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 110 of 375 papers

TitleStatusHype
Federated Learning with Graph-Based Aggregation for Traffic Forecasting0
Beyond Attention: Learning Spatio-Temporal Dynamics with Emergent Interpretable Topologies0
MetaSTNet: Multimodal Meta-learning for Cellular Traffic Conformal Prediction0
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 Prediction0
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism0
STEI-PCN: an efficient pure convolutional network for traffic prediction via spatial-temporal encoding and inferring0
DG-STMTL: A Novel Graph Convolutional Network for Multi-Task Spatio-Temporal Traffic Forecasting0
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1LightCTSFLOPs(M)70Unverified
2DDGCRNMAE@1h14.4Unverified
3CorrSTNMAE@1h14.27Unverified
4PDG2SeqMAE@1h13.6Unverified
5FasterSTSMAE@1h13.6Unverified
6PDFormerMAE@1h13.58Unverified
7PM-DMNet(P)MAE@1h13.55Unverified
8Cy2MixerMAE@1h13.53Unverified
9STAEformerMAE@1h13.46Unverified
10STWaveMAE@1h13.42Unverified