Skip to main content
SpringerLink
Log in

A Taxonomy of Skills and Knowledge for Efficient Autonomous Vehicle Operation

  • Conference paper
  • First Online:
Advances in Mobility-as-a-Service Systems (CSUM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1278))

Included in the following conference series:

Abstract

The autonomous vehicles are expected to bring unprecedented changes in the labor sector and the workforce. Traditional jobs will be alleviated, new will be created while people involved in the autonomous vehicle operation should be qualified with additional skills and knowledge in order to be able to deal with the new technology and the various systems. Furthermore, the impact on the role of the ‘driver’ is anticipated to be significant in all transportation modes. The purpose of the present research is to identify the skills and knowledge required for an efficient and proper operation of any autonomous vehicle. Both professional and private operators and all transportation sectors (road, rail, maritime, aviation) and autonomous levels will be considered as each one has different requirements.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Litman, T.: Autonomous vehicle implementation predictions: implications for transport planning. Transp. Res. Board Ann. Meet., 36–42 (2014)

    Google Scholar 

  2. Alonso Raposo, M., Grosso, M., Després, J., Fernández Macías, E., Galassi, C., Krasenbrink, A., Krause, J., Levati, L.M., Mourtzouchou, A., Saveyn, B., Thiel, C., Ciuffo, B.: An analysis of possible socio-economic effects of a Cooperative, Connected and Automated Mobility (CCAM) in Europe. European Union (2018)

    Google Scholar 

  3. Manser, M., Noble, A., Ghanipoor Machiani, S., Shortz, A., Klauer, S., Higgins, L. Ahmadi, A.: Driver training research and guidelines for automated vehicle technology (2019)

    Google Scholar 

  4. Marinik, A., Bishop, R., Fitchett, V., Morgan, J.F., Trimble, T.E., Blanco, M.: Human factors evaluation of level 2 and level 3 automated driving concepts: concepts of operation. National Highway Traffic Safety Administration, Washington, DC (2014)

    Google Scholar 

  5. Hutschins, C.: Autonomous Vehicles and Driver Capability (2018)

    Google Scholar 

  6. Fiedler, R., Bosse, C., Gehlken, D., Brummerstedt, K., Burmeister, H.C.: Autonomous vehicles’ impact on port infrastructure requirements (2019)

    Google Scholar 

  7. Lundquist, M.: Autonomous bus passenger experience. Ph.D. dissertation (2018)

    Google Scholar 

  8. Mirnig, A., Gärtner, M., Wallner, V., Trösterer, S., Meschtscherjakov, A., Tscheligi, M.: Where does it go? A study on visual on-screen designs for exit management in an automated shuttle bus. In: Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2019), pp. 233–243. Association for Computing Machinery, New York (2019)

    Google Scholar 

  9. Flämig, H.: Autonomous Vehicles and Autonomous Driving in Freight Transport (2016)

    Google Scholar 

  10. Brandenburger, N., Hörmann, H.J., Stelling, D., Naumann, A.: Tasks, skills, and competencies of future high-speed train drivers. Proc. Inst. Mech. Eng. Part F J. Rail Rapid Trans. (2016)

    Google Scholar 

  11. Australian Industry Standards – Rail IRC Skills Forecast (2018)

    Google Scholar 

  12. Brandenburger, N., Naumann, A., Friedrich, B., Grippenkoven, J.: Automation in railway operations: effects on signaller and train driver workload (2018)

    Google Scholar 

  13. Brandenburger, N., Naumann, A.: From in-cabin driving to remote interventions – train driver tasks change with railway automation. In: Poster at HFES Europe Chapter Annual Meeting (2018). https://www.hfes-europe.org/posters-2018/

  14. Shift2Rail: Bridging the Skills Gap for the Rail Sector - Analysis of Six Measures and Recommendations (2019)

    Google Scholar 

  15. Bienfait, B., Zoetardt, P., Barnard, B.: Automatic train operation: the mandatory improvement for ETCS applications. Aspect Irse, pp. 1–10 (2012)

    Google Scholar 

  16. Australian Industry Standards – Rail Sector Overview (2018)

    Google Scholar 

  17. Infante, V., Sousa, D.: Deliverable D3.1: proposed future training curricula and courses for the transport sector. The skilful project (2018)

