[HTML][HTML] Impact of artificial intelligence on aeronautics: An industry-wide review
A Zaoui, D Tchuente, SF Wamba… - Journal of Engineering …, 2024 - Elsevier
Curiously, there are few contributions in the scientific literature on the subject of artificial
intelligence (AI) and its impact on aeronautics. However, many communications and reports …
intelligence (AI) and its impact on aeronautics. However, many communications and reports …
Synergizing Autonomous and Traditional Vehicles: A Systematic Review of Advances and Challenges in Traffic Flow Management With Signalized Intersections
The advent of technology has led to substantial progress in the field of autonomous vehicles
(AVs), indicating that AVs will become a generic mode of transport in the near future …
(AVs), indicating that AVs will become a generic mode of transport in the near future …
Extracting interrelated information from road-related social media data
The social media data (SMD) have been viewed as a potential and promising information
source of road conditions. However, most existing SMD-based sensing approaches …
source of road conditions. However, most existing SMD-based sensing approaches …
Differential augmentation data for vehicle classification using convolutional neural network
Computer vision is an area of machine learning that enables computers and systems to take
actions and make recommendations based on information from digital images, videos, and …
actions and make recommendations based on information from digital images, videos, and …
Traffic assignment optimization to improve urban air quality with the unified finite-volume physics-informed neural network
Emissions by road transportation constitute the major contributor of air pollutants to threat
the public health, especially on mega cities with high-rise buildings and growing population …
the public health, especially on mega cities with high-rise buildings and growing population …
Analysis and visualization of data obtained from camera mounted on unmanned aerial vehicle used in areas of urban transport
A Kujawski, T Dudek - Sustainable Cities and Society, 2021 - Elsevier
Nowadays, it is practically impossible to find a public place, where a person or object would
not be under constant camera observation (mainly used to monitor traffic and to increase …
not be under constant camera observation (mainly used to monitor traffic and to increase …
[HTML][HTML] Vision-based investigation of road traffic and violations at urban roundabout in India using UAV video: a case study
In the past decade, the number of vehicles in India has increased exponentially; however,
road infrastructure has not scaled proportionately. As a result, road traffic problems such as …
road infrastructure has not scaled proportionately. As a result, road traffic problems such as …
[HTML][HTML] Can turbo-roundabouts and restricted crossing U-Turn be effective solutions for urban three-leg intersections?
P Fernandes, MC Coelho - Sustainable Cities and Society, 2023 - Elsevier
This research explored the potential of replacing conventional single-lane roundabouts by
turbo-roundabouts and yield-and stop-controlled restricted crossing U-Turn (RCUT) at …
turbo-roundabouts and yield-and stop-controlled restricted crossing U-Turn (RCUT) at …
Traffic Co-Simulation Framework Empowered by Infrastructure Camera Sensing and Reinforcement Learning
Traffic simulations are commonly used to optimize traffic flow, with reinforcement learning
(RL) showing promising potential for automated traffic signal control. Multi-agent …
(RL) showing promising potential for automated traffic signal control. Multi-agent …
Computer vision based intelligent traffic management system
K Darwhekar, A Patil, S Ghodke… - 2022 6th …, 2022 - ieeexplore.ieee.org
The traffic monitoring system has become an important part of a smart city. With the increase
in traffic, conventional systems are not capable of managing traffic in densely populated …
in traffic, conventional systems are not capable of managing traffic in densely populated …