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Using Cognitive Work Analysis to Inform Agent-Based Modelling of Automated Driving

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Advances in Social Simulation

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

Abstract

Cognitive work analysis is a systems analysis framework from the field of human factors. The framework provides information about the constraints of agent behaviour that can potentially be useful for the development of agent-based models. This chapter discusses a current programme of research which aims to integrate cognitive work analysis with agent-based modelling to identify and manage emergent risks to safety associated with the introduction of automated vehicles into the road transport system. A proposed approach to the integration of the methods is described.

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References

  1. Stanton, N.A., Marsden, P.: From fly-by-wire to drive-by-wire: safety implications of automation in vehicles. Saf. Sci. 24(1), 35–49 (1996)

    Article  Google Scholar 

  2. Vicente, K.: Cognitive Work Analysis. Lawrence Erlbaum Associates, Mahwah (1999)

    Book  Google Scholar 

  3. Correa, J.C.: The behavioral interaction of road users in traffic: an example of the potential of intelligent agent-based simulations in psychology. Rev. Latinoam. Psicol. 41, 201–208 (2016)

    Google Scholar 

  4. Kim, S., et al.: Impact of road environment on drivers’ behaviors in dilemma zone: application of agent-based simulation. Accid. Anal. Prev. 96(1), 329–340 (2016)

    Article  Google Scholar 

  5. Thompson, J., Newnam, S., Stevenson, M.: A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system. Transp. Res. A. 82, 204–215 (2015)

    Google Scholar 

  6. Mladenović, M.N. & Abbas, M.M: Self-organizing control framework for driverless vehicles. Proceedings of ITSC 2013, The Hague, Netherlands (2013)

    Google Scholar 

  7. van Lint, H., et al.: Getting the human factor into traffic flow models – a new open-source design to simulate next-generation traffic operations. Transp. Res. Rec. 2561, 25–33 (2016)

    Article  Google Scholar 

  8. Sanderson, P., et al.: Use of cognitive work analysis across the system life cycle: from requirements to decommissioning. HFES Ann. Meeting. 43, 318–322 (1999)

    Article  Google Scholar 

  9. Salmon, P.M., Read, G.J.M.: Many model thinking in systems ergonomics: a case study in road safety. Ergonomics. 62, 612 (2019)

    Article  Google Scholar 

  10. Neisser, U.: Cognition and Reality: Principles and Implications of Cognitive Psychology. Freeman, San Francisco (1976)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Centre for Human Factors and Sociotechnical Systems, University of the Sunshine Coast, Maroochydore, Australia

    Gemma J. M. Read & Paul M. Salmon

  2. Transport, Health and Urban Design (THUD) Research Hub, Faculty of Architecture, Building and Planning, Melbourne School of Design, The University of Melbourne, Melbourne, VIC, Australia

    Jason Thompson

Authors
  1. Gemma J. M. Read
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  2. Paul M. Salmon
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  3. Jason Thompson
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Corresponding author

Correspondence to Gemma J. M. Read .

Editor information

Editors and Affiliations

  1. Department of Computer and Systems Sciences, Stockholm University, Kista, Sweden

    Harko Verhagen

  2. Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsø, Norway

    Melania Borit

  3. Linnaeus University Centre for Data Intensive Sciences and Applications, Växjö, Sweden

    Giangiacomo Bravo

  4. Stockholm Resilience Centre, Stockholm University, Stockholm, Sweden

    Nanda Wijermans

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Read, G.J.M., Salmon, P.M., Thompson, J. (2020). Using Cognitive Work Analysis to Inform Agent-Based Modelling of Automated Driving. In: Verhagen, H., Borit, M., Bravo, G., Wijermans, N. (eds) Advances in Social Simulation. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-34127-5_38

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