    Google Scholar 

  18. World Maritime University: Transport 2040: Autonomous ships: A new paradigm for Norwegian shipping - Technology and transformation (2019). Reports. 59

    Google Scholar 

  19. International Chamber of Shipping: Seafarers and digital disruption - The effect of autonomous ships on the work at sea, the role of seafarers and the shipping industry (2018)

    Google Scholar 

  20. IMOConvention on the International Regulations for Preventing Collisions at Sea (COLREGs) (1972)

    Google Scholar 

  21. Veritas, B.: Guidelines for autonomous shipping. guidance note NI 641 DT R00 E (2017), checked on 11 June 2018

    Google Scholar 

  22. Fraunhofer CML: RoboVaaS - Robotic Vessels as-a-Service (2019). https://www.cml.fraunhofer.de/en/researchprojects/current-projects.html

  23. Vartdal, B.J., Skjong, R., Clair, A.L.S.: Remote-Controlled and Autonomous Ships (2018)

    Google Scholar 

  24. Carey, L.: Report on BIMCO autonomous ships seminar (2019). https://law.nus.edu.sg/cml/pdfs/reports/CML-R1901.pdf

  25. Pavlas, D., Burke, S., Fiore, S., Salas, E., Jensen, R., Fu, D.: Enhancing unmanned aerial system training: a taxonomy of knowledge, skills, attitudes, and methods. Hum. Fact. Ergon. Soc. Ann. Meet. Proc. 53, 1903–1907 (2009)

    Article  Google Scholar 

  26. Tvaryanas, A.P., Thompson, W.T., Constable, S.H.: Human factors in remotely piloted aircraft operations: HFACS analysis of 221 mishaps over 10 years. Aviat. Space Environ. Med. 77(7), 724–732 (2007)

    Google Scholar 

  27. Wilson, J.R.: UAVs and the human factor. Aerospace Am. 40, 54–57 (2002)

    Google Scholar 

  28. Federal Aviation Administration: Summary of Small Unmanned Aircraft Rule (Part 107) (2016). https://www.faa.gov/uas/media/Part_107_Summary.pdf

  29. Colombo, P.: Self-Flying planes are here; autonomous aircraft are the future (2019). https://www.ansys.com/blog/self-flying-planes-vs-autonomous-aircraft

  30. Duval, T., Green, A., Langstaff, M., Miele, K.: Air-mobility solutions: what they’ll need to take off (2019). https://www.mckinsey.com/industries/capital-projects-and-infrastructure/our-insights/air-mobility-solutions-what-theyll-need-to-take-off

  31. European Union Aviation Safety Agency: Concept of Operations for Drones A risk based approach to regulation of unmanned aircraft (2015)

    Google Scholar 

Download references

Acknowledgement

The analysis is conducted within the framework of Drive2theFuture project (Needs, wants and behavior of “Drivers” and automated vehicle users today and into the future” funded by European Commission under the MG-3.3.2018: “Driver” behavior and acceptance of connected, cooperative and automated transport; Research and Innovation Action (RIA).

Author information

Authors and Affiliations

  1. National Technical University of Athens, 5 Iroon Polytechniou, 15773, Athens, Greece

    Foteini Orfanou, Eleni Vlahogianni & George Yannis

Authors
  1. Foteini Orfanou
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Eleni Vlahogianni
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. George Yannis
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Foteini Orfanou .

Editor information

Editors and Affiliations

  1. Department of Civil Engineering, University of Thessaly, Volos, Greece

    Eftihia G. Nathanail

  2. Department of Civil Engineering, University of Thessaly, Volos, Greece

    Giannis Adamos

  3. Department of Civil Engineering, University of Thessaly, Volos, Greece

    Ioannis Karakikes

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Orfanou, F., Vlahogianni, E., Yannis, G. (2021). A Taxonomy of Skills and Knowledge for Efficient Autonomous Vehicle Operation. In: Nathanail, E.G., Adamos, G., Karakikes, I. (eds) Advances in Mobility-as-a-Service Systems. CSUM 2020. Advances in Intelligent Systems and Computing, vol 1278. Springer, Cham. https://doi.org/10.1007/978-3-030-61075-3_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-61075-3_30

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61074-6

  • Online ISBN: 978-3-030-61075-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation