Graph neural network for traffic forecasting: A survey
Traffic forecasting is important for the success of intelligent transportation systems. Deep
learning models, including convolution neural networks and recurrent neural networks, have …
learning models, including convolution neural networks and recurrent neural networks, have …
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 …
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 …
attention in recent years. Thanks to the fast development of vehicular computing hardware …
Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks
For intelligent transportation systems (ITS), predicting urban traffic crowd flows is of great
importance. However, it is challenging to represent various complex spatial relationships …
importance. However, it is challenging to represent various complex spatial relationships …
Traffic flow prediction for smart traffic lights using machine learning algorithms
A Navarro-Espinoza, OR López-Bonilla… - Technologies, 2022 - mdpi.com
Nowadays, many cities have problems with traffic congestion at certain peak hours, which
produces more pollution, noise and stress for citizens. Neural networks (NN) and machine …
produces more pollution, noise and stress for citizens. Neural networks (NN) and machine …
A hybrid optimization with ensemble learning to ensure VANET network stability based on performance analysis
GPK Marwah, A Jain - Scientific Reports, 2022 - nature.com
High vehicle mobility, changing vehicle density and dynamic inter-vehicle spacing are all
important issues in the VANET environment. As a result, a better routing protocol improves …
important issues in the VANET environment. As a result, a better routing protocol improves …
Machine learning applications in surface transportation systems: A literature review
Surface transportation has evolved through technology advancements using parallel
knowledge areas such as machine learning (ML). However, the transportation industry has …
knowledge areas such as machine learning (ML). However, the transportation industry has …
A novel multimodal vehicle path prediction method based on temporal convolutional networks
MN Azadani, A Boukerche - IEEE Transactions on Intelligent …, 2022 - ieeexplore.ieee.org
Accurate and reliable prediction of future motions of the nearby agents and effective
environment understanding will contribute to high-quality and meticulous path planning for …
environment understanding will contribute to high-quality and meticulous path planning for …
A fast Pearson graph convolutional network combined with electronic nose to identify the origin of rice
Y Shi, M Liu, A Sun, J Liu, H Men - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
The quality of rice produced in different origins is different, and the gas reflects the external
sensory information of rice. Based on the electronic nose (e-nose) instrument, the gas …
sensory information of rice. Based on the electronic nose (e-nose) instrument, the gas …
A vehicle-consensus information exchange scheme for traffic management in vehicular ad-hoc networks
J Gao, G Manogaran, TN Nguyen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Vehicular Ad-Hoc Networks (VANETs) provide roadside communication for improving the
ease of driving user information exchange. It interconnects hierarchical infrastructure units …
ease of driving user information exchange. It interconnects hierarchical infrastructure units …