@inproceedings{4e05033fb8a44d7ba885c9451f3425ff,
title = "Data-based fuel-economy optimization of connected automated trucks in traffic",
abstract = "In this paper we perform fuel-economy optimization for a connected automated truck that utilizes motion information from multiple vehicles ahead via vehicle-to-vehicle (V2V) communication. Position and velocity data collected from a chain of human-driven vehicles is utilized to design a connected cruise controller that can respond to traffic perturbations while maximizing energy efficiency. The results are compared to those obtained using a high-fidelity truck model and the robustness of the design is validated on multiple data sets. It is shown that optimally utilizing V2V connectivity may lead to 4\%-13\% fuel economy improvements compared to the best non-connected design.",
author = "He, \{Chaozhe R.\} and Ge, \{Jin I.\} and G{\'a}bor Orosz",
note = "Publisher Copyright: {\textcopyright} 2018 AACC.; 2018 Annual American Control Conference, ACC 2018 ; Conference date: 27-06-2018 Through 29-06-2018",
year = "2018",
month = aug,
day = "9",
doi = "10.23919/ACC.2018.8431512",
language = "English",
isbn = "9781538654286",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5576--5581",
booktitle = "2018 Annual American Control Conference, ACC 2018",
address = "United States",
}