Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities
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 …
critical problem globally, resulting in negative consequences such as lost hours of additional …
Review of data fusion methods for real-time and multi-sensor traffic flow analysis
SA Kashinath, SA Mostafa, A Mustapha… - IEEE …, 2021 - ieeexplore.ieee.org
Recently, development in intelligent transportation systems (ITS) requires the input of
various kinds of data in real-time and from multiple sources, which imposes additional …
various kinds of data in real-time and from multiple sources, which imposes additional …
[HTML][HTML] Smart transportation planning: Data, models, and algorithms
Z Karami, R Kashef - Transportation Engineering, 2020 - Elsevier
By developing cities and increasing population, smart transportation becomes an essential
component of modern societies. Extensive research activities using machine learning …
component of modern societies. Extensive research activities using machine learning …
Hybrid deep learning models for traffic prediction in large-scale road networks
Traffic prediction is an important component in Intelligent Transportation Systems (ITSs) for
enabling advanced transportation management and services to address worsening traffic …
enabling advanced transportation management and services to address worsening traffic …
Iktishaf+: a big data tool with automatic labeling for road traffic social sensing and event detection using distributed machine learning
Digital societies could be characterized by their increasing desire to express themselves
and interact with others. This is being realized through digital platforms such as social media …
and interact with others. This is being realized through digital platforms such as social media …
Iktishaf: A big data road-traffic event detection tool using Twitter and spark machine learning
Road transportation is the backbone of modern economies despite costing annually millions
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …
of human deaths and injuries and trillions of dollars. Twitter is a powerful information source …
Deep learning and machine learning for Malaria detection: overview, challenges and future directions
To have the greatest impact, public health initiatives must be made using evidence-based
decision-making. Machine learning Algorithms are created to gather, store, process, and …
decision-making. Machine learning Algorithms are created to gather, store, process, and …
Short-term prediction of city traffic flow via convolutional deep learning
Nowadays, traffic management and sustainable mobility are central topics for intelligent
transportation systems (ITS). Thanks to new technologies, it is possible to collect real-time …
transportation systems (ITS). Thanks to new technologies, it is possible to collect real-time …
Machine learning algorithm for delay prediction in iot and tactile internet
AR Abdellah, OA Mahmood, R Kirichek, A Paramonov… - Future Internet, 2021 - mdpi.com
The next-generation cellular systems, including fifth-generation cellular systems (5G), are
empowered with the recent advances in artificial intelligence (AI) and other recent …
empowered with the recent advances in artificial intelligence (AI) and other recent …
TAAWUN: A decision fusion and feature specific road detection approach for connected autonomous vehicles
Road transportation is among the global grand challenges affecting human lives, health,
society, and economy, caused due to road accidents, traffic congestion, and other …
society, and economy, caused due to road accidents, traffic congestion, and other …