This paper presents an analytical–synthetic model of ergonomic research of the abilities of the dispatcher/operator in the control room for the automatic control of railway transportation. Twenty performance indicators describing the operators’ performance (work capacity and perceptive abilities) and the main characteristics of the control room (work organization and ergo-technical analysis) are identified. A group fuzzy analytic hierarchy process is applied in the process of ranking and selection of key performance indicators of railway control rooms. The selected key performance indicators (the operator’s hand movement, visual symptoms of fatigue, device error analysis, location and dimensions of the control desk) are analysed in detail.
AnMChenYBakerCJ (2011) A fuzzy reasoning and fuzzy-analytical hierarchy process based approach to the process of railway risk information: A railway risk management system. Information Sci181(18): 3946–3966.
3.
AzadehAGhaderiSFIzadbakhshH (2008) Integration of DEA and AHP with computer simulation for railway system improvement and optimization. Appl Maths Computation195(2): 775–785.
4.
BuddarajuD (2011) Performance of control room operators in alarm management. Master thesis, Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College, USA.
5.
BulutEDuruOKeçeciT. (2012) Use of consistency index, expert prioritization and direct numerical inputs for generic fuzzy-AHP modeling: A process model for shipping asset management, Exp Sys Applics39(2): 1911–1923.
6.
ChangDY (1996) Applications of the extent analysis method on fuzzy AHP. Eur J Opl Res95: 649–655.
7.
CordinerLWilsonJRRobbertsS (1999) Evaluation of control room human factors: A case study in the Railway industry. In: People in control: An international conference on human interfaces in control rooms, cockpits and command centres, Bath, UK, 21–23 June 1999, pp. 26–30. London: Institution of Engineering and Technology.
8.
CrawfordEGCToftYKiftRL (2013) New control room technologies: human factors analytical tools for railway safety. Proc IMechE, Part F: J Rail and Rapid Transit227(5): 529–538.
9.
CrawfordGWilliamsC (1985) A note on the analysis of subjective judgment matrices. J Mathematical Psychol29: 387–405.
10.
DadashiNWilsonJRGolightlyD. (2013) Practical use of work analysis to support rail electrical control rooms: A case of alarm handling. Proc IMechE, Part F: J Rail and Rapid Transit227 (2): 148–160.
11.
DavydovB (2013) Collective intelligent management of freight trains’ flow. In: Proceedings of the second international conference on intelligent systems and applications (INTELLI 2013), Venice, Italy, 21–26 April 2013, pp. 147–152. New York: (IARIA) XPS.
12.
DengH (1999) Multicriteria analysis with fuzzy pairwise comparison. Int J Approximate Reasoning21: 215–231.
13.
FormanEPaniwatiK (1998) Aggregating individual judgments and priorities with the analytical hierarchy process. Eur J Opl Res108: 165–169.
14.
GertlerJDiFioreARaslearT (2013) Fatigue status of the U.S. Railroad industry. Report, US Department of transportation, Federal railroad administration, Washington, DC, USA.
15.
GrozdanovicM (2003) Ergonomic Design of Control and Managing Centres of Automated Systems. Niš: University of Niš. (in Serbian)
16.
GrozdanovicM (2005) Ergonomic design of control and managing centres in electro energetic system and railway traffic in Serbia and Montenegro. In: Proceedings of the international conference of computer-aided ergonomics, human factors and safety (CAES 2005), Košice, Slovakia, 25–28 May 2005. Košice: Technical University of Košice.
17.
HaJSSeongPH (2009) A human–machine interface evaluation method: A difficulty evaluation method in information searching (DEMIS). Reliability Engng System Safety94(10): 1557–1567.
18.
HSE (2009) Human Factors/Ergonomics – Health and Safety in the Workplace. Liverpool: HSE Books.
IvergardTHuntB (2008) Handbook of Control Room Design and Ergonomics: A Perspective for the Future, 2nd edn.Boca Raton, FL: CRC Press.
21.
JornaRvan WezelWKiewietDJ. (2005) Analysis and support of planning in the Dutch Railroad Company. In: WilsonJRNorrisBJClarkeTMillsA (eds), Rail Human Factors: Supporting the Integrated Railway. London: Ashgate Publishing, pp. 285–295.
22.
