Rail human factors: Past, present and future

Wilson, John R.; Norris, Beverley

doi:10.1016/j.apergo.2005.07.001

Cited by 78 publications

(30 citation statements)

References 48 publications

(46 reference statements)

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“…Dans notre travail nous utilisons cette théorie. (Wilson & Norris, 2005) présentent une discussion approfondie sur l'état des approches du facteur humain dans le domaine ferroviaire, ils identifient ses intérêts, ainsi que les besoins futurs de la recherche dans ce domaine. Dans (McLeod, Walker, & Mills, 2007), le risque d'interaction humaine avec les systèmes d'alerte automatiques (Automatic Warning System : AWS) a été évaluée.…”

Section: Analyse Quantitatives De La Fiabilité Humaine Et Du Facteur unclassified

Analyse de la fiabilité humaine : vers un cadre plus formel pour les applications ferroviaires

Rangra¹,

Sallak²,

Schön³

et al. 2016

Congrès Lambda Mu 20 De Maîtrise Des Risques Et De Sûreté De Fonctionnement

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RésuméDans ce papier, nous présentons un cadre formel d'analyse de la fiabilité humaine (HRA) afin de quantifier les erreurs humaines dans le domaine ferroviaire. Les fonctions critiques de sécurité et leurs facteurs contextuels sont identifiés à partir d'études de PSF (Performance Shaping Factors). Ainsi, nous utilisons la théorie des fonctions de croyance et les systèmes VBS (Valuation-based systems) pour construire un cadre probabiliste de quantification. La prise en compte et le traitement de tous les types d'incertitudes sont également représentés. Les relations formelles entre les PSF et les erreurs humaines sont modélisées à partir de données d'experts pour implémenter la partie quantitative du modèle. Elles sont basées sur la capitalisation de connaissances d'experts pour construire les éléments causals de modélisation de l'erreur humaine. AbstractWe present a formal framework of human reliability analysis (HRA) to quantify human errors for railway domain. The safety critical human functions and their contextual factors are identified from domain specific human factors studies and studies on safety critical PSFs. We use Belief functions theory and Valuation based systems for a probabilistic framework of quantification. A formal relation between those functions and the context are modeled using data from expert elicitation. The proposed approach uses expert elicited data to build the human error-causation elements. Appropriate representation and handling of all types of uncertainties is considered through the proposed quantification methodology.

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Section: Analyse Quantitatives De La Fiabilité Humaine Et Du Facteur unclassified

Analyse de la fiabilité humaine : vers un cadre plus formel pour les applications ferroviaires

Rangra¹,

Sallak²,

Schön³

et al. 2016

Congrès Lambda Mu 20 De Maîtrise Des Risques Et De Sûreté De Fonctionnement

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“…Research related to fatigue has examined the effects of work rosters (Howard and Tepas 2001) and used observation and self-report to study the effect of journey times greater than six hours (Gouin et al 2001). However the effects of fatigue and shift rosters on performance in rail is an area that has been identified as still needing research contribution (Wilson and Norris 2005).…”

Section: Introductionmentioning

confidence: 99%

Causes, consequences and countermeasures to driver fatigue in the rail industry: The train driver perspective

Filtness

Naweed

2017

Applied Ergonomics

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“…According to Wilson and Noriss from 2005 [12] and the guidelines of Rail Safety and Standards Board from Great Britain the actual priorities during scientific research that can be related to the safety and the group of factors "human factor" include, among others: evaluation of the mental load in engine drivers, and the design of the driver cab and the environment.…”

Section: Figurementioning

confidence: 99%

Anthropometric measures important for control panel design in locomotive or railcar

Sumpor

Taboršak²,

Jurum-Kipke

2015

Teh. vjesn.

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Original scientific paper Frequently used commands on the locomotive or railcar control panel need to be arranged mainly within the normal reach of the arm, using multi-purpose controllers for serving several important and frequently used functions by one hand, whenever possible. From the measured anthropometric measures in the central 90 % from the sufficient and random sample of 50 engine drivers the range of normal and maximal reach of arm has been defined using statistical methods for the entire population in Croatia. The ranges of statistical anthrompometric measures of the engine drivers are the constitutional factors from the group "human factor", and according to Fuller TCI model "task requirement -driver's capability" affect the difficulty of the task during driving. The correlation dependence of lumbar moment Ml on the index of mass BMI has been proven in the hypothetically most unfavourable statistical seating working position, and based on the really measured statistical anthropometric measures. Keywords: anthropometric measures; central 90 %; engine drivers; human factor; normal and maximal reach of arm; task difficultyAntropomjere bitne za dizajn upravljačke ploče u lokomotivi ili motornoj garnituri Izvorni znanstveni članak Često korištene komande na upravljačkoj ploči lokomotive ili motorne garniture potrebno je rasporediti pretežito unutar normalnog dosega ruku, uz korištenje višenamjenskih kontrolera za posluživanje više bitnih i često korištenih funkcija jednom rukom, kada god je to moguće. Iz izmjerenih antropomjera u središnjih 90 % od dovoljnog i slučajnog uzorka od 50 strojovođa statističkim metodama definiran je raspon normalnog i maksimalnog dosega ruku za cijelu populaciju u RH. Rasponi statičkih antropomjera strojovođa su konstitucijski čimbenici iz grupe "ljudskog faktora", a prema Fullerovom TCI modelu "zahtjev zadaće-sposobnost vozača" utječu na težinu zadaće tijekom vožnje. Dokazana je korelacijska ovisnost lumbalnog momenta Ml o indeksu tjelesne mase ITM u hipotetski najnepovoljnijem statičkom sjedećem radnom položaju, a na temelju stvarno izmjerenih statičkih antropomjera.Ključne riječi: antropomjere; ljudski faktor; normalni i maksimalni doseg ruku; središnjih 90 %; strojovođe; težina zadaće

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Rail human factors: Past, present and future

Cited by 78 publications

References 48 publications

Analyse de la fiabilité humaine : vers un cadre plus formel pour les applications ferroviaires

Analyse de la fiabilité humaine : vers un cadre plus formel pour les applications ferroviaires

Causes, consequences and countermeasures to driver fatigue in the rail industry: The train driver perspective

Anthropometric measures important for control panel design in locomotive or railcar

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