author = "Minghao Shen and Molnar, \{Tamas G.\} and He, \{Chaozhe R.\} and Bell, \{A. Harvey\} and Matthew Hunkler and Dean Oppermann and Russell Zukouski and Jim Yan and Gabor Orosz",
note = "Publisher Copyright: {\textcopyright} 2021 American Automatic Control Council.; 2021 American Control Conference, ACC 2021 ; Conference date: 25-05-2021 Through 28-05-2021",
year = "2021",
month = may,
day = "25",
doi = "10.23919/ACC50511.2021.9482758",
language = "English",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1625--1630",
booktitle = "2021 American Control Conference, ACC 2021",
address = "United States",
}