Meta-Heuristic Aggregate Calibration of Transport Network Models Exploiting Data Collected in Mobility
| Componente | Categoria |
|---|---|
| Filippo Carrese | Dottorando/Assegnista/Specializzando componente non strutturato del gruppo di ricerca |
| Gaetano Fusco | Componenti strutturati del gruppo di ricerca |
The project aims to develop and implement a general methodology for the aggregate calibration of transport network models, which exploits different data sources and is suitable to deal with individual data collected in mobility, like Floating Car Data, jointly with other data sources within a multi-step optimization procedure based on metaheuristic algorithms. The application of the methodology will be tested in a case study concerning the update of the Traffic Model of Rome with new data collected in mobility.
The application fields of the proposed methodology for aggregate transport network models calibration will be broad and will cover different types of models, independently of their specific formulation and extent. The crowdsourcing of individual data collected in mobility is today a suitable source of data for updating transport system models and will be even more widely available in the future. These technological advances open even broader perspectives for the application of aggregate calibration based on crowdsourcing of mobility data.