Abstract
Rather different views on the state of the art in truck platooning have seen some significant public activity earlier in 2019. Is it that complex to achieve real world bottom line fuel savings on public highways or public roads? What role do users – truck drivers – play when it comes to truck platooning acceptance? Acceptance issues are vital for successfully deploying truck platooning technologies. Acceptance of truck platooning may vary according to the level of automation and diverse application contexts. This paper sketches deployment paths of truck platooning and investigates truck platooning acceptance issues. Doing so, a literature review regarding truck platooning acceptance as well as empirical studies in Austria are conducted. The empirical findings confirm the trust among drivers in level 1 platoons and indicate truck drivers are rather reserved when it comes to the intention to use level 1 platooning.
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References
Graeter, A., Rosenquist, M., Steiger, E., Kulmala, R.: Automated Driving Roadmap, Version 7.0, 29/05/2017. ERTRAC Working Group “Connectivity and Automated Driving” (2017)
Janssen, R., Zwijnenberg, H., Blankers, I., de Kruijff, J.: Truck platooning: driving the future of transportation (2015)
Larburu, M., Sanchez, J., Rodriguez, D.J.: Safe road trains for environment: human factors’ aspects in dual mode transport systems. In: ITS World Congress, Busan, Korea (2010)
Sadeghian Borojeni, S., Friedrichs, T., Heuten, W., Lüdtke, A., Boll, S.: Design of a human-machine interface for truck platooning. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, CHI EA 2016, pp. 2285–2291. ACM, New York (2016). https://doi.org/10.1145/2851581.2892477
Zheng, R., Nakano, K., Kato, S., Ogitsu, T., Yamabe, S., Aoki, K., Suda, Y.: Human-machine interface system for simulation-based automatic platooning of trucks. In: 2013 16th International IEEE Conference on Intelligent Transportation Systems-(ITSC), pp. 535–539 (2013)
Friedrichs, T., Ostendorp, M.-C., Lüdtke, A.: Supporting Drivers in Truck Platooning: development and evaluation of two novel human-machine interfaces. In: Proceedings of the 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Automotive’UI 2016, pp. 277–284. ACM, New York (2016). https://doi.org/10.1145/3003715.3005451
Hjälmdahl, M., Krupenia, S., Thorslund, B.: Driver behaviour and driver experience of partial and fully automated truck platooning - a simulator study. Eur. Transp. Res. Rev. 9(1), 8 (2017)
Shladover, S., Lu, X.-Y., Yang, S., Ramezani, H., Spring, J., Nowakowski, C., Nelson, D.: Cooperative adaptive cruise control (CACC) for partially automated truck platooning. UC Berkeley Research Reports (2018)
Fröhlich, P., Sackl, A., Trösterer, S., Meschtscherjakov, A., Diamond, L., Tscheligi, M.: Acceptance factors for future workplaces in highly automated trucks. In: Proceedings of the 10th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, AutomotiveUI 2018, pp. 129–136. ACM, New York (2018). https://doi.org/10.1145/3239060.3240446
Richardson, N., Doubek, F., Kuhn, K., Stumpf, A.: Assessing truck drivers’ and fleet managers’ opinions towards highly automated driving. In: Advances in Human Aspects of Transportation, pp. 473–484. Springer (2017)
Engström, J., Bishop, R., Shladover, S.E., Murphy, M.C., O’Rourke, L., Voege, T., Denaro, B., Demato, R., Demato, D.: Deployment of automated trucking: challenges and opportunities. In: Automated Vehicles Symposium 2018, pp. 149–162 (2018)
Bevly, D., Murray, C., Lim, A., Turochy, R., Sesek, R., Smith, S., Humphreys, L., Apperson, G., Woodruff, J., Gao, S., Gordon, M., Smith, N., Praharaj, S., Batterson, J., Bishop, R.: Heavy truck cooperative adaptive cruise control: evaluation, testing, and stakeholder engagement for near term deployment: Phase two final report (2017)
Venkatesh, V., Bala, H.: Technology acceptance model 3 and a research agenda on interventions. Decis. Sci. 39(2), 273–315 (2008)
Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)
Acknowledgments
This research was partially supported by the research field ‘Smart Hyperconnected Logistics Systems” funded by the State of Upper Austrian as part of the research program ‘FTI Struktur Land Oberösterreich’. Moreover, this research was partially supported by the Austrian truck platooning project ‘Connecting Austria’, which is funded by the Austrian Ministry for Transport, Innovation and Technology.
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Neubauer, M., Schauer, O., Schildorfer, W. (2020). A Scenario-Based Investigation of Truck Platooning Acceptance. In: Stanton, N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham. https://doi.org/10.1007/978-3-030-20503-4_41
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DOI: https://doi.org/10.1007/978-3-030-20503-4_41
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