T-gcn: A temporal graph convolutional network for traffic prediction
Accurate and real-time traffic forecasting plays an important role in the intelligent traffic
system and is of great significance for urban traffic planning, traffic management, and traffic …
system and is of great significance for urban traffic planning, traffic management, and traffic …
Spatiotemporal traffic flow prediction with KNN and LSTM
X Luo, D Li, Y Yang, S Zhang - Journal of Advanced …, 2019 - Wiley Online Library
The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …
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 …
attention, due to higher demands for road safety and efficiency in highly interconnected road …
Adaptive multi-kernel SVM with spatial–temporal correlation for short-term traffic flow prediction
X Feng, X Ling, H Zheng, Z Chen… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Accurate estimation of the traffic state can help to address the issue of urban traffic
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …
congestion, providing guiding advices for people's travel and traffic regulation. In this paper …
Short‐term traffic speed prediction for an urban corridor
B Yao, C Chen, Q Cao, L Jin, M Zhang… - Computer‐Aided Civil …, 2017 - Wiley Online Library
Short‐term traffic speed prediction is one of the most critical components of an intelligent
transportation system (ITS). The accurate and real‐time prediction of traffic speeds can …
transportation system (ITS). The accurate and real‐time prediction of traffic speeds can …
Spatiotemporal attention-based graph convolution network for segment-level traffic prediction
Traffic prediction, as a core component of intelligent transportation systems (ITS), has been
investigated thoroughly in the literature. Nevertheless, timely accurate traffic prediction still …
investigated thoroughly in the literature. Nevertheless, timely accurate traffic prediction still …
[HTML][HTML] Attention-based Conv-LSTM and Bi-LSTM networks for large-scale traffic speed prediction
X Hu, T Liu, X Hao, C Lin - The Journal of Supercomputing, 2022 - Springer
Timely and accurate traffic speed prediction has gained increasing importance for urban
traffic management and helping one to make advisable travel decision. However, the …
traffic management and helping one to make advisable travel decision. However, the …
Multiple sources and multiple measures based traffic flow prediction using the chaos theory and support vector regression method
This study proposes a multiple sources and multiple measures based traffic flow prediction
algorithm using the chaos theory and support vector regression method. In particular, first …
algorithm using the chaos theory and support vector regression method. In particular, first …
Graph learning-based spatial-temporal graph convolutional neural networks for traffic forecasting
Traffic forecasting is highly challenging due to its complex spatial and temporal
dependencies in the traffic network. Graph Convolutional Neural Network (GCN) has been …
dependencies in the traffic network. Graph Convolutional Neural Network (GCN) has been …
Real-time road traffic state prediction based on ARIMA and Kalman filter
D Xu, Y Wang, L Jia, Y Qin, H Dong - Frontiers of Information Technology …, 2017 - Springer
The realization of road traffic prediction not only provides real-time and effective information
for travelers, but also helps them select the optimal route to reduce travel time. Road traffic …
for travelers, but also helps them select the optimal route to reduce travel time. Road traffic …