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Traffic Prediction

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하위 태스크: 1
평가표: 33
보존된 평가 기록: 192

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>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/jimmy-7664/std-mae

공식 코드

Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

https://github.com/jinguangyin/auto-dstsgn

공식 코드

Automated Dilated Spatio-Temporal Synchronous Graph Modeling for Traffic Prediction

https://github.com/jsun57/stmae

공식 코드

Revealing the Power of Masked Autoencoders in Traffic Forecasting

https://github.com/kishor-bhaumik/stlgru

공식 코드

STLGRU: Spatio-Temporal Lightweight Graph GRU for Traffic Flow Prediction

https://github.com/leemingo/cy2mixer

공식 코드

Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks

https://github.com/lehaifeng/T-GCN

공식 코드

T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction

https://github.com/li-yun-chen/spd-ddpm

공식 코드

SPD-DDPM: Denoising Diffusion Probabilistic Models in the Symmetric Positive Definite Space

https://github.com/lijunxian111/UIGNN

공식 코드

Uncertainty-aware Traffic Prediction under Missing Data

https://github.com/liulingbo918/ATFM

공식 코드

Dynamic Spatial-Temporal Representation Learning for Traffic Flow Prediction

https://github.com/liuxu77/largest

공식 코드

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting

https://github.com/liyaguang/DCRNN

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Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

https://github.com/lizzyhku/TP

공식 코드

Efficient Traffic Prediction Through Spatio-Temporal Distillation

https://github.com/lmissher/patchstg

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Efficient Large-Scale Traffic Forecasting with Transformers: A Spatial Data Management Perspective

https://github.com/lokol5579/DiffLight-release

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DiffLight: A Partial Rewards Conditioned Diffusion Model for Traffic Signal Control with Missing Data

https://github.com/maggiemh/bafdp

공식 코드

Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated Learning

https://github.com/mayunyi-1999/traffnet_code

공식 코드

TraffNet: Learning Causality of Traffic Generation for What-if Prediction

https://github.com/meiwu5/mhgnet

공식 코드

MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction

https://github.com/meiwu5/sfadnet

공식 코드

SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction

https://github.com/mingxilii/localegn

공식 코드

Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive Biases

https://github.com/naghm3h/msltd

공식 코드

Simpler is better: Multilevel Abstraction with Graph Convolutional Recurrent Neural Network Cells for Traffic Prediction

https://github.com/ninawie/neurips2021-traffic4cast

공식 코드

Traffic Forecasting on Traffic Moving Snippets

https://github.com/nitinkamra1992/FQA

공식 코드

Multi-agent Trajectory Prediction with Fuzzy Query Attention

https://github.com/nnzhan/Graph-WaveNet

공식 코드

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

https://github.com/nnzhan/MTGNN

공식 코드

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

https://github.com/octopusli/neurips2022-traffic4cast

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Multi-task Learning for Sparse Traffic Forecasting

https://github.com/pbecker93/ExpectedInformationMaximization

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Expected Information Maximization: Using the I-Projection for Mixture Density Estimation

https://github.com/pengxin-guo/adcsd

공식 코드

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

https://github.com/piyushy1/OSMTrafficEstimation

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Traffic Prediction Framework for OpenStreetMap using Deep Learning based Complex Event Processing and Open Traffic Cameras

https://github.com/rdemedrano/crann_traffic

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A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction

https://github.com/rdh1115/T-Graphormer

공식 코드

T-Graphormer: Using Transformers for Spatiotemporal Forecasting

https://github.com/resuly/traffic4cast-2021

공식 코드

Traffic4cast -- Large-scale Traffic Prediction using 3DResNet and Sparse-UNet

https://github.com/rhymesg/SRNN

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Structural Recurrent Neural Network for Traffic Speed Prediction

https://github.com/ringbdstack/stamimupter

공식 코드

STAMImputer: Spatio-Temporal Attention MoE for Traffic Data Imputation

https://github.com/ruixindingecnu/drformer

공식 코드

DRFormer: Multi-Scale Transformer Utilizing Diverse Receptive Fields for Long Time-Series Forecasting

https://github.com/selmiss/gp-tlstgcn

공식 코드

Graph Pruning Based Spatial and Temporal Graph Convolutional Network with Transfer Learning for Traffic Prediction

https://github.com/semink/lsdlm

공식 코드

Traffic signal prediction on transportation networks using spatio-temporal correlations on graphs

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