scholarly journals Analysing and Modelling Train Driver Performance

2017 ◽  
pp. 70-80 ◽  
Author(s):  
Ronald W. McLeod ◽  
Guy H. Walker ◽  
Neville Moray ◽  
Ann Mills
2005 ◽  
Vol 36 (6) ◽  
pp. 671-680 ◽  
Author(s):  
Ronald W. McLeod ◽  
Guy H. Walker ◽  
Neville Moray

2013 ◽  
Vol 10 ◽  
pp. 361-366 ◽  
Author(s):  
Jalil Azlis-Sani ◽  
Siti Zawiah Md. Dawal ◽  
Zakuan Norhayati Mohmad

The purpose of this paper is to explain the assessment of validity and reliability of measured items used in survey research. The structural equation modeling techniques and Partial Least Square (PLS) will be adopted to assess the goodness of measures of constructs used in a model to examine the performance of the Malaysian train drivers. The measurement process involves assessment of construct validity of the items and followed by convergent validity. Then, the composite reliability was assessed with internal consistency measure of Cronbachs alpha. Lastly, discriminant validity was tested to assess the validity of the measurement. The constructs are not supposed to measure other constructs or overlapping constructs.


Author(s):  
Mohammed Manar Rekabi ◽  
Yiliu Liu

The main objective of this chapter is to analyze safety in railway systems through studying and understanding the train drivers' tasks and their common errors. Different approaches to classifying and analyzing driver errors are reviewed, as well the factors that affect driver performance. A comprehensive overview of the systems theoretic process analysis (STPA) method is presented, along with how it could be applied for controllers and humans. Quantitative risk assessment, along with some methods for quantifying human errors, are overviewed, and a Bayesian network is selected to study the effects of the identified driver errors. A case study aims to present a detailed quantitative safety analysis at European Train Control System (ETCS) system Levels 1 and Level 2, including driver errors. The STPA and Bayesian methods are combined to identify the hazards and quantify the probabilities of hazards when trains fail to stop at red signals.


2018 ◽  
Vol 1049 ◽  
pp. 012105
Author(s):  
Jalil Azlis-Sani ◽  
Siti Zawiah Md Dawal ◽  
Norhayati Mohmad Zakwan

Author(s):  
Aleksandrs Rjabovs ◽  
Roberto Palacin

Although it is accepted that system design affects train driver performance, the literature related to this phenomenon – in relation to urban railways and metro systems in particular – is scarce. Metro systems differ significantly from mainline railways, being closed systems, with shorter headways, a greater number of stations and more signals encountered. This paper aims to investigate the effects of design-related performance shaping factors on metro driver performance, by analysing historical incident records for the 2011–2013 period on the Tyne & Wear (T&W) Metro (UK). Bivariate statistical analysis has been used, to assess the potential inter-dependency of the performance shaping factors and other common causal factors, for various driver-related incident types. In addition to category A signals passed at danger incidents, station overruns, and incidents associated with station procedures have also been assessed. The results show the significant importance of the location (design) based performance shaping factors in incident propagation mechanisms in the Metro. The two years under investigation display increased consistency between driver-related incidents and locations, rather than time of day, or season. In addition, the highest correlation between incidents has been found in terms of locations. Deviations from a standardised T&W Metro station design were found to associate with either an increase or decrease in incident rates, depending on whether additional complexity or simplicity was introduced. Although the features of metro systems suggest improved route knowledge and system familiarity among drivers, the results show that this can actually lead to an unsatisfactory safety-related performance during non-routine operations, e.g. engineering works, or driving in sidings.


2017 ◽  
Vol 95 ◽  
pp. 104-115 ◽  
Author(s):  
Anthea R. Hickey ◽  
Michael D. Collins

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