Abstract
This chapter provides a discussion of the important research topics for understanding behavioral responses to highly automated vehicles (AVs) as discussed at a breakout session at the Automated Vehicle Symposium (AVS) 2018. The session, and thus this chapter, highlights the need for valid behavioral data on which to base assumptions, models, forecasts, and impacts to inform AV adoption behaviors, the pathways of AV ownership and use, and the potential impact of AVs on human activity-travel behaviors and longer-term location choices.
The original version of this chapter was revised: Misspelt co-author name has been changed. The correction to this chapter is available at https://doi.org/10.1007/978-3-319-94896-6_22
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
Change history
16 October 2018
A correction has been published.
References
Zmud J, Sener I, Simek C, Gigante P (2018) Who’s on first: early adopters of self-driving vehicles. Texas A&M Transportation Institute, College Station
Lavieri PS, Garikapati VM, Bhat CR, Pendyala RM, Astroza S, Dias FF (2017) Modeling individual preferences for ownership and sharing of autonomous vehicle technologies. Transp Res Rec 2665:1–10
Acknowledgements
The authors gratefully acknowledge Kristin Kolodge and Joan Walker, who have been members of the behavioral responses breakout session planning committee; Eric Miller and Patricia Mokhtarian, who were the two invited presenters at the 2018 breakout session; and the numerous breakout session participants, who contributed immensely to the discussions shaping the chapter.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Zmud, J. et al. (2019). Research to Examine Behavioral Responses to Automated Vehicles. In: Meyer, G., Beiker, S. (eds) Road Vehicle Automation 5. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-94896-6_5
Download citation
DOI: https://doi.org/10.1007/978-3-319-94896-6_5
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-94895-9
Online ISBN: 978-3-319-94896-6
eBook Packages: EngineeringEngineering (R0)