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

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Showing 1–10 of 375 papers

TitleStatusHype
Federated Learning with Graph-Based Aggregation for Traffic Forecasting—0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies—0
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction—0
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated LearningCode0
PPTNet: A Hybrid Periodic Pattern-Transformer Architecture for Traffic Flow Prediction and Congestion IdentificationCode0
HQSI: Hybrid Quantum Swarm Intelligence -- A Case Study of Online Certificate Status Protocol Request Flow Prediction—0
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism—0
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring—0
DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting—0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework—0
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All datasetsMETR-LAPeMS07PEMS-BAYPeMS08PeMSD4PeMSD8PeMS04EXPY-TKYPeMSD7PeMSD7(M)LargeSTNE-BJ

Benchmark Results

#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