scikit-mobility: mobility analysis in Python

sparkmobility: processing large human mobility dataset with Spark

sparkmobility-scala: Scala Spark codesapce for sparkmobility

🚀 Advanced Tourist Mobility Prediction System using Large Language Models (LLM) on HPC Infrastructure | Tourism Analytics with 4x NVIDIA A100 GPUs | VeronaCard Dataset | Qwen2.5 Llama3.1 Mixtral | Python Machine Learning AI | Leonardo CINECA Supercomputing | Geospatial Temporal Analysis | Production-Ready Multi-GPU Inference | Open

Real-world NYC taxi trip analysis using unsupervised machine learning techniques including KMeans clustering and Isolation Forest for mobility analytics, behavioral segmentation, and anomaly detection.

This repository addresses public transportation mobility analysis as discussed in my Ph.D. thesis titled as: "Popular Content Distribution in Public Transportation Using Artificial Intelligence Techniques". The code used for the entire mobility analysis is provided twice using two programming languages, namely: Python and MATLAB.