Exploring Driver Adaptation to L2 Driving Automation Using Existing Naturalistic Driving Data

Klauer, S. G.; Turturici, Marissa; Han, S.; Russell, S; Guo, F.; Noble, A; Antin, J F

doi:10.21949/hcf8-kh48

i

Exploring Driver Adaptation to L2 Driving Automation Using Existing Naturalistic Driving Data

2026-08-01
By Klauer, S. G. ; Turturici, Marissa ; Han, S.

File Language:

English

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Creators:

Klauer, S. G. ; Turturici, Marissa ; Han, S. ; Russell, S ; Guo, F. ; Noble, A ; Antin, J F
Corporate Creators:

Virginia Tech Transportation Institute
Corporate Contributors:

United States. Department of Transportation. National Highway Traffic Safety Administration. Office of Vehicle Safety Research
Subject/TRT Terms:
Publication/ Report Number:

DOT HS 813 827
DOI:

https://doi.org/10.21949/hcf8-kh48
Resource Type:

Tech Report
Geographical Coverage:

United States
Contracting Officer:

Gray, Jazzie
Corporate Publisher:

United States. Department of Transportation. National Highway Traffic Safety Administration
Abstract:

This research explored the concept of behavioral adaptation - how humans respond to introduction of a new technology that serves a specific need of the driver. Three existing naturalistic driving study databases were analyzed: (a) the L2 Naturalistic Driving Study, (b) the Virginia Connected Corridor Elite Naturalistic Driving Study, and (c) the Older Driver L2 Naturalistic Driving Study. The results illustrated an increase in eye off road metrics when L2 systems were active. Results further suggested that driver adaptation was present for high-risk secondary tasks, where there was a significant increase in engagement when L2 systems were active. Additionally, drivers set their vehicle speed above the speed limit more frequently over time, with higher speeds set when L2 systems were active.
Format:

PDF
Funding:

693JJ918D000006, Task Order 693JJ919F000121
Download URL:

https://rosap.ntl.bts.gov/view/dot/93144/dot_93144_DS1.pdf
File Type:

[PDF - 3.56 MB]
Collection(s):

NHTSA - Vehicle Safety Research
Main Document Checksum:

urn:sha-512:b18c8e81c5e76b0896985e054259273be508b53cdab4a4cdbdd7baddad199341e72514466935690ebe34e89e7ba8cbb8819eb921728f6ce2cf482a2d7a2ea616

File Language:

English

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