Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment

The advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. This is particularly evident in scenarios involving takeover events, where there is a transition of control from the vehicle to the human driver. Our driving simulator study, involving 14 drivers in a work-zone environment, provides critical insights into the takeover performance of level 3 to level 5 AVs. The findings suggest that the successful integration of AVs depends on their seamless incorporation into existing systems and the readiness of drivers to adapt to this emerging technology.

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Publication Details

Published
2024-11-07
DOI
https://doi.org/10.3390/engproc2024079059
Citations
1
Primary Topic
Human-Automation Interaction and Safety
Type
article
Field-Weighted Citation Impact
0.64
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article

Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment

Viktor Nagy, Ágoston Pál Sándor, Attila Borsos, Diovane Mateus da Luz
1 citations
Human-Automation Interaction and Safety
0.64
article

Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment

Viktor Nagy, Ágoston Pál Sándor, Attila Borsos, Diovane Mateus da Luz
article en
1 citations

Abstract

The advent of autonomous vehicles (AV) could revolutionize the automotive industry by significantly improving safety, efficiency, and accessibility. Despite their potential to improve traffic safety by reducing human error, their integration into existing transportation systems presents significant challenges. This is particularly evident in scenarios involving takeover events, where there is a transition of control from the vehicle to the human driver. Our driving simulator study, involving 14 drivers in a work-zone environment, provides critical insights into the takeover performance of level 3 to level 5 AVs. The findings suggest that the successful integration of AVs depends on their seamless incorporation into existing systems and the readiness of drivers to adapt to this emerging technology.

Széchenyi István University (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Human-Automation Interaction and Safety
0.64
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Evaluation of Autonomous Vehicle Takeover Performance in Work-Zone Environment — Viktor Nagy, Ágoston Pál Sándor, et al. · (2024) | TGRS Research Map | TGRS