Abstract
One research area within the development of automated vehicles deals with the impact analysis on traffic flow by numerical simulation. This study investigates human drivers’ acceptance while interacting with different levels of automated vehicles on highways including on- and off-ramps. Reactions between conventional, human driven vehicles (CV) and automated vehicles (AV) were tested using a driving simulator. Gaps and headways between vehicles were recorded and analyzed. The analysis indicates similar behavior between CVs and aggressive AVs (short headways) while prudent AVs were perceived less favorable by the test drivers. Additionally, long headways showed more disturbance in traffic flow than shorter headway setups of the automatic distance control (ACC).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Friedrich, B.: Verkehrliche Wirkung autonomer Fahrzeuge, In: Autonomes Fahren, Springer, Heidelberg (2015)
Talebpour, A., Mahmassani, H.S.: Influence of connected and autonomous vehicles on traffic flow stability and throughput. Transp. Res. Part C Emerg. Technol. 71, 143–163 (2016)
Ando, R., Nishihori, Y.: How does driving behavior change when following an eco-driving car? Procedia Soc. Behav. Sci. 20, 577–587 (2011)
Eichberger, A., Rogic, B., Quinz, P., Koglbauer, I.V., Payerl, C., Haberl, M., Malic, D.: Evaluation of human acceptance and comfort of automated highway driving at different levels of automation. In: Transport Research Arena (TRA 2018), 7 (2018)
Arefnezhad, S., Samiee, S., Eichberger, A., Nahvi, A.: Driver drowsiness detection based on steering wheel data applying adaptive neuro-fuzzy feature selection. Sensors 19(4), 943 (2019)
Koglbauer, I.V., Holzinger, J., Eichberger, A., Lex, C.: Drivers’ interaction with the adaptive cruise control on dry and snowy roads with various tire road grip potentials. J. Adv. Transp. 10 S (2017)
Koglbauer, I.V., Eichberger, A., Lex, C., Bliem, N., Sternat, A.S., Holzinger, J., Schinko, C., Battel, M.: Bewertung von Fahrerassistenzsystemen von nicht professionellen Fahrerinnen und Fahrern im Realversuch, Humanwissenschaftliche Beiträge zur Verkehrssicherheit und Ökologie des Verkehrs, Mehr sicheres Verhalten im Straßenverkehr (2015)
Krause, S., Motamedidehkordi, N., Busch, F., Hartmann, M., Vortisch, P.: Auswirkungen des teil- und hochautomatisierten Fahrens auf die Kapazität der Fernstraßeninfrastruktur. Forschungsvereinigung Automobiltechnik E. V., vol. 296 (2017)
Pumberger, A., Fessl, T., Authried, M.: Lkw-Geschwindigkeitesverhalten auf Autobahnen – Erhebung und Analyse der Lkw-Geschwindigkeiten auf ausgewählten Streckenabschnitten österreichischer Autobahnen, Verkehr und Infrastruktur, Nr. 44 (2011)
Kraschl-Hirschmann, K., Zallinger, M.S., Luz, R., Fellendorf, M., Hausberger, S.: A method for emission estimation for microscopic traffic flow simulation. In: 2011 IEEE Forum on Integrated and Sustainable Transportation Systems - Proceedings, pp. 300–305 (2011)
Geistefeldt, J., Giuliani, S., Busch, F., Schendzielorz, T., Haug, A., Vortisch, P., Leyn, U., Trapp, R.: HBS-konforme Simulation des Verkehrsablaufs auf Autobahnen (2015)
Hintermayer, B., Haberl, M., Neuhold, R., Fellendorf, M., Kerschbaumer, A., Rudigier, M., Eichberger, A., Rogic, B.: Effects of automated driving functions on the track availability of the Austrian motorway network. In: Transport Research Arena (TRA 2018), 7 (2018)
Chung, C., Fartner, N.: Acceleration Noise as a Measure of Effectiveness in the Operation of Traffic Control System (1973)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 VDI/VDE Innovation + Technik GmbH
About this paper
Cite this paper
Hanzl, G., Haberl, M., Eichberger, A., Fellendorf, M. (2021). Human Driver’s Acceptance of Automated Driving Systems Based on a Driving Simulator Study. In: Zachäus, C., Meyer, G. (eds) Intelligent System Solutions for Auto Mobility and Beyond. AMAA 2020. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-030-65871-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-65871-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-65870-0
Online ISBN: 978-3-030-65871-7
eBook Packages: EngineeringEngineering (R0)