Effect of Split Condition and Driving Duration on Fatigue Based on Changes in Brain Wave Signals when Driving a Train Simulator

Open Access

Issue		SHS Web Conf. Volume 189, 2024 The 2^nd International Conference on Ergonomics Safety, and Health (ICESH) and the 7^th Ergo-Camp (ICESH & Ergo-Camp 2023)


Article Number		01045
Number of page(s)		12
DOI		https://doi.org/10.1051/shsconf/202418901045
Published online		09 April 2024

J. Fan and A. P. Smith, ‘The Impact of Workload and Fatigue on Performance’, in Human Mental Workload: Models and Applications, 726, 90–105 (2017). https://doi:10.1007/978-3-319-61061-0_6. [CrossRef] [Google Scholar]
D. Dawson, A. K. Searle, and J. L. Paterson, ‘Look before you (s)leep: Evaluating the use of fatigue detection technologies within a fatigue risk management system for the road transport industry’, Sleep Medicine Reviews, 18 (2), 141–152 (2014). https://doi:10.1016/j.smrv.2013.03.003 [CrossRef] [Google Scholar]
J. F. May and C. L. Baldwin, ‘Driver fatigue: The importance of identifying causal factors of fatigue when considering detection and countermeasure technologies’, Transportation Research Part F: Traffic Psychology and Behaviour, 12 (3), 218–224 (2009). https://doi:10.1016/j.trf.2008.11.005. [CrossRef] [Google Scholar]
Y. Kwon, J. Byun, and S. Park, ‘Exploring the determinants of bus drivers job satisfaction: Evidence from South Korea’, Research in Transportation Business & Management, 33, 100436 (2019), https://doi:10.1016/j.rtbm.2020.100436. [CrossRef] [Google Scholar]
H. Iridiastadi, ‘Fatigue in the Indonesian rail industry: A study examining passenger train drivers’, Applied Ergonomics, 92, 103332 (2021). https://doi:10.1016/j.apergo.2020.103332. [CrossRef] [Google Scholar]
G. Belenky, A. Lamp, A. Hemp, and J. L. Zaslona, ‘Fatigue in the Workplace’, in Sleep Deprivation and Disease, 243–268 (2014). https://doi:10.1007/978-1-4614-9087-6_18. [CrossRef] [Google Scholar]
M. L. Jackson, S. Banks, and G. Belenky, ‘Investigation of the effectiveness of a split sleep schedule in sustaining sleep and maintaining performance’, Chronobiology International, 31 (10), 1218–1230 (2014). https://doi:10.3109/07420528.2014.957305. [CrossRef] [Google Scholar]
S. M. Riedy, G. D. Roach, and D. Dawson, ‘Sleep–wake behaviors exhibited by shift workers in normal operations and predicted by a biomathematical model of fatigue’, Sleep, 43 (9), (2020). https://doi:10.1093/sleep/zsaa049. [Google Scholar]
W. C. W. Giang, I. Shanti, H.-Y. W. Chen, A. Zhou, and B. Donmez, ‘Smartwatches vs. smartphones: a preliminary report of driver behavior and perceived risk while responding to notifications’, in Proceedings of the 7th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Nottingham United Kingdom: ACM, 154–161, (2015). https://doi:10.1145/2799250.2799282. [Google Scholar]
B. T. Jap, S. Lal, and P. Fischer, ‘Comparing combinations of EEG activity in train drivers during monotonous driving’, Expert Systems with Applications, 38 (1), 996–1003 (2011). https://doi:10.1016/j.eswa.2010.07.109. [CrossRef] [Google Scholar]
T. Lees et al., ‘Electroencephalography as a predictor of self-report fatigue/sleepiness during monotonous driving in train drivers’, Physiol. Meas., 39 (10), 105012 (2018). https://doi:10.1088/1361-6579/aae42e. [CrossRef] [Google Scholar]
E. Ahsberg, F. Gamberale, and K. Gustafsson, ‘Perceived fatigue after mental work: an experimental evaluation of a fatigue inventory’, Ergonomics, 43, 252–268 (2000). https://doi:10.1080/001401300184594. [CrossRef] [Google Scholar]
A. Williamson, D. A. Lombardi, S. Folkard, J. Stutts, T. K. Courtney, and J. L. Connor, ‘The link between fatigue and safety’, Accident Analysis & Prevention, 43 (2), 498–515 (2011). https://doi:10.1016/j.aap.2009.11.011. [CrossRef] [Google Scholar]
P. Gander et al., ‘Fatigue risk management: Organizational factors at the regulatory and industry/company level’, Accident Analysis & Prevention, 43 (2), 573–590 (2011). https://doi:10.1016/j.aap.2009.11.007. [CrossRef] [Google Scholar]
G. Zhang, K. K. W. Yau, and X. Gong, ‘Traffic violations in Guangdong Province of China: Speeding and drunk driving’, Accident Analysis & Prevention, 64, 30–40 (2014). https://doi:10.1016/j.aap.2013.11.002. [CrossRef] [Google Scholar]
J. Dorrian, J. Chapman, L. Bowditch, N. Balfe, and A. Naweed, ‘A survey of train driver schedules, sleep, wellbeing, and driving performance in Australia and New Zealand’, Sci Rep, 12 (1), 3956 (2022). https://doi:10.1038/s41598-022-07627-0. [CrossRef] [Google Scholar]
R. O. Phillips, ‘A review of definitions of fatigue – And a step towards a whole definition’, Transportation Research Part F: Traffic Psychology and Behaviour, 29, 48–56 (2015). https://doi:10.1016/j.trf.2015.01.003. [CrossRef] [Google Scholar]
S. Kar, M. Bhagat, and A. Routray, ‘EEG signal analysis for the assessment and quantification of driver’s fatigue’, Transportation Research Part F: Traffic Psychology and Behaviour, 13 (5), 297–306 (2010). https://doi:10.1016/j.trf.2010.06.006. [CrossRef] [Google Scholar]
H. J. Eoh, M. K. Chung, and S.-H. Kim, ‘Electroencephalographic study of drowsiness in simulated driving with sleep deprivation’, International Journal of Industrial Ergonomics, 35 (4), 307–320 (2005). https://doi:10.1016/j.ergon.2004.09.006. [CrossRef] [Google Scholar]
N. Dunn and A. Williamson, ‘Driving monotonous routes in a train simulator: the effect of task demand on driving performance and subjective experience’, Ergonomics, 55 (9), 997–1008 (2012) https://doi:10.1080/00140139.2012.691994. [CrossRef] [Google Scholar]
S. K. L. Lal and A. Craig, ‘A critical review of the psychophysiology of driver fatigue’, Biological Psychology, 55 (3), 173–194 (2001). https://doi:10.1016/S0301-0511(00)00085-5. [CrossRef] [PubMed] [Google Scholar]
J. Ma, J. Gu, H. Jia, Z. Yao, and R. Chang, ‘The Relationship Between Drivers’ Cognitive Fatigue and Speed Variability During Monotonous Daytime Driving’, Front. Psychol., 9, 459, (2018). https://doi:10.3389/fpsyg.2018.00459. [CrossRef] [Google Scholar]
Kementerian Perhubungan Direktorat Jenderal Perkeretaapian. (2022). Perkeretaapian dalam Angka 2022. [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.