Papers with Code · CC BY-SA 4.0

Traffic Prediction

196 평가 기록 35 datasets

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.

<span style="color:grey; opacity: 0.6">( Image credit: BaiduTraffic )</span>

논문

Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

2012.09641 2020-12-15 이 페이지의 평가 4건

MAE@1h: 22.07

Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

2020-04-03 이 페이지의 평가 4건

MAE@1h: 24.26

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

2007.02842 2020-07-06 이 페이지의 평가 3건

MAE @ in: 12.13MAE @ out: 9.87MAPE (%) @ in: 18.78MAPE (%) @ out: 18.41

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

2212.04475 2022-12-07 이 페이지의 평가 3건

MAE @ in: 11.99MAE @ out: 9.78MAPE (%) @ in: 16.38MAPE (%) @ out: 16.86

Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

1709.04875 2017-09-14 이 페이지의 평가 2건

MAE@1h: 25.38

ST-UNet: A Spatio-Temporal U-Network for Graph-structured Time Series Modeling

1903.05631 2019-03-13 이 페이지의 평가 2건

MAE (60 min): 3.38

3D Graph Convolutional Networks with Temporal Graphs: A Spatial Information Free Framework For Traffic Forecasting

1903.00919 2019-03-03 이 페이지의 평가 1건

MAE (60 min): 3.65

A Correlation Information-based Spatiotemporal Network for Traffic Flow Forecasting

2205.10365 2022-05-20 이 페이지의 평가 1건

MAE@1h: 17.26

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

2019-01-20 이 페이지의 평가 1건

MAE@1h: 28.05

Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach

2312.03406 2023-12-06 이 페이지의 평가 1건

MAE @ in: 14.64

Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities

2202.03630 2022-02-08 이 페이지의 평가 1건

MAE: 15.26RMSE: 22.7MAPE: 9.64

MemDA: Forecasting Urban Time Series with Memory-based Drift Adaptation

2309.14216 2023-09-25 이 페이지의 평가 1건

MAE: 3.192

Online Test-Time Adaptation of Spatial-Temporal Traffic Flow Forecasting

2401.04148 2024-01-08 이 페이지의 평가 1건

MAE @ in: 16.987MAE @ out: 14.595

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction

2301.07945 2023-01-19 이 페이지의 평가 1건

MAE@1h: 19.83

Sequence to Sequence Learning with Neural Networks

1409.3215 2014-09-10 이 페이지의 평가 1건

MAE (60 min): 4.16

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

2106.12931 2021-06-24 이 페이지의 평가 1건

MAE@1h: 22.99

Structured Time Series Prediction without Structural Prior

2202.03539 2022-02-07 이 페이지의 평가 1건

MAE@1h: 21.62

When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks

2023-07-26 이 페이지의 평가 1건

MAE@1h: 19.94