A review of traffic congestion prediction using artificial intelligence

M Akhtar, S Moridpour - Journal of Advanced Transportation, 2021 - Wiley Online Library
In recent years, traffic congestion prediction has led to a growing research area, especially
of machine learning of artificial intelligence (AI). With the introduction of big data by …

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 …

Artificial intelligence-based traffic flow prediction: a comprehensive review

SA Sayed, Y Abdel-Hamid, HA Hefny - Journal of Electrical Systems and …, 2023 - Springer
The expansion of the Internet of Things has resulted in new creative solutions, such as smart
cities, that have made our lives more productive, convenient, and intelligent. The core of …

A survey on modern deep neural network for traffic prediction: Trends, methods and challenges

DA Tedjopurnomo, Z Bao, B Zheng… - … on Knowledge and …, 2020 - ieeexplore.ieee.org
In this modern era, traffic congestion has become a major source of severe negative
economic and environmental impact for urban areas worldwide. One of the most efficient …

Machine learning approach on traffic congestion monitoring system in internet of vehicles

SJ Kamble, MR Kounte - Procedia computer science, 2020 - Elsevier
Traffic congestion is a major issue in urban cities leading to aggregated traffic. With the
advancement in intelligent internet of vehicles, new technologies and protocols have been …

Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning

NAM Razali, N Shamsaimon, KK Ishak, S Ramli… - Journal of Big Data, 2021 - Springer
The development of the Internet of Things (IoT) has produced new innovative solutions, such
as smart cities, which enable humans to have a more efficient, convenient and smarter way …

Traffic flow prediction models–A review of deep learning techniques

AA Kashyap, S Raviraj, A Devarakonda… - Cogent …, 2022 - Taylor & Francis
Traffic flow prediction is an essential part of the intelligent transport system. This is the
accurate estimation of traffic flow in a given region at a particular interval of time in the future …

Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems

A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …

Machine learning-based traffic prediction models for intelligent transportation systems

A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …

Traffic congestion prediction based on Estimated Time of Arrival

N Zafar, I Ul Haq - PloS one, 2020 - journals.plos.org
With the rapid expansion of sensor technologies and wireless network infrastructure,
research and development of traffic associated applications, such as real-time traffic maps …