Influencing alertness through remote coaching for professional drivers

This paper presents a focused look at findings related to driver fatigue from Use Case A (UCA) of EU project PANACEA (grant agreement number 953426). UCA considers safety drivers of autonomous shuttles. For safety and regulation reasons all shuttles have a driver present ready to intervene if needed. In practice, this means that the safety driver is responsible for ensuring the safety of both passengers and surrounding road users. 8 shuttle safety drivers (100% of those available) participated. Subjective driver sleepiness was reported daily at the start and end of each shift using the Karolinska Sleepiness Scale. Potential risk for driver sleepiness was calculated using the Bordeaux Sleepiness Scale (BOSS). Overall, sleepiness was a rare experience (mean KSS start shift = 3, mean KSS end shift = 3.1). However, those identified as potentially at-risk using BOSS had some experiences of sleepiness (KSS=7) on some shifts. The PANACEA system uses input from sensors in the vehicle, workplace depot and on the driver, creating a holistic monitoring and assessment system. This detects professional drivers who are not fit to drive and supports them and their employers to manage the situation and adopt preventive measures.</p

Influencing alertness through remote coaching for professional drivers

This paper presents a focused look at findings related to driver fatigue from Use Case A (UCA) of EU project PANACEA (grant agreement number 953426). UCA considers safety drivers of autonomous shuttles. For safety and regulation reasons all shuttles have a driver present ready to intervene if needed. In practice, this means that the safety driver is responsible for ensuring the safety of both passengers and surrounding road users. 8 shuttle safety drivers (100% of those available) participated. Subjective driver sleepiness was reported daily at the start and end of each shift using the Karolinska Sleepiness Scale. Potential risk for driver sleepiness was calculated using the Bordeaux Sleepiness Scale (BOSS). Overall, sleepiness was a rare experience (mean KSS start shift = 3, mean KSS end shift = 3.1). However, those identified as potentially at-risk using BOSS had some experiences of sleepiness (KSS=7) on some shifts. The PANACEA system uses input from sensors in the vehicle, workplace depot and on the driver, creating a holistic monitoring and assessment system. This detects professional drivers who are not fit to drive and supports them and their employers to manage the situation and adopt preventive measures.</p

Developing countermeasures to improve fitness to drive in professional drivers [Abstract]

Professional drivers are at risk to be involved in a crash associated with an impairment (Talbot et al., 2016; Hanowski, et al., 2007). Working conditions, for example shift work, can lead to increased fatigue or stress (e.g. Åkerstedt et al., 2001) and alcohol, drugs (illegal/medicinal) increases crash risk (Romano et al., 2014). The PANACEA project (2021-2024), aims to design and pilot a professional driver fitness to drive platform that combines technology measuring alcohol, drugs, fatigue and stress prior to a shift and fatigue during a shift and delivers post-trip countermeasures. This abstract will provide an overview of how the countermeasures addressing fatigue, stress, alcohol use and drugs were developed. The countermeasures will be listed, but results about their effectiveness and user acceptance are not yet available as trials are ongoing.</p

PANACEA Deliverable 1.1. Use Cases

The current Deliverable (D1.1) has been prepared in the context of WP1: “Use Cases” of PANACEA project. WP1 aims to set the theoretical basis for all the specifications and implementation work of the project that will follow. In specific, WP1 aims: • To perform desktop-based research to explore studies and projects focusing on the five impairment states that PANACEA is addressing (alcohol and (il)licit drugs use, fatigue, stress and cognitive (under/ over) load (A1.1). • To explore alternative technologies in the pan-European context and identify key success and failure factors to be considered within PANACEA (A1.2). • To identify the gaps in research and guidelines that we need to close and those that we can close within PANACEA (A1.3). • To investigate the needs, wants, opinions through triangulated data collection with focus groups/ questionnaires, and interviews with drivers/ riders and stakeholders (A1.4). • To distill the results of the previous Activities in WP1, map and categorise the PANACEA technologies and come up with a set of implementation/ demonstration Use Case scenarios (A1.5). [...]</p