SOTAVerified

Traffic Prediction

Traffic Prediction is a task that involves forecasting traffic conditions, such as the volume of vehicles and travel time, in a specific area or along a particular road. This task is important for optimizing transportation systems and reducing traffic congestion.

( Image credit: BaiduTraffic )

Papers

Showing 251–300 of 375 papers

TitleStatusHype
Bayesian Graph Convolutional Network for Traffic Prediction—0
Bayesian Spatio-Temporal Graph Convolutional Network for Traffic Forecasting—0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
BiDepth Multimodal Neural Network: Bidirectional Depth Deep Learning Architecture for Spatial-Temporal Prediction—0
BuildSenSys: Reusing Building Sensing Data for Traffic Prediction with Cross-domain Learning—0
Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks—0
Causally-Aware Spatio-Temporal Multi-Graph Convolution Network for Accurate and Reliable Traffic Prediction—0
Cellular Traffic Prediction Using Online Prediction Algorithms—0
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction—0
Data Mining in Transportation Networks with Graph Neural Networks: A Review and Outlook—0
Energy-Guided Data Sampling for Traffic Prediction with Mini Training Datasets—0
On model selection for scalable time series forecasting in transport networks—0
Deep Sequence Modeling for Anomalous ISP Traffic Prediction—0
DEK-Forecaster: A Novel Deep Learning Model Integrated with EMD-KNN for Traffic Prediction—0
Demystifying Deep Learning in Predictive Spatio-Temporal Analytics: An Information-Theoretic Framework—0
Deploying scalable traffic prediction models for efficient management in real-world large transportation networks during hurricane evacuations—0
DetectorNet: Transformer-enhanced Spatial Temporal Graph Neural Network for Traffic Prediction—0
DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting—0
Divide-and-Conquer Strategy for Large-Scale Dynamic Bayesian Network Structure Learning—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
Dynamic Spatio-temporal Graph-based CNNs for Traffic Prediction—0
Edge-Level Explanations for Graph Neural Networks by Extending Explainability Methods for Convolutional Neural Networks—0
Effective and Efficient Cross-City Traffic Knowledge Transfer: A Privacy-Preserving Perspective—0
Efficient Metropolitan Traffic Prediction Based on Graph Recurrent Neural Network—0
Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction—0
Efficient Traffic State Forecasting using Spatio-Temporal Network Dependencies: A Sparse Graph Neural Network Approach—0
Energy and Resource Efficiency by User Traffic Prediction and Classification in Cellular Networks—0
Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long-Short Term Memory Prediction—0
Enhancing Peak Network Traffic Prediction via Time-Series Decomposition—0
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism—0
Enhancing Traffic Prediction with Learnable Filter Module—0
Enhancing Traffic Prediction with Textual Data Using Large Language Models—0
Estimating time of arrival of vehicle fleets with GCN based traffic prediction—0
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks—0
Federated Contrastive Learning of Graph-Level Representations—0
Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation—0
Federated Learning with Graph-Based Aggregation for Traffic Forecasting—0
FLEXIBLE: Forecasting Cellular Traffic by Leveraging Explicit Inductive Graph-Based Learning—0
Forecasting Mobile Traffic with Spatiotemporal correlation using Deep Regression—0
Forecasting Wireless Demand with Extreme Values using Feature Embedding in Gaussian Processes—0
