Abstract
The concept of truck platooning comes from the virtual linking of two or more trucks driving on the road in convoy, with a short distance between them. These vehicles keep the distance using SAE level 2 or 3 automated driving technology supported by a Cooperative Adaptive Cruise Control system. The first truck is considered the leader and the following truck(s) react(s) and adapt(s) their speed and position on the lane without human action.
The TRAIN project addresses these issues through a Human-Centred approach to identify requirements for the development of truck platooning technology and assesses risks towards a safe deployment in the real world. Following the collection of qualitative data from experienced truck drivers, tests in a driving simulator will allow for identifying risks related to the drivers’ activity in truck platooning.
Finally, design and operational guidelines highlighting the importance of human-system integration in the system development will be issued.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Janssen, R., Zwijnenberg, H., Blankers, I., de Kruijff, J.: Truck platooning (February 2015). http://cvt-project.ir/Admin/Files/eventAttachments/TruckPlatooningbyDSRCFeb2015_541.pdf
Semeijn, J., de Waard, B., Lambrechts, W., Semeijn, J.: Burning rubber or burning out? The influence of role stressors on burnout among truck drivers. Logistics 3, 6 (2019). https://doi.org/10.3390/logistics3010006
Simoes, A., et al.: Identified risk factors among truck drivers circulating in France (2020)
Castritius, S.-M., et al.: Acceptance of truck platooning by professional drivers on German highways. A mixed methods approach. Appl. Ergon. 85, 103042 (2020)
Donkelaar, M., Pašek, R., Reid, B., Tříska, S.: D2.5 Report on International Competition and Best Practices in Road Transport Innovation. ERTRAC, Brussels (2018)
Kuhn, B., et al.: Commercial Truck Platooning Demonstration in Texas – Level 2 Automation. Texas A&M Transportation Institute. Technical report 0-6836-1 (2017)
ERTRAC Working Group. Connected Automated Driving Roadmap. Version 8. ERTRAC, Brussels (2019)
Simoes, A., et al.: The user and the automated driving: a state of the art. In: Stanton, N. (ed.) Advances in Human Factors of Transportation. Proceedings of the AHFE 2019 International Conference on Human Factors in Transportation. Springer, Southampton (2019)
Popken, A., Nilsson, L., Krems, J.F.: Drivers’ reliance on lane keeping assistance systems. Effects of different levels of assistance. In: Proceedings of European Conference on Human Centred Design for Intelligent Transport Systems, pp. 301–310 (2008)
Boy, G.: Human-Systems Integration: From Virtual to Tangible. CRC Press, T&F, New York (2020)
Hoffman, R.R., Johnson, M., Bradshaw, J.M.: Trust in automation, in human-centered computing. Florida Institute for Human and Machine Cognition. IEEE Computer Society (2013)
Färber, B.: Communication and communication problems between autonomous vehicles and human drivers. In: Autonomous Driving, pp. 125–144. Springer (2016)
Merat, N., et al.: The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications. Cogn. Technol. Work 21(1), 87–98 (2018). https://doi.org/10.1007/s10111-018-0525-8
Endsley, M.R.: From here to autonomy: lessons learned from human-automation research. Hum. Factors 59(1), 5–27 (2017). https://doi.org/10.1177/0018720816681350
Boy, G.A., Doule, O., De Kiss, V.M.K., Mehta, Y.: Human-systems integration verification principles for commercial space transportation. New Space 6, 53–64 (2018). https://doi.org/10.1089/space.2017.0040
Fitts, D.J., Sándor, A., Litaker, H.L., Tillman, B.: Human factors in human-systems integration human research program-space human factors & habitability. Space Human Factors Engineering Project (2008). https://www.nasa.gov/centers/johnson/pdf/486068main_HRP-SHFE-Human-Factors-in-Human-Systems-Integration%28Feb2008%29.pdf
Calvert, S., Schakel, W., van Arem, B.: Evaluation and modelling of the traffic flow effects of truck platooning. Transp. Res. Part C: Emerg. Technol. 105, 1–22 (2019). https://doi.org/10.1016/j.trc.2019.05.019
Acknowledgements
This work is financially supported by national funds through the FCT/MCTES (PIDDAC), under the project PTDC/ECI-TRA/4672/2020.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Simoes, A. et al. (2022). Mapping Risks and Requirements for Truck Platooning: A Human-Centred Approach. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_65
Download citation
DOI: https://doi.org/10.1007/978-3-030-85540-6_65
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-85539-0
Online ISBN: 978-3-030-85540-6
eBook Packages: EngineeringEngineering (R0)