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Human factors applications of on-train-data-recorder (OTDR) data: an exploratory study

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Abstract

This paper describes the results of an exploratory study on the analysis of on-train-data-recorder (OTDR) data. The results are discussed in terms of their applicability in competence management and human factors research. Data were downloaded for 20 journeys at the same time of day, over the same route during 1 month. The data were matched to the drivers rostered to work that route to compare differences within and between drivers. Clear differences were found between drivers in terms of their use of the power and brake levers, but unsurprisingly the network was also found to exert an influence on their use. The station dwell times and overall journey time were found to routinely exceed timetabled allowances, and red signals were frequently encountered across the 20 journeys. The data provide for possibilities to support driver competence management through the identification of desirable driving behaviours, but as yet such indicators have not been validated. The data also provide a wealth of information for human factors research that has applications in better understanding the train driver task and supporting it through improving rules and interface designs.

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References

  • Albert G, Musicant O, Lotan T, Toledo T, Grimberg E (2011) Evaluating changes in the driving behaviour of young drivers a few years after licensure using in-vehicle data recorders. In: Proceedings of the 6th international driving symposium on human factors in driver assessment, training and vehicle design, June 27–30, 2011, Olympic Valley—Lake Tahoe, California. University of Iowa, Iowa, pp 337–343

  • Balfe N, Smith B (2016) A framework for human factors analysis of railway on-train data. In: de Waard D, Toffetti A, Wiczorek R, Sonderegger A, Röttger S, Bouchner P, Franke T, Fairclough S, Noordzij M, Brookhuis K (eds) Proceedings of the human factors and ergonomics society europe chapter 2016 annual conference. HFES, Gronigen, pp 69–78

    Google Scholar 

  • Buck L (1963) Errors in the perception of railway signals. Ergonomics 6(2):181–192

    Article  Google Scholar 

  • Dunn N, Williamson A (2012) Driving monotonous routes in a train simulator: the effect of task demand on driving performance and subjective experience. Ergonomics 55(9):997–1008

    Article  Google Scholar 

  • El Rashidy R, Ahmed R, van Gulijk C (2016) Driver competence performance indicators using OTMR. In: CIT2016. Congreso de Ingenieriá del Transporte (XII Congress of Transport Engineering), 7th–9th June 2016, Valencia, Spain, pp 354–361

  • El Rashidy R, Hughes P, Esteban MF, van Gulijk C (2018) Automated train driver competency performance indicators using real train driving data. In: Haugen S, Barros A, van Gulijk C, Kongsvik T, Vinnem JE (eds) Safety and reliability – safe societies in a changing world. CRC Press, London, pp 3071–3075

    Chapter  Google Scholar 

  • Gibson H (2015) Industry human factors SPAD review: project summary report. Report no. RP002969. RSSB, London

  • Green SR, Barkby S, Puttock A, Craggs R (2011) Automatically assessing driver performance using black box OTDR data. In: Proceedings of the 5th IET conference on railway condition monitoring and non-destructive testing (RCM 2011), 29–30 Nov 2011, Derby, UK

  • Hamilton WI, Clarke T (2005). Driver performance modelling and its practical application to railway safety. In: Wilson JR, Norris B, Clarke T, Mills A (eds) Rail human factors: supporting the integrated railway. Ashgate, Aldershot

  • Lowe E, Turner C (2005) A human factors SPAD checklist. In: Wilson JR, Norris B, Clarke T, Mills A (eds) Rail human factors: supporting the integrated railway. Ashgate, Aldershot, pp 182–188

    Google Scholar 

  • Maag C, Schmitz M (2012) Assessment of train drivers’ performance in a driving simulator. In: Wilson JR, Mills A, Clarke T, Rajan J, Dadashi N (eds) Rail human factors around the world: impacts on and of people for successful rail operations. CRC Press, Leiden, pp 136–145

    Chapter  Google Scholar 

  • McLeod RW, Walker GH, Moray N, Mills A (2005) Analysing and modelling train driver performance. In: Wilson JR, Norris B, Clarke T, Mills A (eds) Rail human factors: supporting the integrated railway. Ashgate, Aldershot

  • Naweed A (2013) Hurry up and wait: danger signals in the rail environment. Ergon Aust 3(1):1–6

    Google Scholar 

  • Naweed A (2014) Investigations into the skills of modern and traditional train driving. Appl Ergon 45:462–470

    Article  Google Scholar 

  • Naweed A, Rainbird S (2015) Recovering time or chasing rainbows? Exploring time perception, conceptualization of time recovery, and time pressure mitigation in train driving. IIE Trans Occup Ergon Human Factors 3(2):91–104

    Article  Google Scholar 

  • RSSB (2010) Non-technical skills required in the train driver role: skills, behavioural markers and guidance notes. Report T869. RSSB, London

  • Russell S, Long B (2005) The role of the future train driver. In: Wilson JR, Norris B, Clarke T, Mills A (eds) Rail human factors: supporting the integrated railway. Ashgate, Aldershot

  • Strathie A, Walker G (2015) Can link analysis be applied to identify behavioural patterns in train recorder data? Hum Factors 58(2):205–217

    Article  Google Scholar 

  • Tichon J (2007) The use of expert knowledge in the development of simulations for train driver training. Cogn Technol Work 9:177–187

    Article  Google Scholar 

  • Walker G, Strathie A (2014) Combining human factors methods with transport data recordings. In: Stanton N, Landry S, Di Bucchianico G, Vallicelli A (eds) Advances in human aspects of transportation: part 2. AHFE International, Krakow, pp 236–245

    Google Scholar 

Download references

Acknowledgements

This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant number 14/IFB/2717.

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Correspondence to N. Balfe.

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Balfe, N. Human factors applications of on-train-data-recorder (OTDR) data: an exploratory study. Cogn Tech Work 23, 239–253 (2021). https://doi.org/10.1007/s10111-019-00622-y

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