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Risk factors, monitoring techniques, and intervention strategies: experiences and lessons from different transport sectors

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conference contribution
posted on 2022-07-05, 08:20 authored by Amir Pooyan Afghari, Eleonora Papadimitriou, Sally MaynardSally Maynard, Rachel TalbotRachel Talbot, Ashleigh FiltnessAshleigh Filtness, Geert Wets

Operator’s behaviour accounts for the majority of accidents in various transport sectors (road, rail, aviation and maritime) and thus identifying human factors associated with increased risk, monitoring operators, and applying remedial interventions, are paramount in reducing risk across transport entities. Operator’s mental state (fatigue, sleepiness, stress, emotions, illness, distraction), speeding, tailgating and illegal maneuvering are among human factors associated with increased risk. Although similar risk factors exist in all transport sectors, monitoring operators and applying interventions is more widespread in the road sector and there is a lack of knowledge sharing that could potentially provide insight for reducing human factors among all transport sectors. As the first step in establishing such a guideline, this paper aims to investigate the possibility of transferring knowledge about operator monitoring and intervention strategies between different transport sectors, i.e. road, rail, aviation and maritime. This transfer of knowledge is investigated from three perspectives: (i) most important risk factors that are common among sectors, (ii) monitoring technologies that are used in each sector, and (iii) intervention strategies that could be implemented in reducing risk in each sector. To achieve this objective, the most important risk factors in rail, aviation, and maritime sectors are first reviewed from the literature. The iDREAMS naturalistic driving study is then selected as a case study from the road sector and the risk factors, monitoring technologies and intervention strategies are reviewed and compared with the ones identified in the other sectors from the literature review. Results indicate that heart-rate measurements, eye tracking techniques, and speech recognition are used for monitoring workload, drowsiness/fatigue, stress, and situational awareness in the aviation sector. However, a complementary use of unobtrusive sensors seems necessary to enhance the reliability of monitoring. Proactive treatments such as taking a nap, caffeine intake, proper sleep environment, sufficient hours of uninterrupted sleep per night, consecutive nights recovery sleep are used for monitoring the operator’s fatigue, sleepiness, and situational awareness in the maritime sector. Furthermore, in-cabin collision alert systems and blue light exposure are used as real-time interventions in this sector. None of the rail, aviation, or maritime sectors make use of systematic post-trip interventions to achieve a sustainable behavioural change over time.

Funding

EU H2020 i-DREAMS project (Project Number: 814761) funded by European Commission under the MG-2-1-2018 Research and Innovation Action (RIA)

History

School

  • Design and Creative Arts

Department

  • Design

Published in

Proceedings from the RSS 2022 - 8th Road Safety & Simulation International Conference: Road Safety and Digitalization

Source

8th Road Safety and Simulation International Conference (RSS 2022)

Publisher

Road Safety and Simulation Conference

Version

  • VoR (Version of Record)

Rights holder

© Road Safety and Simulation Conference (RSS)

Publisher statement

This paper was presented at the 8th Road Safety and Simulation International Conference (RSS 2022) and is available at https://www.nrso.ntua.gr/rss2022/proceedings/

Acceptance date

2022-02-16

Copyright date

2022

Language

  • en

Location

Athens, Greece

Event dates

8th June 2022 - 10th June 2022

Depositor

Rachel Talbot. Deposit date: 1 July 2022

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