With the rapid global shift toward electric vehicles (EVs), one-pedal driving (OPD) has become a standard feature. In this mode, the accelerator pedal alone manages both acceleration and deceleration. While celebrated for improving energy efficiency by up to 22% in urban environments, its specific impact on traffic flow stability and car-following behavior remained largely unexplored until now.
To address this gap, a research team at the University of Georgia conducted field experiments using a fleet consisting of one lead internal combustion engine vehicle and three following EVs equipped with OPD and Adaptive Cruise Control (ACC).
The team published their study in Communications in Transportation Research (https://doi.org/10.26599/COMMTR.2026.9640030).
“Our findings highlight a fundamental difference in how regenerative braking interacts with the control source,” says Handong Yao, an Assistant Professor in the College of Engineering at the University of Georgia. “In manual driving, the high sensitivity of the system can lead to overcorrections by drivers. However, when managed by automated systems like ACC, that same sensitivity allows for incredibly precise and stable longitudinal control”.
Manual Control: The Learning Curve
Under manual control, the study found that OPD produces more pronounced speed oscillations and sharper decelerations compared to traditional two-pedal driving (TPD). This is particularly evident among drivers who are novices to the one-pedal paradigm.
ACC Integration: Unlocking Stability
The results took a dramatic turn when automation was introduced. When integrated with ACC, one-pedal driving yielded narrower distributions of speed, acceleration, and spacing than traditional two-pedal driving.
“The synergy between one-pedal driving and smart infrastructure or automated systems is where the real potential lies,” explains Tianle Zhu, a Ph.D. student and the study’s first author. “By aligning these natural regenerative curves with automated guidance, we can move toward a more stable, energy-efficient, and safer mobility ecosystem”.
DOI Link:
https://doi.org/10.26599/COMMTR.2026.9640030
About Communications in Transportation Research
Communications in Transportation Research was launched in 2021, with academic support provided by Tsinghua University and China Intelligent Transportation Systems Association. The Editors-in-Chief are Professor Xiaobo Qu, a member of the Academia Europaea from Tsinghua University, and Professor Xiaopeng (Shaw) Li from University of Wisconsin–Madison. The journal mainly publishes high-quality, original research and review articles that are of significant importance to emerging transportation systems, aiming to serve as an international platform for showcasing and exchanging innovative achievements in transportation and related fields, fostering academic exchange and development between China and the global community.
It has been indexed in SCIE, SSCI, Ei Compendex, Scopus, CSTPCD, CSCD, OAJ, DOAJ, TRID and other databases. It was selected as Q1 Top Journal in the Engineering and Technology category of the Chinese Academy of Sciences (CAS) Journal Ranking List. In 2022, it was selected as a High-Starting-Point new journal project of the “China Science and Technology Journal Excellence Action Plan”. In 2024, it was selected as the Support the Development Project of “High-Level International Scientific and Technological Journals”. The same year, it was also chosen as an English Journal Tier Project of the “China Science and Technology Journal Excellence Action Plan Phase Ⅱ”. In 2024, it received the first impact factor (2023 IF) of 12.5, ranking Top1 (1/58, Q1) among all journals in "TRANSPORTATION" category. In 2026, its 2025 IF was announced as 12.7, maintaining the Top1 position (1/66, Q1) in the same category.
From Volume 6 (2026), Communications in Transportation Research will be published by Tsinghua University Press on the SciOpen platform with the official journal website at https://www.sciopen.com/journal/2097-5023 . We kindly request that all new manuscript submissions be made through the journal’s submission system at https://mc03.manuscriptcentral.com/commtr . For any submission-related inquiries, please contact the Editorial Office at commtr_e@mail.tsinghua.edu.cn .
Communications in Transportation Research
Investigating the car-following behavior of electric vehicles with one-pedal driving
30-Jun-2026