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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.
Originele taal-2English
Pagina's (van-tot)1-13
Aantal pagina's13
TijdschriftWorld Electric Vehicle Journal
Nummer van het tijdschrift2
StatusPublished - feb 2023

Bibliografische nota

Funding Information:
This research was funded by SRP56: SRP-Onderzoekszwaartepunt: Autonomous Mobility & Logistics.

Publisher Copyright:
© 2023 by the authors.

Copyright 2023 Elsevier B.V., All rights reserved.

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