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Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic

He, Chaozhe R. and Ge, Jin I. and Orosz, Gábor (2020) Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic. IEEE Transactions on Control Systems Technology, 28 (6). pp. 2474-2481. ISSN 1063-6536. doi:10.1109/TCST.2019.2925583.

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In this paper, we present a systematic approach for fuel-economy optimization of 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 are utilized to design a connected cruise controller that smoothly responds to traffic perturbations while maximizing energy efficiency. The proposed design is evaluated using a high-fidelity truck model and the robustness of the design is validated on real traffic data sets. It is shown that optimally utilizing V2V connectivity leads to around 10% fuel economy improvements compared to the best nonconnected design.

Item Type:Article
Related URLs:
URLURL TypeDescription
He, Chaozhe R.0000-0002-0299-8412
Ge, Jin I.0000-0001-6429-9337
Orosz, Gábor0000-0002-9000-3736
Additional Information:© 2019 IEEE. Manuscript received February 1, 2019; revised June 8, 2019; accepted June 24, 2019. Date of publication July 26, 2019; date of current version October 9, 2020. Manuscript received in final form June 25, 2019. This work was supported by the University of Michigan Mobility Transformation Center. Recommended by Associate Editor N. Quijano.
Funding AgencyGrant Number
University of MichiganUNSPECIFIED
Subject Keywords:Connected automated vehicle (CAV), data-based apporach, fuel economy
Issue or Number:6
Record Number:CaltechAUTHORS:20190801-155208431
Persistent URL:
Official Citation:C. R. He, J. I. Ge and G. Orosz, "Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic," in IEEE Transactions on Control Systems Technology, vol. 28, no. 6, pp. 2474-2481, Nov. 2020, doi: 10.1109/TCST.2019.2925583.
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:97613
Deposited By: Tony Diaz
Deposited On:02 Aug 2019 14:44
Last Modified:16 Nov 2021 17:33

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