Traffic Prediction Papers

• 10,000+ Times Accelerated Robust Subset Selection (ARSS)
• A Review of Network Traffic Analysis and Prediction Techniques
• The Learning and Prediction of Application-level Traffic Data in Cellular Networks
• Ranking in evolving complex networks
• Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks
• Traffic Prediction Based on Random Connectivity in Deep Learning with Long Short-Term Memory
• Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks
• Application of Bounded Total Variation Denoising in Urban Traffic Analysis
• Towards Fine Grained Network Flow Prediction
• Travel Speed Prediction with a Hierarchical Convolutional Neural Network and Long Short-Term Memory Model Framework
• Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction
• Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network
• Dynamic Spatio-temporal Graph-based CNNs for Traffic Flow Prediction
• Multi-output Gaussian processes for crowdsourced traffic data imputation
• Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification
• Structural Recurrent Neural Network for Traffic Speed Prediction
• Short-term Road Traffic Prediction based on Deep Cluster at Large-scale Networks
• 3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting
• Graph Neural Networks for Modelling Traffic Participant Interaction
• ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling
• Position-Aware Convolutional Networks for Traffic Prediction
• Spatio-Temporal Deep Graph Infomax
• Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization
• Forecasting Wireless Traffic Demand with Extreme Values using Feature Embedding in Gaussian Processes
• Revisiting Flow Information for Traffic Prediction
• Cellular Traffic Prediction and Classification: a comparative evaluation of LSTM and ARIMA
• User Traffic Prediction for Proactive Resource Management: Learning-Powered Approaches
• Traffic Flow Combination Forecasting Method Based on Improved LSTM and ARIMA
• Regularized Deep Networks in Intelligent Transportation Systems: A Taxonomy and a Case Study
• VLUC: An Empirical Benchmark for Video-Like Urban Computing on Citywide Crowd and Traffic Prediction
• Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
• Deep Learning to Scale up Time Series Traffic Prediction
• Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
• Spatial-Temporal Transformer Networks for Traffic Flow Forecasting
• DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction
• Machine Learning for Predictive Deployment of UAVs with Multiple Access
• Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach
• A Comprehensive Survey on Traffic Prediction
• An Effective Dynamic Spatio-temporal Framework with Multi-Source Information for Traffic Prediction
• Stacked Bidirectional and Unidirectional LSTM Recurrent Neural Network for Forecasting Network-wide Traffic State with Missing Values
• Learning to Recommend Signal Plans Under Incidents With Real-time Traffic Prediction
• Spatial-Temporal Dynamic Graph Attention Networks for Ride-hailing Demand Prediction
• Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data
• Revisiting the Modifiable Areal Unit Problem in Deep Traffic Prediction with Visual Analytics
• Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras
• Short-term Traffic Prediction with Deep Neural Networks: A Survey
• Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services
• Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework
• From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data
• Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting
• AST-GCN: Attribute-Augmented Spatiotemporal Graph Convolutional Network for Traffic Forecasting
• Traffic4cast 2020 Graph Ensemble Net and the Importance of Feature and Loss Function Design for Traffic Prediction
• Uncertainty Intervals for Graph-based Spatio-Temporal Traffic Prediction
• Spatio-Temporal Graph Structure Learning for Traffic Forecasting
• Automatically Inferring Data Quality for Spatiotemporal Forecasting
• Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression