Public acceptance and perception of autonomous vehicles: a comprehensive review

K Othman - AI and Ethics, 2021 - Springer
Autonomous vehicles (AVs) or self-driving cars have the potential to provide many benefits
such as improving mobility and reducing the energy and emissions consumed, travel time …

Autonomous vehicles: Sophisticated attacks, safety issues, challenges, open topics, blockchain, and future directions

A Giannaros, A Karras, L Theodorakopoulos… - … of Cybersecurity and …, 2023 - mdpi.com
Autonomous vehicles (AVs), defined as vehicles capable of navigation and decision-making
independent of human intervention, represent a revolutionary advancement in transportation …

Drivers trust, acceptance, and takeover behaviors in fully automated vehicles: Effects of automated driving styles and driver's driving styles

Z Ma, Y Zhang - Accident Analysis & Prevention, 2021 - Elsevier
Automated Vehicle (AV) technology has the potential to significantly improve driver safety.
Unfortunately, drivers could be reluctant to ride with AVs due to their lack of trust and …

Do autonomous vehicles drive like humans? A Turing approach and an application to SAE automation Level 2 cars

E Cascetta, A Carteni, L Di Francesco - Transportation research part C …, 2022 - Elsevier
Fully automated vehicles (AVs) are set to become a reality in future decades and changes
are to be expected in user perceptions and behavior. While AV acceptability has been …

Polite speech strategies and their impact on drivers' trust in autonomous vehicles

J Lee, KM Lee - Computers in Human Behavior, 2022 - Elsevier
This study proposes adopting linguistic politeness in vehicle speech interfaces, as active
communication between drivers and vehicles will become an essential part of driving with …

[HTML][HTML] Overtaking on two-lane two-way rural roads: A personalized and reactive approach for automated vehicle

B Vigne, R Orjuela, JP Lauffenburger… - … Research Part C …, 2024 - Elsevier
Abstract Research on Connected and Automated Vehicles (CAV) has primarily focused on
highway and urban environments, neglecting the significance and dangers of two-lane two …

Multimodal driver state modeling through unsupervised learning

A Tavakoli, A Heydarian - Accident Analysis & Prevention, 2022 - Elsevier
Naturalistic driving data (NDD) can help understand drivers' reactions to each driving
scenario and provide personalized context to driving behavior. However, NDD requires a …

Maveric: A data-driven approach to personalized autonomous driving

ML Schrum, E Sumner, MC Gombolay… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Personalization of autonomous vehicles (AVs) may significantly increase acceptance. In
particular, we hypothesize that the similarity of an AV's driving style compared to a user's …

[HTML][HTML] Perception of autonomous vehicles–A Ghanaian perspective

W Ackaah, KK Osei - Transportation research interdisciplinary …, 2021 - Elsevier
This paper examines the general perceptions of the public on Autonomous Vehicles (AVs).
A survey was conducted that sampled 417 respondents. The survey was carried out using …