Literature DB >> 17309757

Train driving efficiency and safety: examining the cost of fatigue.

Jillian Dorrian1, Frank Hussey, Drew Dawson.   

Abstract

This study investigated the effects of fatigue on train driving using data loggers on 50 locomotives operated by pairs of male train drivers (24-56 years) on an Adelaide-Melbourne corridor. Drivers' work history was used to calculate a fatigue score using Fatigue Audit Interdyne Software. Trains were assigned to one of three groups, based on drivers' maximum fatigue score: low (n = 15), moderate (n = 22) or high (n = 13) fatigue. Changes in driving parameters at different fatigue levels were investigated. A significant (P < 0.05) increase in fuel use was observed. Drivers in the moderate fatigue group used 4% more, and drivers in the high group used 9% more fuel than drivers in the low group. As these trains run daily, taking horsepower into account, this represents an approximate extra weekly cost of AUD$3512 using high compared with low fatigue drivers. High fatigue-group drivers used less throttle and dynamic brake and engaged in more heavy brake and maximum speed violations. Comparison of three, 100 km track sub-sections with undulating, flat, and hilly grade indicated that fuel use increases occurred primarily during the undulating sub-section, and heavy brake and maximum speed violations occurred primarily in the flat sub-section. Fatigued driving becomes less well-planned, resulting in reduced efficiency (e.g. increased fuel consumption) and safety (e.g. braking and speeding violations). Fatigue may manifest differentially depending on track grade. In certain areas, fatigue will cause increased fuel use and economic cost, and in others, reduced safety through driving violations. These factors should be carefully examined in future railway operator research.

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Year:  2007        PMID: 17309757     DOI: 10.1111/j.1365-2869.2007.00563.x

Source DB:  PubMed          Journal:  J Sleep Res        ISSN: 0962-1105            Impact factor:   3.981


  7 in total

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Authors:  Solveig Boeggild Dohrmann; Anja Leppin
Journal:  Int Arch Occup Environ Health       Date:  2016-11-01       Impact factor: 3.015

Review 2.  Economic implications of sleep disorders.

Authors:  Tracy L Skaer; David A Sclar
Journal:  Pharmacoeconomics       Date:  2010       Impact factor: 4.981

3.  Effects of Occupational Fatigue on Cognitive Performance of Staff From a Train Operating Company: A Field Study.

Authors:  Jialin Fan; Andrew P Smith
Journal:  Front Psychol       Date:  2020-09-11

Review 4.  Types, Risk Factors, Consequences, and Detection Methods of Train Driver Fatigue and Distraction.

Authors:  Chaojie Fan; Shufang Huang; Shuxiang Lin; Diya Xu; Yong Peng; Shengen Yi
Journal:  Comput Intell Neurosci       Date:  2022-03-24

Review 5.  Alerting effects of light in healthy individuals: a systematic review and meta-analysis.

Authors:  Yi-Man Mu; Xiao-Dan Huang; Sui Zhu; Zheng-Fang Hu; Kwok-Fai So; Chao-Ran Ren; Qian Tao
Journal:  Neural Regen Res       Date:  2022-09       Impact factor: 5.135

6.  A Preliminary Review of Fatigue Among Rail Staff.

Authors:  Jialin Fan; Andrew P Smith
Journal:  Front Psychol       Date:  2018-05-07

7.  A survey of train driver schedules, sleep, wellbeing, and driving performance in Australia and New Zealand.

Authors:  Jillian Dorrian; Janine Chapman; Lorelle Bowditch; Nora Balfe; Anjum Naweed
Journal:  Sci Rep       Date:  2022-03-10       Impact factor: 4.379

  7 in total

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