The objective of this project was the analysis of the Trenord Station graph based on the graph theory. The analysis was developed in two directions: the first referred to the robustness and resilience, rather the capacity to resist to the falls of some nodes; the other one referred to the load of the network, in term of number of trains that pass though every station.
The dataset used as starting point to building the network is available at https://transitfeeds.com/p/trenord/724/latest. Others references are specified in the relation of our work.
The data used for this project are available in the Data folder. In the "raw" folder are contained raw data used as starting point. In the "data" folder are contained data pre-processed for the first task and in the "dataV2" folder are contained data pre-processed for the second task.
The relation of this project and the presentation are available in the Relation and presentation folder.
This project is developed in Python. All the code is available in the code folder.
⊜ Marco Piazza
- Current Studies: Computer Science Msc Student @ Università degli Studi di Milano-Bicocca (Unimib) ;
- Background: Bachelor degree in Computer Science @ Università degli Studi di Milano-Bicocca (Unimib).
⊜ Elisa Cazzaniga
- Current Studies: Computer Science Msc Student @ Università degli Studi di Milano-Bicocca (Unimib) ;
- Background: Bachelor degree in Computer Science @ Università degli Studi di Milano-Bicocca (Unimib).