Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles

Simin Hesami; Majid Vafaeipour; Cedric De Cauwer; Evy Rombaut; Lieselot Vanhaverbeke; Thierry Coosemans

doi:10.1109/VPPC60535.2023.10403167

Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles

Simin Hesami, Majid Vafaeipour, Cedric De Cauwer, Evy Rombaut, Lieselot Vanhaverbeke, Thierry Coosemans

Onderzoeksoutput: Conference paper

4 Citaten (Scopus)

Samenvatting

The study proposes a dynamic proactive predictive cruise control eco-driving (eco-PPCC) framework for controlling the speed of an Autonomous Electric Vehicle (AEV) approaching a signalized intersection in the presence of a preceding vehicle. By utilizing the preceding vehicle's data, the framework optimizes the AEV's speed profile, achieving significant reductions in energy consumption. The study compares the proposed eco-PPCC algorithm to the conventional Gipps and eco-PCC models, and real-world measurements are taken to study practical scenarios. The results show that the proposed framework outperforms conventional methods by significantly reducing unnecessary stops at intersections, speed fluctuations, and energy consumption.

Originele taal-2	English
Titel	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
Uitgeverij	Institute of Electrical and Electronics Engineers Inc.
Pagina's	1-6
Aantal pagina's	6
ISBN van elektronische versie	9798350344455
DOI's	https://doi.org/10.1109/VPPC60535.2023.10403167
Status	Published - 2023
Evenement	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy Duur: 24 okt. 2023 → 27 okt. 2023

Publicatie series

Naam	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings

Conference

Conference	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Land/Regio	Italy
Stad	Milan
Periode	24/10/23 → 27/10/23

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Publisher Copyright:
© 2023 IEEE.

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10.1109/VPPC60535.2023.10403167

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Hesami, S., Vafaeipour, M., De Cauwer, C., Rombaut, E., Vanhaverbeke, L., & Coosemans, T. (2023). Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles. In 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings (blz. 1-6). Artikel VPPC60535.2023.10403167 (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VPPC60535.2023.10403167

Hesami, Simin ; Vafaeipour, Majid ; De Cauwer, Cedric et al. / Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles. 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. blz. 1-6 (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings).

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abstract = "The study proposes a dynamic proactive predictive cruise control eco-driving (eco-PPCC) framework for controlling the speed of an Autonomous Electric Vehicle (AEV) approaching a signalized intersection in the presence of a preceding vehicle. By utilizing the preceding vehicle's data, the framework optimizes the AEV's speed profile, achieving significant reductions in energy consumption. The study compares the proposed eco-PPCC algorithm to the conventional Gipps and eco-PCC models, and real-world measurements are taken to study practical scenarios. The results show that the proposed framework outperforms conventional methods by significantly reducing unnecessary stops at intersections, speed fluctuations, and energy consumption.",

keywords = "autonomous electric vehicles, Eco-driving, energy management, proactive predictive cruise control",

author = "Simin Hesami and Majid Vafaeipour and {De Cauwer}, Cedric and Evy Rombaut and Lieselot Vanhaverbeke and Thierry Coosemans",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 ; Conference date: 24-10-2023 Through 27-10-2023",

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Hesami, S, Vafaeipour, M, De Cauwer, C , Rombaut, E , Vanhaverbeke, L & Coosemans, T 2023, Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles. in 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings., VPPC60535.2023.10403167, 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings, Institute of Electrical and Electronics Engineers Inc., blz. 1-6, 19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023, Milan, Italy, 24/10/23. https://doi.org/10.1109/VPPC60535.2023.10403167

Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles. / Hesami, Simin; Vafaeipour, Majid; De Cauwer, Cedric et al.
2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. blz. 1-6 VPPC60535.2023.10403167 (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings).

Onderzoeksoutput: Conference paper

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T1 - Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles

AU - Hesami, Simin

AU - Vafaeipour, Majid

AU - De Cauwer, Cedric

AU - Rombaut, Evy

AU - Vanhaverbeke, Lieselot

AU - Coosemans, Thierry

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N2 - The study proposes a dynamic proactive predictive cruise control eco-driving (eco-PPCC) framework for controlling the speed of an Autonomous Electric Vehicle (AEV) approaching a signalized intersection in the presence of a preceding vehicle. By utilizing the preceding vehicle's data, the framework optimizes the AEV's speed profile, achieving significant reductions in energy consumption. The study compares the proposed eco-PPCC algorithm to the conventional Gipps and eco-PCC models, and real-world measurements are taken to study practical scenarios. The results show that the proposed framework outperforms conventional methods by significantly reducing unnecessary stops at intersections, speed fluctuations, and energy consumption.

AB - The study proposes a dynamic proactive predictive cruise control eco-driving (eco-PPCC) framework for controlling the speed of an Autonomous Electric Vehicle (AEV) approaching a signalized intersection in the presence of a preceding vehicle. By utilizing the preceding vehicle's data, the framework optimizes the AEV's speed profile, achieving significant reductions in energy consumption. The study compares the proposed eco-PPCC algorithm to the conventional Gipps and eco-PCC models, and real-world measurements are taken to study practical scenarios. The results show that the proposed framework outperforms conventional methods by significantly reducing unnecessary stops at intersections, speed fluctuations, and energy consumption.

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Hesami S, Vafaeipour M, De Cauwer C , Rombaut E , Vanhaverbeke L , Coosemans T. Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles. In 2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2023. blz. 1-6. VPPC60535.2023.10403167. (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings). doi: 10.1109/VPPC60535.2023.10403167

Proactive Eco-Driving Control of an Autonomous Electric Vehicle in Presence of Signalized Intersections and Preceding Vehicles

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