[HTML][HTML] 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 …

A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways

H Dou, Y Liu, S Chen, H Zhao, H Bilal - Soft Computing, 2023 - Springer
Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …

[HTML][HTML] 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 …

[HTML][HTML] Optimizing traffic flow in smart cities: Soft GRU-based recurrent neural networks for enhanced congestion prediction using deep learning

SM Abdullah, M Periyasamy, NA Kamaludeen… - Sustainability, 2023 - mdpi.com
Recently, different techniques have been applied to detect, predict, and reduce traffic
congestion to improve the quality of transportation system services. Deep learning (DL) is …

An improved dynamic Chebyshev graph convolution network for traffic flow prediction with spatial-temporal attention

L Liao, Z Hu, Y Zheng, S Bi, F Zou, H Qiu, M Zhang - Applied Intelligence, 2022 - Springer
Accurate traffic flow prediction plays a significant role in urban traffic management, including
traffic congestion control and public travel route planning. Recently, several approaches …

Unsupervised anomaly detection based method of risk evaluation for road traffic accident

C Zhao, X Chang, T Xie, H Fujita, J Wu - Applied Intelligence, 2023 - Springer
Elevated road plays a very important role as corridors in urban traffic network, and the
occurrence of traffic accidents often causes a great impact. In that sense, we propose a …

[HTML][HTML] STTF: An efficient transformer model for traffic congestion prediction

X Wang, R Zeng, F Zou, L Liao, F Huang - International Journal of …, 2023 - Springer
With the rapid development of economy, the sharp increase in the number of urban cars and
the backwardness of urban road construction lead to serious traffic congestion of urban …

[HTML][HTML] Study on identification and prevention of traffic congestion zones considering resilience-vulnerability of urban transportation systems

X Zhao, L Hu, X Wang, J Wu - Sustainability, 2022 - mdpi.com
In order to solve the problem of urban short-term traffic congestion and temporal and spatial
heterogeneity, it is important to scientifically delineate urban traffic congestion response …

Traffic Safety Oriented Multi‐Intersection Flow Prediction Based on Transformer and CNN

T Fu, Q Yu, H Lao, P Liu, S Wan - Security and Communication …, 2023 - Wiley Online Library
Intelligent traffic signal control is one of the important means to ensure traffic safety. Effective
signal control can make traffic flow fast and smooth, which first needs current and future …

Blockchain-enabled online traffic congestion duration prediction in cognitive internet of vehicles

H Chang, Y Liu, Z Sheng - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
The real-time intelligent perception and prediction of traffic situation can assist connected
automated vehicles (CAVs) in path planning and reduce traffic congestion in Cognitive …