Origin/Destination Matrix – AMAT Model

Model update and objectives

We have drawn up the operational methodology report for updating the AMAT model. The work focuses on building the Origin/Destination matrix based on telephone data and Floating Car Data. Furthermore, the objective is to enhance the reliability of the multimodal model. This ensures a representation that more closely reflects the actual dynamics of urban and metropolitan mobility.

Collection and calibration of data sources

Activities include the acquisition and calibration of demand data through traditional sources, such as ISTAT and mobility surveys, and innovative sources, such as mobile telephony and FCD. We have developed O/D matrices segmented by time slots, reasons for travel, age and frequency of travel. Furthermore, the distinction between internal, exchange and transit movements allows for a more accurate interpretation of the flows. This analysis allows users to be profiled in great detail, both in terms of time and socio-demographics.

Iterative procedures and model refinement

We developed iterative calibration and fine-tuning procedures, comparing the generated matrices with the data observed in the existing model. In addition, specific functions have been introduced to estimate the disutility associated with searching for parking. We isolated journeys to and from airports, defining catchment areas and the contribution of each area to overall traffic flows. The model was recalibrated for the CAP scenario and subsequently validated through correlations between simulated and measured flows.

Sensitivity analysis and final results

The report includes a sensitivity analysis useful for testing the robustness of the model with respect to variations in public transport parameters, private traffic and demand adjustments. Furthermore, the analysis produces a validated operational tool capable of supporting strategic planning. This methodological framework provides reliable transport KPIs that are useful for assessing complex urban and metropolitan mobility scenarios.