Factors affecting autonomous vehicles adoption: a systematic review, proposed framework, and future roadmap

S Al Mansoori, M Al-Emran… - International Journal of …, 2023 - Taylor & Francis
Autonomous vehicles (AVs) offer several benefits, such as improving road safety, mitigating
traffic congestion, and reducing fuel consumption and gas emissions. Despite these …

A strategic review approach on adoption of autonomous vehicles and its risk perception by road users

G Sankeerthana, B Raghuram Kadali - Innovative Infrastructure Solutions, 2022 - Springer
The adoption of autonomous vehicle (AV) technology is significantly impacted by its
potential benefits as well as concerns for the users, which is of interest to researchers and …

[HTML][HTML] Investigating the impacts of autonomous vehicles on crash severity and traffic safety

D Almaskati, S Kermanshachi… - Frontiers in Built …, 2024 - frontiersin.org
Traffic accidents are a nationwide public health concern, but autonomous vehicles (AVs)
have the potential to significantly reduce accident severity and frequency by eliminating their …

[HTML][HTML] A Study of Young People's Intention to Use Shared Autonomous Vehicles: A Quantitative Analysis Model Based on the Extended TPB-TAM

Y Liao, H Guo, X Liu - Sustainability, 2023 - mdpi.com
Shared autonomous vehicles (SAVs) have the advantages of both autonomous driving
technology and shared transportation, which is an important development direction for …

[HTML][HTML] Autonomous vehicles: what are your intentions?

D Wishart, S Weaver, A Apuli - … research part F: traffic psychology and …, 2023 - Elsevier
Autonomous vehicles provide a variety of societal and environmental benefits, however
significant technological, legislative, and infrastructural advancements are still required for …

[HTML][HTML] A Cognitive Environment Modeling Approach for Autonomous Vehicles: A Chinese Experience

R Chen, J Hu, X Zhong, M Zhang, L Zhu - Applied Sciences, 2023 - mdpi.com
Existing environment modeling approaches and trajectory planning approaches for
intelligent vehicles are difficult to adapt to multiple scenarios, as scenarios are diverse and …

Competitive feedback particle swarm optimization enabled deep recurrent neural network with technical indicators for forecasting stock trends

NY Vanguri, S Pazhanirajan, TA Kumar - International Journal of …, 2023 - Springer
The stock market prices are dynamic, thus remaining a major challenge in forecasting future
stock trends. The Competitive Feedback Particle Swarm Optimization-based Deep …

[HTML][HTML] Optimizing Ambiance: Intelligent RGB Lighting Control in Structures Using Fuzzy Logic

GA Alvarez-Garcia, CL Zúñiga-Cañón… - Applied Sciences, 2024 - mdpi.com
Managing red–green–blue (RGB) lighting conditions within structures may evoke emotions
and positively influence behavior. Intelligent RGB lighting systems based on environmental …

A Review of Factors Affecting Severity of Autonomous Vehicle Crashes

D Almaskati, S Kermanshachi… - … on Transportation and …, 2024 - ascelibrary.org
Most of the researchers who have explored the factors that affect the severity of crashes
involving autonomous vehicles (AVs) by analyzing the data made available by the California …

An effective optimized deep learning for emotion classification from EEG signals

S Lokesh, TS Reddy - Signal, Image and Video Processing, 2023 - Springer
Electroencephalography (EEG) signals can be used for emotion recognition (ER), which is
an effective method for determining someone's mental state. However, because an EEG …