Effect of adaptive cruise control on fuel consumption in real-world driving conditions

This paper presents a comprehensive analysis of the impact of adaptive cruise control on energy consumption in real-world driving conditions based on a natural experiment: a large-scale observational dataset of driving data from a diverse fleet of vehicles and drivers. The analysis is conducted at two different fidelity levels: (1) a macroscopic trip-level benefit estimate that compares trips with and without cruise control in a counterfactual way using statistical methods, and (2) a situation-based comparison achieved through the segmentation of trips into distinct driving situations such as acceleration, braking, cruising, and other maneuvers. The results of this research show that the effect of cruise control on energy consumption varies across different driving situations and levels of analysis. In a macroscopic trip-level analysis, cruise control engagement is associated with a slight increase in fuel consumption across the fleet. As revealed later by the situation-based analysis, this result can be attributed to the negative impact of cruise control on energy consumption in cruising mode, which is the most common driving situation. However, the situation-based comparison demonstrates that cruise control can provide fuel consumption benefits in situations involving acceleration and braking, particularly when a preceding vehicle is present. The study also emphasizes the importance of controlling for various factors that can influence both fuel consumption and the likelihood of cruise control engagement to properly evaluate its effects.

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Publication Details

Journal
Nature Communications
Published
2024-11-19
DOI
https://doi.org/10.1038/s41467-024-54066-8
Citations
9
Primary Topic
Vehicle emissions and performance
Type
article
Field-Weighted Citation Impact
1.83

Funders

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article

Effect of adaptive cruise control on fuel consumption in real-world driving conditions

Ayman Moawad, Dominik Karbowski, Aymeric Rousseau, Jihun Han et al.
9 citations
Nature Communications
Vehicle emissions and performance
1.83
article

Effect of adaptive cruise control on fuel consumption in real-world driving conditions

Ayman Moawad, Dominik Karbowski, Aymeric Rousseau, Jihun Han, Matthew Zebiak, Yaozhong Zhang
article en
9 citations

Abstract

This paper presents a comprehensive analysis of the impact of adaptive cruise control on energy consumption in real-world driving conditions based on a natural experiment: a large-scale observational dataset of driving data from a diverse fleet of vehicles and drivers. The analysis is conducted at two different fidelity levels: (1) a macroscopic trip-level benefit estimate that compares trips with and without cruise control in a counterfactual way using statistical methods, and (2) a situation-based comparison achieved through the segmentation of trips into distinct driving situations such as acceleration, braking, cruising, and other maneuvers. The results of this research show that the effect of cruise control on energy consumption varies across different driving situations and levels of analysis. In a macroscopic trip-level analysis, cruise control engagement is associated with a slight increase in fuel consumption across the fleet. As revealed later by the situation-based analysis, this result can be attributed to the negative impact of cruise control on energy consumption in cruising mode, which is the most common driving situation. However, the situation-based comparison demonstrates that cruise control can provide fuel consumption benefits in situations involving acceleration and braking, particularly when a preceding vehicle is present. The study also emphasizes the importance of controlling for various factors that can influence both fuel consumption and the likelihood of cruise control engagement to properly evaluate its effects.

Nature CommunicationsVol. 15(1)
Argonne National Laboratory (US), Partners In Care (US)
U.S. Department of Energy, University of Chicago, Office of Science, Office of Energy Efficiency and Renewable Energy, Vehicle Technologies Office, Office of Energy Efficiency, Argonne National Laboratory
Affordable and clean energy
Openalex Percentile: Top 15%
Vehicle emissions and performance
1.83
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