From Twitter to Traffic Predictor: Next-Day Morning Traffic Prediction Using Social Media Data—0
FRTP: Federating Route Search Records to Enhance Long-term Traffic Prediction—0
GC-GRU-N for Traffic Prediction using Loop Detector Data—0
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction—0
Global Spatio-Temporal Fusion-based Traffic Prediction Algorithm with Anomaly Aware—0
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration—0
Graph Neural Networks for Modelling Traffic Participant Interaction—0
Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning for Traffic Prediction—0
GridTuner: Reinvestigate Grid Size Selection for Spatiotemporal Prediction Models [Technical Report]—0
GT-CausIn: a novel causal-based insight for traffic prediction—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1STGCNMAE @ 12 step4.45—Unverified
2DCRNNMAE @ 12 step3.6—Unverified
3ST-UNetMAE @ 12 step3.55—Unverified
4Graph WaveNetMAE @ 12 step3.53—Unverified
5GWNET-CovMAE @ 12 step3.5—Unverified
6DCGCNMAE @ 12 step3.48—Unverified
7Finetune from t1-6 checkpointMAE @ 12 step3.47—Unverified
8STAWnetMAE @ 12 step3.44—Unverified
9ADNMAE @ 12 step3.42—Unverified
10STD-MAEMAE @ 12 step3.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ASTGCNMAE@1h28.05—Unverified
2STGCNMAE@1h25.38—Unverified
3STSGCNMAE@1h24.26—Unverified
4STGODEMAE@1h22.99—Unverified
5STFGNNMAE@1h22.07—Unverified
6ADNMAE@1h21.62—Unverified
7STWaveMAE@1h19.94—Unverified
8PDFormerMAE@1h19.83—Unverified
9DDGCRNMAE@1h19.79—Unverified
10CorrSTNMAE@1h19.62—Unverified
#ModelMetricClaimedVerifiedStatus
1STBayesianRMSE 4.44—Unverified
2DCRNNMAE @ 12 step2.07—Unverified
3SLCNNMAE @ 12 step2.03—Unverified
4Graph Wave-NetMAE @ 12 step1.95—Unverified
5GMANMAE @ 12 step1.92—Unverified
6STAEformerMAE @ 12 step1.91—Unverified
7GWNET-CovMAE @ 12 step1.91—Unverified
8STAWnetMAE @ 12 step1.89—Unverified
9MegaCRNMAE @ 12 step1.88—Unverified
10RGDANMAE @ 12 step1.86—Unverified
#ModelMetricClaimedVerifiedStatus
1LightCTSFLOPs(M)70—Unverified
2DDGCRNMAE@1h14.4—Unverified
3CorrSTNMAE@1h14.27—Unverified
4PDG2SeqMAE@1h13.6—Unverified
5FasterSTSMAE@1h13.6—Unverified
6PDFormerMAE@1h13.58—Unverified
7PM-DMNet(P)MAE@1h13.55—Unverified
8Cy2MixerMAE@1h13.53—Unverified
9STAEformerMAE@1h13.46—Unverified
10STWaveMAE@1h13.42—Unverified
#ModelMetricClaimedVerifiedStatus
1STG-NCDE12 steps MAE19.21—Unverified
2STG-NRDE12 steps MAE19.13—Unverified
3HAGCN12 steps MAE18.7—Unverified
4STWave12 steps MAE18.5—Unverified
5FasterSTS12 steps MAE18.49—Unverified
6DDGCRN12 steps MAE18.45—Unverified
7PM-DMNet(R)12 steps MAE18.37—Unverified
8PM-DMNet(P)12 steps MAE18.34—Unverified
9PDFormer12 steps MAE18.32—Unverified
10PDG2Seq12 steps MAE18.24—Unverified
#ModelMetricClaimedVerifiedStatus
1STG-NCDE12 steps MAE15.45—Unverified
2STG-NRDE12 steps MAE15.32—Unverified
3HAGCN12 steps MAE14.85—Unverified
4DDGCRN12 steps MAE14.4—Unverified
5PDG2Seq12 steps MAE13.6—Unverified
6FasterSTS12 steps MAE13.6—Unverified
7PDFormer12 steps MAE13.58—Unverified
8PM-DMNet(P)12 steps MAE13.55—Unverified
9STD-MAE12 steps MAE13.44—Unverified
10STWave12 steps MAE13.42—Unverified
#ModelMetricClaimedVerifiedStatus
1LightCTSFLOPs(M)147—Unverified
2AGCRN12 Steps MAE19.83—Unverified
3IDCN12 Steps MAE19.33—Unverified
4FasterSTS12 Steps MAE18.49—Unverified
5DDGCRN12 Steps MAE18.45—Unverified
6PDFormer12 Steps MAE18.32—Unverified
7PDG2Seq12 Steps MAE18.24—Unverified
8STAEformer12 Steps MAE18.22—Unverified
9Cy2Mixer12 Steps MAE18.14—Unverified
10DTRformer12 Steps MAE18—Unverified
#ModelMetricClaimedVerifiedStatus
1StemGNN1 step MAE6.08—Unverified
2DCRNN1 step MAE6.04—Unverified
3AGCRN1 step MAE5.99—Unverified
4PM-MemNet1 step MAE5.94—Unverified
