Published November 2020
| public
Journal Article
Fuel Efficient Connected Cruise Control for Heavy-Duty Trucks in Real Traffic
- Creators
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He, Chaozhe R.
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Ge, Jin I.
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Orosz, Gábor
Abstract
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.
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.Additional details
- Eprint ID
- 97613
- DOI
- 10.1109/TCST.2019.2925583
- Resolver ID
- CaltechAUTHORS:20190801-155208431
- University of Michigan
- Created
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2019-08-02Created from EPrint's datestamp field
- Updated
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2021-11-16Created from EPrint's last_modified field