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

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

2 Citations (Scopus)

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.

Original language	English
Title of host publication	2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages <span style="color:red"p> <font size="1.5"> ✽ </span> </font>	6
ISBN (Electronic)	9798350344455
DOIs	https://doi.org/10.1109/VPPC60535.2023.10403167
Publication status	Published - 2023
Event	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Milan, Italy Duration: 24 Oct 2023 → 27 Oct 2023

Publication series

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

Conference

Conference	19th IEEE Vehicle Power and Propulsion Conference, VPPC 2023
Country/Territory	Italy
City	Milan
Period	24/10/23 → 27/10/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

autonomous electric vehicles
Eco-driving
energy management
proactive predictive cruise control

Access to Document

10.1109/VPPC60535.2023.10403167

Cite this

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 (pp. 1-6). [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 ; Rombaut, Evy ; Vanhaverbeke, Lieselot ; Coosemans, Thierry. / 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. pp. 1-6 (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings).

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

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.",

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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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doi = "10.1109/VPPC60535.2023.10403167",

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series = "2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings",

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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., pp. 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 ; Rombaut, Evy ; Vanhaverbeke, Lieselot ; Coosemans, Thierry.

2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1-6 VPPC60535.2023.10403167 (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › Research

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AU - Hesami, Simin

AU - Vafaeipour, Majid

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AU - Vanhaverbeke, Lieselot

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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. p. 1-6. VPPC60535.2023.10403167. (2023 IEEE Vehicle Power and Propulsion Conference, VPPC 2023 - Proceedings). 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

Abstract

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Bibliographical note

Keywords

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