The role of 5G technologies in a smart city: The case for intelligent transportation system

A Gohar, G Nencioni - Sustainability, 2021 - mdpi.com
A smart city is an urban area that collects data using various electronic methods and
sensors. Smart cities rely on Information and Communication Technologies (ICT) and aim to …

Shared autonomous vehicle services: A comprehensive review

S Narayanan, E Chaniotakis, C Antoniou - Transportation Research Part C …, 2020 - Elsevier
The actions of autonomous vehicle manufacturers and related industrial partners, as well as
the interest from policy makers and researchers, point towards the likely initial deployment of …

Deep learning for safe autonomous driving: Current challenges and future directions

K Muhammad, A Ullah, J Lloret… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Advances in information and signal processing technologies have a significant impact on
autonomous driving (AD), improving driving safety while minimizing the efforts of human …

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

M Shaygan, C Meese, W Li, XG Zhao… - … research part C: emerging …, 2022 - Elsevier
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a
critical problem globally, resulting in negative consequences such as lost hours of additional …

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 …

[HTML][HTML] Implications of automated vehicles for physical road environment: A comprehensive review

O Tengilimoglu, O Carsten, Z Wadud - Transportation research part E …, 2023 - Elsevier
Automated vehicles (AVs) have received intense attention in academia and industry around
the world in recent years, but the imminent introduction of AVs brings new challenges and …

Autonomous electric vehicles can reduce carbon emissions and air pollution in cities

T Ercan, NC Onat, N Keya, O Tatari, N Eluru… - … Research Part D …, 2022 - Elsevier
Heavy dependence on personal vehicle usage made the transportation sector a major
contributor to global climate change and air pollution in cities. In this study, we analyzed …

AHP integrated TOPSIS and VIKOR methods with Pythagorean fuzzy sets to prioritize risks in self-driving vehicles

G Bakioglu, AO Atahan - Applied Soft Computing, 2021 - Elsevier
Self-driving vehicles are of critical importance to a future sustainable transport system, which
is expected to become widespread around the world. However a substantial amount of risk …

Explainable artificial intelligence for autonomous driving: A comprehensive overview and field guide for future research directions

S Atakishiyev, M Salameh, H Yao, R Goebel - arXiv preprint arXiv …, 2021 - arxiv.org
Autonomous driving has achieved significant milestones in research and development over
the last decade. There is increasing interest in the field as the deployment of self-operating …

Point-cloud based 3D object detection and classification methods for self-driving applications: A survey and taxonomy

D Fernandes, A Silva, R Névoa, C Simões… - Information …, 2021 - Elsevier
Autonomous vehicles are becoming central for the future of mobility, supported by advances
in deep learning techniques. The performance of aself-driving system is highly dependent …