Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges

A Miglani, N Kumar - Vehicular Communications, 2019 - Elsevier
In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

A performance modeling and analysis of a novel vehicular traffic flow prediction system using a hybrid machine learning-based model

A Boukerche, J Wang - Ad Hoc Networks, 2020 - Elsevier
Traffic prediction on the road, as a vital part of the Intelligent Transportation System (ITS) has
attracted much attention recently. It is always one of the hot topics about how to implement …

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 …

Traffic prediction for intelligent transportation system using machine learning

G Meena, D Sharma, M Mahrishi - 2020 3rd International …, 2020 - ieeexplore.ieee.org
This paper aims to develop a tool for predicting accurate and timely traffic flow Information.
Traffic Environment involves everything that can affect the traffic flowing on the road, whether …

Deep learning on traffic prediction: Methods, analysis, and future directions

X Yin, G Wu, J Wei, Y Shen, H Qi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Traffic prediction plays an essential role in intelligent transportation system. Accurate traffic
prediction can assist route planing, guide vehicle dispatching, and mitigate traffic …

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 …

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 …

Deep and embedded learning approach for traffic flow prediction in urban informatics

Z Zheng, Y Yang, J Liu, HN Dai… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Traffic flow prediction has received extensive attention recently, since it is a key step to
prevent and mitigate traffic congestion in urban areas. However, most previous studies on …

Deep learning for road traffic forecasting: Does it make a difference?

EL Manibardo, I Laña, J Del Ser - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Deep Learning methods have been proven to be flexible to model complex phenomena.
This has also been the case of Intelligent Transportation Systems, in which several areas …