Protocol for a pseudo-randomized controlled trial to assess the impact of eco-driving assistance systems on bus drivers' stress responses.
- Author:
Maryline KRUMMENACHER
1
;
Manosij GHOSH
2
;
Michelle C TURNER
3
;
Irina GUSEVA CANU
1
Author Information
- Publication Type:Clinical Trial Protocol
- Keywords: Biological monitoring; Eco-driving assistance technology; Green transition; Heart rate variability (HRV); Occupational stress; Public transport; Self-assessment
- MeSH: Humans; Automobile Driving/psychology*; Stress, Psychological; Motor Vehicles; Adult; Male; Randomized Controlled Trials as Topic; Female
- From:Environmental Health and Preventive Medicine 2025;30():90-90
- CountryJapan
- Language:English
-
Abstract:
BACKGROUND:Technological innovations in the public transport sector are increasingly leveraged to support the goals of environmental sustainability and public health. Eco-driving assistance (EDA) systems represent one such intervention, aimed at reducing fuel consumption, emissions, and operating costs while improving passenger comfort. However, the potential unintended impacts of EDA technologies on driver health and well-being remain understudied. The EDA Trial, part of the EU-funded INTERCAMBIO project, seeks to evaluate whether the use of EDA systems may introduce new psychosocial stressors for professional drivers, with implications for occupational and public health.
METHODS:The EDA tested in this trial is called "NAVIG". Buses will be assigned randomly. Operating EDA-equipped vehicle will be considered as intervention condition, operating vehicle without EDA as control. Each participant will be monitored for 10 working days maximum to accumulate at least 5 intervention shifts during the trial. Heart rate variability (HRV) will be continuously recorded during working hours to assess autonomous stress responses. The root mean square of successive differences (RMSSD) will be averaged over intervention and control shifts to enable within-subject comparisons between intervention and control conditions. Subjective stress levels will be evaluated using the self-report instruments: Cohen's perceived stress scale at baseline and visual analogous scale at baseline and daily. Moreover, neuroendocrine stress biomarkers (salivary cortisol and cortisone) will be collected repeatedly across shifts, as additional outcomes. Mixed-effects models with participant's ID as a random effect variable will be used to compare stress outcomes between EDA and non-EDA driving conditions. Models will be adjusted for potential confounders.
RESULTS:A sample size of 26-40 participants was estimated to provide 80% power (α = 0.05) to detect differences of 12-15% between conditions. Ethical approval was obtained from the Swissethics (CER-VD 2024-01573), and participant recruitment is ongoing, with 27 drivers enrolled as of June 2025.
CONCLUSIONS:This study will provide empirical evidence on the potential health trade-offs associated with implementing eco-driving technologies in real-world settings. By assessing physiological and psychological stress responses to EDA, the trial supports a more integrated approach to environmental technology evaluation-one that considers not only energy efficiency but also the health and sustainability of the workforce.
TRIAL REGISTRATION:The trial was registered in the ClinicalTrials.gov database (NCT06688721).
