Traffic flow prediction: A 3D adaptive multi‐module joint modeling approach integrating spatial‐temporal patterns to capture global features
Z Ul Abideen, X Sun, C Sun - Journal of Forecasting - Wiley Online Library
The challenges in citywide traffic flow are intricate, encompassing various factors like
temporal and spatial dependencies, holidays, and weather. Despite the complexity, there …
temporal and spatial dependencies, holidays, and weather. Despite the complexity, there …
Citywide traffic flow prediction based on multiple gated spatio-temporal convolutional neural networks
Traffic flow prediction is crucial for public safety and traffic management, and remains a big
challenge because of many complicated factors, eg, multiple spatio-temporal dependencies …
challenge because of many complicated factors, eg, multiple spatio-temporal dependencies …
Transformer Based Period Spatial-Temporal Graph Convolutional Network for Traffic Forecasting
J Yin, B Li, Z Zhou - Available at SSRN 4572179 - papers.ssrn.com
Accurately forecasting traffic flow is crucial for the effective operation of intelligent
transportation systems (ITS), as it enables optimal resource allocation and efficient traffic …
transportation systems (ITS), as it enables optimal resource allocation and efficient traffic …
Multi-graph Spatio-temporal Graph Convolutional Network for Traffic Flow Prediction
Inter-city highway transportation is significant for urban life. As one of the key functions in
intelligent transportation system (ITS), traffic evaluation always plays significant role …
intelligent transportation system (ITS), traffic evaluation always plays significant role …
Multi-scale Fusion Dynamic Graph Neural Network For Traffic Flow Prediction
W Weng, Q Chen, Y Dai, J Chen, D Chen - Proceedings of the 2023 2nd …, 2023 - dl.acm.org
As a cornerstone of intelligent transportation systems, traffic flow prediction has garnered
extensive research attention. However, traffic flow data exhibits pronounced spatio-temporal …
extensive research attention. However, traffic flow data exhibits pronounced spatio-temporal …
MF-CNN: traffic flow prediction using convolutional neural network and multi-features fusion
D Yang, S Li, Z Peng, P Wang, J Wang… - … on Information and …, 2019 - search.ieice.org
Accurate traffic flow prediction is the precondition for many applications in Intelligent
Transportation Systems, such as traffic control and route guidance. Traditional data driven …
Transportation Systems, such as traffic control and route guidance. Traditional data driven …
Staf: Convolutional Spatio-Temporal Transformer Architecture Based on Augmented Feature Learning for Traffic Flow Forecasting
AJ Fofanah, D Chen, L Wen, S Zhang - Available at SSRN 4826658 - papers.ssrn.com
Traffic forecasting is pivotal in multivariate time series forecasting, playing a crucial role in
the research of intelligent transportation systems. Despite considerable advancements …
the research of intelligent transportation systems. Despite considerable advancements …
Forecasting traffic flow with spatial–temporal convolutional graph attention networks
X Zhang, Y Xu, Y Shao - Neural Computing and Applications, 2022 - Springer
Traffic flow prediction is crucial for intelligent transportation system, such as traffic
management, congestion alleviation and public risk assessment. Recently, attention …
management, congestion alleviation and public risk assessment. Recently, attention …
Multi-Range Spatial-Temporal Attention Network for Traffic Flow Forecasting
J Chen, J Li - 2024 IEEE 7th Advanced Information Technology …, 2024 - ieeexplore.ieee.org
With the increasing complexity of urban traffic systems and the growing significance of traffic
flow management, accurate traffic flow prediction has emerged as a key challenge in urban …
flow management, accurate traffic flow prediction has emerged as a key challenge in urban …
Multicomponent Spatial‐Temporal Graph Attention Convolution Networks for Traffic Prediction with Spatially Sparse Data
Predicting traffic data on traffic networks is essential to transportation management. It is a
challenging task due to the complicated spatial‐temporal dependency. The latest studies …
challenging task due to the complicated spatial‐temporal dependency. The latest studies …