Unveiling the energy implications of automated driving: Evidence from real-world data

Giovanni Albano; Konstantinos Mattas; Dimitrios Komnos; Alessandro Tansini; Sándor Vass; Riccardo Donà; Ada Garus; Georgios Fontaras; Bat-hen Nahmias-Biran; Biagio Ciuffo

doi:10.1016/j.jclepro.2026.148294

May 25, 2026Journal of Cleaner ProductionOpen Access

Unveiling the energy implications of automated driving: Evidence from real-world data

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Key Points

The central aim is to quantify the energy costs associated with automated driving.
Conducted real-world experiments using an SAE Level 3 automated vehicle.
Measured fuel consumption under various driving conditions.
Automated driving increases fuel consumption by approximately 10% under tested conditions.
Findings suggest that energy efficiency must be integrated into automation policies.

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Implication

Quantifies increased fuel consumption in automated vehicles, indicating the need for energy-efficient policies.

Abstract

• Quantification of the energy cost of automated driving. • Real-world experiments with an SAE Level 3 automated vehicle. • Automated driving increases fuel consumption by ∼10% under tested conditions. • Energy efficiency should be considered in automation policies.

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Albano et al. (2026) studied this question.

synapsesocial.com/papers/6a17daca3fad632b0f9d7a88 https://doi.org/10.1016/j.jclepro.2026.148294

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Unveiling the energy implications of automated driving: Evidence from real-world data

Key Points

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Implication

Abstract

Discussion

Cite This Study

Unveiling the energy implications of automated driving: Evidence from real-world data

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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