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Dts-Adapstnet: An Adaptive Spatiotemporal Neural Networks for Traffic Prediction with Mulit-Graph Fusion

https://doi.org/10.2139/ssrn.4750367
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TaxiBJ21 : An open crowd flow dataset based on Beijing taxi GPS trajectories
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The Prediction of Traffic Flow with Regression Analysis
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Bayesian combined neural network for traffic volume short-term forecasting at adjacent intersections
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Transformer-enhanced periodic temporal convolution network for long short-term traffic flow forecasting
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Monte Carlo simulation-based traffic speed forecasting using historical big data
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Vehicular traffic flow prediction using deployed traffic counters in a city
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Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting
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Urban big data fusion based on deep learning: An overview
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Adaptive Spatio-temporal Graph Neural Network for traffic forecasting
inferredcites →https://doi.org/10.1016/j.neucom.2020.03.031openalex-extracted
LSTM variants meet graph neural networks for road speed prediction
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On-line distributed prediction of traffic flow in a large-scale road network
inferredcites →https://doi.org/10.1016/j.simpat.2018.04.006openalex-extracted
Calibration and validation of a simulation-based dynamic traffic assignment model for a large-scale congested network
inferredcites →https://doi.org/10.1016/j.simpat.2019.102025openalex-extracted
Short-term traffic flow prediction based on faded memory Kalman Filter fusing data from connected vehicles and Bluetooth sensors
inferredcites →https://doi.org/10.1016/j.simpat.2022.102658openalex-extracted
A simulation model to reduce the fuel consumption through efficient road traffic modelling
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Predicting traffic flow using Bayesian networks
inferredcites →https://doi.org/10.1016/j.trc.2021.103466openalex-extracted
DDP-GCN: Multi-graph convolutional network for spatiotemporal traffic forecasting
inferredcites →https://doi.org/10.1016/j.trc.2022.103659openalex-extracted
AdapGL: An adaptive graph learning algorithm for traffic prediction based on spatiotemporal neural networks
inferredcites →https://doi.org/10.1016/s0167-8655(00)00078-7openalex-extracted
Road sign classification using Laplace kernel classifier
inferredcites →https://doi.org/10.1049/iet-its.2016.0263openalex-extracted
Short‐term traffic forecasting using self‐adjusting k‐nearest neighbours
inferredcites →https://doi.org/10.1080/01441647.2018.1442887openalex-extracted
Spatiotemporal traffic forecasting: review and proposed directions
inferredcites →https://doi.org/10.1109/iscid.2017.216openalex-extracted
Prediction of Road Traffic Congestion Based on Random Forest
inferredcites →https://doi.org/10.1109/itsc.2017.8317913openalex-extracted
An LSTM network for highway trajectory prediction
inferredcites →https://doi.org/10.1109/iwcmc.2019.8766698openalex-extracted
Forecasting Traffic Congestion Using ARIMA Modeling
inferredcites →https://doi.org/10.1109/mits.2018.2806634openalex-extracted
Road Traffic Forecasting: Recent Advances and New Challenges
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The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains
inferredcites →https://doi.org/10.1109/tits.2019.2935152openalex-extracted
T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction
inferredcites →https://doi.org/10.1109/tits.2022.3148105openalex-extracted
Hierarchical Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network
inferredcites →https://doi.org/10.1109/tkde.2020.3008774openalex-extracted
Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks
inferredcites →https://doi.org/10.1145/2939672.2939754openalex-extracted
node2vec
inferredcites →https://doi.org/10.1145/3292500.3330877openalex-extracted
Origin-Destination Matrix Prediction via Graph Convolution
inferredcites →https://doi.org/10.1145/3394486.3403118openalex-extracted
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks
inferredcites →https://doi.org/10.1177/0361198120980432openalex-extracted
Support Vector Machine for Short-Term Traffic Flow Prediction and Improvement of Its Model Training using Nearest Neighbor Approach
inferredcites →https://doi.org/10.1609/aaai.v33i01.33013656openalex-extracted
Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301890openalex-extracted
Dynamic Spatial-Temporal Graph Convolutional Neural Networks for Traffic Forecasting
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301922openalex-extracted
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting
inferredcites →https://doi.org/10.1609/aaai.v35i5.16542openalex-extracted
Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting
inferredcites →https://doi.org/10.21595/jve.2022.22271openalex-extracted
A convolutional neural network method based on Adam optimizer with power-exponential learning rate for bearing fault diagnosis
inferredcites →https://doi.org/10.24963/ijcai.2018/482openalex-extracted
LC-RNN: A Deep Learning Model for Traffic Speed Prediction
inferredcites →https://doi.org/10.24963/ijcai.2018/505openalex-extracted
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting
inferredcites →https://doi.org/10.24963/ijcai.2019/264openalex-extracted
Graph WaveNet for Deep Spatial-Temporal Graph Modeling
inferredcites →https://doi.org/10.3390/asi5010023openalex-extracted
Big Data for Traffic Estimation and Prediction: A Survey of Data and Tools
inferredcites →https://doi.org/10.3390/ijgi12030100openalex-extracted
Graph Neural Network for Traffic Forecasting: The Research Progress
inferredcites →https://doi.org/10.3390/s17071501openalex-extracted
Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
inferredcites →https://doi.org/10.4230/lipics.ecoop.2025.6openalex-extracted
Detecting Functionality-Specific Vulnerabilities via Retrieving Individual Functionality-Equivalent APIs in Open-Source Repositories
inferredcites →https://doi.org/10.48550/arxiv.1707.01926openalex-extracted
Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting
inferredcites →https://doi.org/10.48550/arxiv.1903.05631openalex-extracted
ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
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