5GWNet1 step MAE5.91—Unverified
6MTGNN1 step MAE5.86—Unverified
7MegaCRN1 step MAE5.81—Unverified
8STD-MAE1 step MAE5.73—Unverified
#ModelMetricClaimedVerifiedStatus
1STG-NCDE12 steps MAE20.53—Unverified
2STG-NRDE12 steps MAE20.45—Unverified
3PDFormer12 steps MAE19.83—Unverified
4DDGCRN12 steps MAE19.79—Unverified
5PM-DMNet(P)12 steps MAE19.35—Unverified
6PM-DMNet(R)12 steps MAE19.18—Unverified
7STAEformer12 steps MAE19.14—Unverified
8STD-MAE12 steps MAE18.31—Unverified
#ModelMetricClaimedVerifiedStatus
1STGM12 steps MAE3—Unverified
2STG-NCDE12 steps MAE2.68—Unverified
3STG-NRDE12 steps MAE2.66—Unverified
4PM-DMNet(P)12 steps MAE2.61—Unverified
5PM-DMNet(R)12 steps MAE2.6—Unverified
6DDGCRN12 steps MAE2.59—Unverified
7STD-MAE12 steps MAE2.52—Unverified
#ModelMetricClaimedVerifiedStatus
1RPMixerSD MAE25.25—Unverified
2STGODESD MAE19.55—Unverified
3STWaveSD MAE18.22—Unverified
4STIDSD MAE17.86—Unverified
5GWNETSD MAE17.74—Unverified
6PatchSTGSD MAE16.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Graph WaveNet12 steps MAE4.99—Unverified
2AGCRN12 steps MAE4.99—Unverified
3MTGNN12 steps MAE4.9—Unverified
4GMAN12 steps MAE4.8—Unverified
5DGCRN12 steps MAE4.79—Unverified
6RGDAN12 steps MAE4.68—Unverified
#ModelMetricClaimedVerifiedStatus
1STG-NCDE12 steps MAE15.57—Unverified
2STG-NRDE12 steps MAE15.5—Unverified
3STWave12 steps MAE14.93—Unverified
4DDGCRN12 steps MAE14.63—Unverified
5PDG2Seq12 steps MAE14.62—Unverified
6STD-MAE12 steps MAE13.8—Unverified
#ModelMetricClaimedVerifiedStatus
1STG-NCDE12 steps MAE2.87—Unverified
2STG-NRDE12 steps MAE2.85—Unverified
3PM-DMNet(P)12 steps MAE2.81—Unverified
4DDGCRN12 steps MAE2.79—Unverified
5PM-DMNet(R)12 steps MAE2.79—Unverified
6STD-MAE12 steps MAE2.64—Unverified
#ModelMetricClaimedVerifiedStatus
1SimVP+SVQ (Learnable)MAE @ in14.64—Unverified
2STFGNNMAE @ in13.83—Unverified
3STSGCNMAE @ in12.72—Unverified
4AGCRNMAE @ in12.3—Unverified
5ST-SSLMAE @ in11.31—Unverified
#ModelMetricClaimedVerifiedStatus
1ADCSDMAE @ in16.99—Unverified
2STFGNNMAE @ in16.25—Unverified
3STSGCNMAE @ in13.69—Unverified
4AGCRNMAE @ in12.13—Unverified
5ST-SSLMAE @ in11.99—Unverified
#ModelMetricClaimedVerifiedStatus
1T-UNetMAE (60 min)7.04—Unverified
2FC-LSTMMAE (60 min)4.16—Unverified
3STGCNMAE (60 min)4.02—Unverified
43D-TGCNMAE (60 min)3.65—Unverified
5ST-UNetMAE (60 min)3.38—Unverified
#ModelMetricClaimedVerifiedStatus
1T-GCNMAE @ 15min2.71—Unverified
2GRUMAE @ 15min2.68—Unverified
3MHAST-GCNMAE @ 15min2.66—Unverified
4BSTGCNMAE @ 15min2.65—Unverified
5factorized ST-TGCNMAE @ 15min2.02—Unverified
#ModelMetricClaimedVerifiedStatus
1STFGNNMAE @ in6.53—Unverified
2STSGCNMAE @ in5.81—Unverified
3AGCRNMAE @ in5.17—Unverified
4ST-SSLMAE @ in4.94—Unverified
#ModelMetricClaimedVerifiedStatus
1STFGNNMAE @ in5.8—Unverified
2STSGCNMAE @ in5.25—Unverified
3AGCRNMAE @ in5.18—Unverified
4ST-SSLMAE @ in5.04—Unverified
#ModelMetricClaimedVerifiedStatus
1MemDAMAE3.19—Unverified
#ModelMetricClaimedVerifiedStatus
1CorrSTNMAE@1h11.2—Unverified
#ModelMetricClaimedVerifiedStatus
1CorrSTNMAE@1h17.26—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE19.25—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE20.67—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE22.82—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE20.91—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE22.96—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE26.88—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE15.26—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE16.41—Unverified
#ModelMetricClaimedVerifiedStatus
1DASTNetMAE18.84—Unverified
#ModelMetricClaimedVerifiedStatus
1hybrid Seq2SeqMAPE8.63—Unverified