KahramanCCebeciURuanD (2004) Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. Int J Prod Econs87: 171–184.
23.
KauppiAWikstromJHellstromP. (2005). Future train traffic control, control by re-planning. In: WilsonJRNorrisBJClarkeTMillsA (eds), Rail Human Factors: Supporting the Integrated Railway. London: Ashgate Publishing, pp. 296–305.
24.
LiXMcKeeDJHorberryT. (2011) The control room operator: The forgotten element in mineral process control. Minerals Engng24: 894–902.
25.
LinCJFengWYChaoCJ. (2008), Effects of VDT workstation lighting conditions on operator visual workload. Ind Health46: 105–111.
26.
MancaDNazirSLucernoniF. (2012) Performance indicators for the assessment of industrial operators. Comp Aided Chem Engng30: 1422–1426.
27.
MeshkatiN (2006) Safety and human factors considerations in control rooms of oil and gas pipeline systems: Conceptual issues and practical observations. Int J Occup Safety Ergonom12(1): 79–93.
28.
MikhailovLTsvetinovP (2004) Evaluation of services using a fuzzy analytic hierarchy process. Appl Soft Comp5: 23–33.
29.
NimmoI (2010) Safety and automation system (SAS) – How the safety and the automation systems finally come together as an HMI. White paper. Available at: www.plantservices.com/whitepapers/2010/006.html (accessed 27 March 2015).
30.
ParkKSLeeJI (2008) A new method for estimating human error probabilities: AHP–SLIM. Reliability Engng System Safety93(4): 578–587.
31.
PickupLWilsonJNicholsS. (2005) A conceptual framework of mental workload and the development of a self-reporting integrated workload scale for railway signallers. In: WilsonJRNorrisBJClarkeTMillsA (eds), Rail Human Factors: Supporting the Integrated Railway. London: Ashgate Publishing, pp. 319–329.
32.
PopkinSGertlerJReinachS (2001) A preliminary examination of railroad dispatcher workload, stress and fatigue. Report, US Department of transportation, Washington, DC, USA.
33.
RothEMPattersonES (2005) Using observational study as a tool for discovery: uncovering cognitive and collaborative demands and adaptive strategies. In: MontgomeryHLipshitzRBrehmerB (eds) How professionals make decisions. Mahwah, NJ: Erlbaum, pp. 379–393.
34.
SheridanTB (1999) Human supervisory control of aircraft, rail and highway vehicles. Trans Inst Measmt Control21(4–5): 191–201.
35.
SmithPBlandfordABackJ (2008) Questioning, exploring, narrating and playing in the control room to maintain system safety. Cognition Technol Work11: 279–291.
36.
SunQiZhangYanpengLiYulong. (2011) Study on fuzzy evaluation of train operation dispatching system for China passenger dedicated lines based on AHP. In: DaiM (ed.) Innovative Computing and Information. Communications in Computer and Information Science vol. 231. Berlin, Heidelberg: Springer, pp. 513–518.
37.
TsengYFLeeTZ (2009) Comparing appropriate decision support of human resource practices on organizational performance with DEA/AHP model. Exp Sys Applics36: 6548–6558.
38.
VanderhaegenF (2001) A non-probabilistic prospective and retrospective human reliability analysis method – application to railway system. Reliab Eng Syst Safe71: 1–13.
39.
VicenteKMumawRRothE (2004) Operator monitoring in a complex dynamic work environment: a qualitative cognitive model based on field observations. Theoret Issues Ergonomics Sci5(5): 359–384.
40.
VicenteKJRothEMMumawRJ (2001). How do operators monitor a complex, dynamic work domain? The impact of control room technology. Int J Human Comp Studies, 54: 831–856.
41.
WilsonJPickupLNorrisB. (2005) Understanding of mental workload in the railways. In: WilsonJRNorrisBJClarkeTMillsA (eds), Rail Human Factors: Supporting the Integrated Railway. London: Ashgate Publishing, pp. 309–318.
42.
WilsonJRCordinerLNicholsS. (2001) On the right track: Systematic implementation of ergonomics in railway network control. Cognit Technol Work3: 238–252.
43.
WilsonJRNorrisBJ (2005) Rail human factors: Past, present and future. Appl Ergonomics36: 649–660.
