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 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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Benchmark Results

#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