This repository contains the code for generating a synthetic dataset of Italian train schedules. The code is designed to create realistic train schedule datasets, which can be used for academic research, machine learning models, and simulation purposes.
The synthetic dataset is based on the actual train schedules provided by E656, a comprehensive resource for Italian train schedules. This project utilizes these schedules to generate new, synthetic instances that adhere to realistic operational constraints and timings.
This project was developed in collaboration with the University of Padova and Motion Analytica, leveraging their extensive research and development resources in transportation analytics.
If you use the synthetic dataset or the generation code in your research, please cite the following paper:
- Lorenzo Padoan, Francesco Silvestri, Bruno Zamengo, "Mapping Passenger Trajectories to Train Schedules - Industrial Paper," ACM SIGSPATIAL, 2024.
Additionally, acknowledge the data source as follows:
- Data sourced and adapted from E656 under their terms of use.
python dataset_generation.pyThis project is licensed under CC BY-NC-SA 4.0. For more information, please refer to the LICENSE file