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 301–350 of 375 papers

TitleStatusHype
HAGCN : Network Decentralization Attention Based Heterogeneity-Aware Spatiotemporal Graph Convolution Network for Traffic Signal Forecasting—0
Heterogeneous Graph Sequence Neural Networks for Dynamic Traffic Assignment—0
Hierarchical Graph Pooling is an Effective Citywide Traffic Condition Prediction Model—0
Highly Dynamic and Flexible Spatio-Temporal Spectrum Management with AI-Driven O-RAN: A Multi-Granularity Marketplace Framework—0
HQSI: Hybrid Quantum Swarm Intelligence -- A Case Study of Online Certificate Status Protocol Request Flow Prediction—0
Hybrid Spatio-Temporal Graph Convolutional Network: Improving Traffic Prediction with Navigation Data—0
Hybrid Transformer and Spatial-Temporal Self-Supervised Learning for Long-term Traffic Prediction—0
IGANI: Iterative Generative Adversarial Networks for Imputation with Application to Traffic Data—0
Improved Performance of BitTorrent Traffic Prediction Using Kalman Filter—0
Improving Traffic Density Forecasting in Intelligent Transportation Systems Using Gated Graph Neural Networks—0
Incorporating Long-term Data in Training Short-term Traffic Prediction Model—0
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction—0
Intelligent Traffic Steering in Beyond 5G Open RAN based on LSTM Traffic Prediction—0
Interaction-aware Traffic Prediction and Scenario-based Model Predictive Control for Autonomous Vehicles on Highways—0
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction—0
Learning spatiotemporal features from incomplete data for traffic flow prediction using hybrid deep neural networks—0
Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction—0
Lens: A Foundation Model for Network Traffic—0
Leveraging Neo4j and deep learning for traffic congestion simulation & optimization—0
LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis—0
LSTM-ACB-Based Random Access for Mixed Traffic IoT Networks—0
Machine Learning for Predictive Deployment of UAVs with Multiple Access—0
Machine Learning in Short-Reach Optical Systems: A Comprehensive Survey—0
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction—0
Meta-SysId: A Meta-Learning Approach for Simultaneous Identification and Prediction—0
Minimalist Traffic Prediction: Linear Layer Is All You Need—0
MLPST: MLP is All You Need for Spatio-Temporal Prediction—0
Mobile Traffic Prediction at the Edge Through Distributed and Deep Transfer Learning—0
Modeling Spatial Nonstationarity via Deformable Convolutions for Deep Traffic Flow Prediction—0
MSCMHMST: A traffic flow prediction model based on Transformer—0
MSCT: Addressing Time-Varying Confounding with Marginal Structural Causal Transformer for Counterfactual Post-Crash Traffic Prediction—0
Multi-agent Traffic Prediction via Denoised Endpoint Distribution—0
Multi-fold Correlation Attention Network for Predicting Traffic Speeds with Heterogeneous Frequency—0
Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction—0
Multi-Output Gaussian Processes for Crowdsourced Traffic Data Imputation—0
Multi-Step Traffic Prediction for Multi-Period Planning in Optical Networks—0
Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies—0
Network Wide Evacuation Traffic Prediction in a Rapidly Intensifying Hurricane from Traffic Detectors and Facebook Movement Data: A Deep Learning Approach—0
Networkwide Traffic State Forecasting Using Exogenous Information: A Multi-Dimensional Graph Attention-Based Approach—0
Newell's theory based feature transformations for spatio-temporal traffic prediction—0
NodeTrans: A Graph Transfer Learning Approach for Traffic Prediction—0
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning—0
NTP-INT: Network Traffic Prediction-Driven In-band Network Telemetry for High-load Switches—0
On Transfer Learning for a Fully Convolutional Deep Neural SIMO Receiver—0
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning—0
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services—0
PGCN: Progressive Graph Convolutional Networks for Spatial-Temporal Traffic Forecasting—0
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction—0
Position-Aware Convolutional Networks for Traffic Prediction—0
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting—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