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traffic-flow-prediction

Here are 36 public repositories matching this topic...

LibCity / Bigscity-LibCity

LibCity: An Open Library for Urban Spatial-temporal Data Mining

Updated Dec 18, 2024
Python

xiaochus / TrafficFlowPrediction

Traffic Flow Prediction with Neural Networks(SAEs、LSTM、GRU).

lstm gru traffic-flow-prediction saes

Updated Aug 28, 2023
Python

zhiyongc / Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

graph lstm graph-convolutional-networks traffic-prediction traffic-flow-prediction traffic-graph-convolution traffic-forecasting

Updated Dec 11, 2019
Jupyter Notebook

xiaoxiong74 / TrafficFlowForecasting

Some TrafficFlowForecasting Solutions(交通流量预测解决方案)

gcn traffic-flow-prediction traffic-forecasting

Updated Nov 9, 2020

tsinghua-fib-lab / Traffic-Benchmark

[TKDD 2023] Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution

benchmark time-series dataset intelligent-transportation-systems gcn traffic-prediction time-series-forecasting traffic-flow-prediction graph-neural-networks gnn spatial-temporal-forecasting traffic-forecasting dynamic-graph dgcrn

Updated May 24, 2021
Python

aprbw / traffic_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

BUAABIGSCity / PDFormer

[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

aptx1231 / Traffic-Prediction-Open-Code-Summary

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

Updated Nov 17, 2022

Echo-Ji / ST-SSL

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 Dec 12, 2024
Python

wengwenchao123 / DDGCRN

[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 Sep 2, 2025
Python

HKUDS / FlashST

[ICML'2024] "FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction"

smart-cities spatio-temporal-prediction traffic-flow-prediction urban-computing pre-training prompt-tuning

Updated Sep 2, 2024
Python

vonfeng / DeepSTN

[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

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

thenomaniqbal / Traffic-flow-prediction

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-analysis lstm long-short-term-memory lstm-neural-network traffic-flow-prediction traffic-flow-forecasting traffic-flow-modeling metro-interstate-traffic-volume

Updated Jan 22, 2025
Jupyter Notebook

yanganYNU / AFFGCN

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 Oct 30, 2024
Python

zouguojian / Traffic-flow-prediction

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 May 6, 2025
Python

shakibyzn / Traffic-flow-prediction

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

LibCity / M-LibCity

M-LibCity: An Open Source Library for Urban Spatio-temporal Prediction Models Based on MindSpore

deep-learning traffic eta map-matching spatio-temporal traffic-prediction trajectory-prediction spatio-temporal-prediction traffic-flow-prediction traffic-accident-prediction traffic-speed-prediction libcity

Updated Apr 12, 2024
Python

HowardZorn / ST-MAN

ST-MAN: Spatio-Temporal Multimodal Attention Network for Traffic Prediction (KSEM 2023)

traffic-prediction spatio-temporal-prediction traffic-flow-prediction traffic-forecasting traffic-speed-prediction

Updated Sep 2, 2023
Python

zhengchuanpan / DeepSTD

DeepSTD: Mining Spatio-temporal Disturbances of Multiple Context Factors for Citywide Traffic Flow Prediction

spatio-temporal traffic-flow-prediction context-factors

Updated Nov 16, 2021
Python

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