Driving Performance and Safety in EV Car-Following: A Simulator Comparison of One-Pedal and Two-Pedal Modes

With the increasing adoption of regenerative braking technology in electric vehicles (EVs), one-pedal driving (OPD) mode has become a prevalent feature. While OPD offers technical advantages in energy efficiency, its implications for driver behavior and traffic safety remain unclear. To address the lack of human factors research in this domain, this study utilized a driving simulator to systematically compare driving performance between OPD and two-pedal driving (TPD) modes. Twenty-six participants engaged in car-following tasks under varying traffic densities (uncongested vs. congested) and cognitive load levels (normal vs. 1-back). Driving performance and safety were quantified using the absolute speed difference, distance headway, braking frequency, and Time-to-Collision at brake onset (TTCbrake). The results revealed a significant trade-off: while OPD simplified operation, it led to compromised driving performance compared to TPD in specific contexts. Specifically, OPD resulted in larger speed variations and reduced safety margins during the approach stage. Conversely, under high cognitive load, OPD demonstrated a protective effect by mitigating performance degradation. These findings suggest that while OPD can benefit drivers under mental pressure, its deployment requires adaptive safety strategies, such as the integration of Headway Monitoring Warning (HMW) and Forward Collision Warning (FCW), to compensate for performance deficits in complex traffic environments.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2026-02-21
DOI
https://doi.org/10.3390/wevj17020104
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

Driving Performance and Safety in EV Car-Following: A Simulator Comparison of One-Pedal and Two-Pedal Modes

Yue Fei, Jiateng Li, Zaiyan Gong, Sibo Wang et al.
World Electric Vehicle Journal
Human-Automation Interaction and Safety
article

Driving Performance and Safety in EV Car-Following: A Simulator Comparison of One-Pedal and Two-Pedal Modes

Yue Fei, Jiateng Li, Zaiyan Gong, Sibo Wang, Wenxia Xu, Jun Ma
article en

Abstract

With the increasing adoption of regenerative braking technology in electric vehicles (EVs), one-pedal driving (OPD) mode has become a prevalent feature. While OPD offers technical advantages in energy efficiency, its implications for driver behavior and traffic safety remain unclear. To address the lack of human factors research in this domain, this study utilized a driving simulator to systematically compare driving performance between OPD and two-pedal driving (TPD) modes. Twenty-six participants engaged in car-following tasks under varying traffic densities (uncongested vs. congested) and cognitive load levels (normal vs. 1-back). Driving performance and safety were quantified using the absolute speed difference, distance headway, braking frequency, and Time-to-Collision at brake onset (TTCbrake). The results revealed a significant trade-off: while OPD simplified operation, it led to compromised driving performance compared to TPD in specific contexts. Specifically, OPD resulted in larger speed variations and reduced safety margins during the approach stage. Conversely, under high cognitive load, OPD demonstrated a protective effect by mitigating performance degradation. These findings suggest that while OPD can benefit drivers under mental pressure, its deployment requires adaptive safety strategies, such as the integration of Headway Monitoring Warning (HMW) and Forward Collision Warning (FCW), to compensate for performance deficits in complex traffic environments.

World Electric Vehicle JournalVol. 17(2)
Tongji University (CN)
Tongji University
Affordable and clean energy
Openalex Percentile: Top 54%
Human-Automation Interaction and Safety
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Driving Performance and Safety in EV Car-Following: A Simulator Comparison of One-Pedal and Two-Pedal Modes — Yue Fei, Jiateng Li, et al. · World Electric Vehicle Journal (2026) | TGRS Research Map | TGRS