Objective
Create temporal indicators that support operational analysis and comparison between periods.
MDL–03 · Passenger flows
Passenger temporal dynamics
Analysis of hourly variation, peaks, anomalies and demand shifts across metropolitan networks.
Methodology
Temporal aggregation, normalization, anomaly detection, historical series and interactive visualization.
Note
This project is under development. Results, data and publications will be added when formally released by the laboratory.