Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
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Updated
Dec 9, 2024 - Python
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
This repo includes introduction, code and dataset of our paper Deep Sequence Learning with Auxiliary Information for Traffic Prediction (KDD 2018).
Traffic data processing tools in LibCity
Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"
😁【北京市优秀毕业论文】基于车辆轨迹时空数据的城市热点预测模型研究【Urban hot spot prediction model based on spatiotemporal data of vehicle trajectory】
dataviz is a customizable heatmap visualization of traffic data provided by Ubiwhere
Utilitiy for converting Flanders "Meten in Vlaanderen" (MIV) traffic data to DATEXII
Extracting features from novel traffic data modeling technique called Speed Transition Matrix (STM). After the feature extraction, results are evaluated on different machine learning algorithms using labeled STMs.
Visual Traffic Surveillance and Analytics System
[work-in-progress] Convolutional neural network for anomaly detection on large road networks
Time Series Forecast of traffic on JetRail
Parse ITG summary logs, and network metrics in a time function to CSV
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