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Signalized intersections can increase the vehicle stops and consequently increase the
energy consumption by forcing stop-and-go dynamics on vehicles. Eco-driving with the help of
connectivity is a solution that could avoid multiple stops and improve energy efficiency. In this paper,
an eco-driving framework is developed, which finds the energy-efficient speed profile both up- and
downstream of a signalized intersection in free-flow situations (eco-FF). The proposed framework
utilizes the signal phasing and timing (SPaT) data that are communicated to the vehicle. The energy
consumption model used in this framework is a combination of vehicle dynamics and time-dependent
auxiliary consumption, which implicitly incorporates the travel time into the function and is validated
with real-world test data. It is shown that, by using the proposed eco-FF framework, the vehicle’s
energy consumption is notably reduced.
energy consumption by forcing stop-and-go dynamics on vehicles. Eco-driving with the help of
connectivity is a solution that could avoid multiple stops and improve energy efficiency. In this paper,
an eco-driving framework is developed, which finds the energy-efficient speed profile both up- and
downstream of a signalized intersection in free-flow situations (eco-FF). The proposed framework
utilizes the signal phasing and timing (SPaT) data that are communicated to the vehicle. The energy
consumption model used in this framework is a combination of vehicle dynamics and time-dependent
auxiliary consumption, which implicitly incorporates the travel time into the function and is validated
with real-world test data. It is shown that, by using the proposed eco-FF framework, the vehicle’s
energy consumption is notably reduced.
| Originele taal-2 | English |
|---|---|
| Artikelnummer | 55 |
| Pagina's (van-tot) | 1-13 |
| Aantal pagina's | 13 |
| Tijdschrift | World Electric Vehicle Journal |
| Volume | 14 |
| Nummer van het tijdschrift | 2 |
| DOI's | |
| Status | Published - feb 2023 |
Bibliografische nota
Funding Information:This research was funded by SRP56: SRP-Onderzoekszwaartepunt: Autonomous Mobility & Logistics.
Publisher Copyright:
© 2023 by the authors.
Copyright:
Copyright 2023 Elsevier B.V., All rights reserved.
Projecten
- 1 Actief
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SRP56: SRP-Onderzoekszwaartepunt: Autonomous Mobility & Logistics
Van Mierlo, J., Macharis, C., Coosemans, T., Hegazy, O., Van Lier, T., Crispeels, T., Guns, T., Vanhaverbeke, L., Rombaut, E., Berecibar, M., Hesami, S., Arapoglou, S., Li, J. & De Cauwer, C.
1/03/19 → 29/02/24
Project: Fundamenteel