traffic-flow-prediction 开源项目推荐（37 个）

LibCity /Bigscity-LibCity

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

xiaochus /TrafficFlowPrediction

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

zhiyongc /Graph_Convolutional_LSTM

Traffic Graph Convolutional Recurrent Neural Network

xiaoxiong74 /TrafficFlowForecasting

一些交通流量预测解决方案（交通流量预测解决方案）

tsinghua-fib-lab /Traffic-Benchmark

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

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).

BUAABIGSCity /PDFormer

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

aptx1231 /Traffic-Prediction-Open-Code-Summary

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

Echo-Ji /ST-SSL

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

wengwenchao123 /DDGCRN

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

HKUDS /FlashST

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

vonfeng /DeepSTN

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

martinwhl /T-GCN-PyTorch

A PyTorch implementation of T-GCN

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.

zouguojian /Traffic-flow-prediction

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

shakibyzn /Traffic-flow-prediction

A time series task- predicting traffic flow using LSTM model

LibCity /M-LibCity

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

HowardZorn /ST-MAN

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

zhengchuanpan /DeepSTD

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

charleschan1717 /HowMuchUKnowAboutPEMS-TrafficFlow

This project aims to reveal the internal structure of a typical spatiotemporal dataset—the PeMs dataset—to help scholars explore the PeMs dataset in depth. This project uses the classic PeMs08 dataset as an example to conduct data analysis and visualization.