traffic-flow-prediction

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

timeseries time-series neural-network mxnet tensorflow cnn pytorch transformer lstm forecasting attention gcn traffic-prediction time-series-forecasting timeseries-forecasting traffic-flow-prediction traffic-flow-forecasting traffic-forecasting

Updated Nov 10, 2023
TeX

aptx1231 / Traffic-Prediction-Open-Code-Summary

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Summary of open source code for deep learning models in the field of traffic prediction

open-source deep-learning traffic on-demand on-demand-service spatio-temporal graph-convolutional-networks traffic-prediction trajectory-prediction time-series-prediction spatio-temporal-prediction traffic-flow-prediction graph-neural-networks paper-list estimated-time-of-arrival traffic-accident-prediction open-code traffic-speed-prediction travel-time-prediction libcity

Updated Nov 17, 2022

BUAABIGSCity / PDFormer

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[AAAI2023] A PyTorch implementation of PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction.

dtw transformer traffic-prediction spatio-temporal-prediction self-attention traffic-flow-prediction kshape graph-transformer multivariate-time-series-prediction aaai2023

Updated Oct 13, 2023
Python

Echo-Ji / ST-SSL

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ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

data-mining adaptive representation-learning data-augmentation aaai fairness spatio-temporal-data robustness spatio-temporal-prediction traffic-flow-prediction graph-neural-networks self-supervised-learning robust-machine-learning traffic-forecasting contrastive-learning graph-augmentation location-embedding

Updated Jan 15, 2024
Python

FIBLAB / DeepSTN

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Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis

traffic-flow-prediction aaai2019 crowd-flow-prediction spatial-temporal-forecasting

Updated Apr 10, 2020
Python

martinwhl / T-GCN-PyTorch

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A PyTorch implementation of T-GCN

deep-learning pytorch spatio-temporal-prediction traffic-flow-prediction traffic-flow-forecasting pytorch-lightning

Updated Apr 16, 2023
Python

wengwenchao123 / DDGCRN

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[Pattern Recognition] Decomposition Dynamic Graph Conolutional Recurrent Network for Traffic Forecasting

pytorch traffic-prediction spatio-temporal-modeling spatio-temporal-prediction traffic-flow-prediction traffic-forecasting

Updated Mar 31, 2024
Python

yanganYNU / AFFGCN

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Attention Feature Fusion base on spatial-temporal Graph Convolutional Network（AFFGCN）

attention-mechanism gcn multimodal-deep-learning timeseries-forecasting traffic-flow-prediction onehot-encoding spatiotemporal-data-analysis feature-fusion-network

Updated Jan 2, 2024
Python

shakibyzn / Traffic-flow-prediction

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A time series task- predicting traffic flow using LSTM model

python time-series neural-network recurrent-neural-networks lstm traffic-flow-prediction traffic-flow-forecasting

Updated Jun 6, 2020
Jupyter Notebook

zouguojian / Traffic-flow-prediction

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This work considers combine multi-tricks with highway network to achieve traffic flow prediction accurately.

deep-learning tensorflow physical-modeling multi-task-learning baselines traffic-flow-prediction spatial-attention graph-neural-networks temporal-attention spatio-temporal-attention generative-inference

Updated Apr 17, 2024
Python

thenomaniqbal / Traffic-flow-prediction

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Long Short-Term Memory(LSTM) is a particular type of Recurrent Neural Network(RNN) that can retain important information over time using memory cells. This project includes understanding and implementing LSTM for traffic flow prediction along with the introduction of traffic flow prediction, Literature review, methodology, etc.

deep-learning traffic lstm long-short-term-memory lstm-neural-network traffic-flow-prediction traffic-flow-forecasting traffic-flow-modeling