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Ricercatore a tempo determinato
DICEA - via Eudossiana, 18 - 00184 Roma
Edificio A - Piano 3° - Area Trasporti
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Chiara Colombaroni is an assistant professor in Transport System Engineering at DICEA Department of Civil, Constructional and Environmental Engineering, Sapienza University of Rome.
Her research activities are addressed to transportation planning and transportation system modelling in particular to study traffic flow modelling, driver behaviour modelling, traveller information systems, road traffic control and network design. She carried out several studies about demand models and environmental impacts and she was involved  in several Research Activities for studies about Optimization and Simulation of Transport Systems.

She was an assistant professor at online University Niccolò Cusano in Rome, she taught Transport Science and Economics and Technologies for Sustainable Transport.

She participated to several conference as speaker and as organizer of National and International Conference.

Pubblicazioni Selezionate
  • Colombaroni C., Fusco G., Isaenko N. (2020) A Simulation-Optimization Method for Signal Synchronization with Bus Priority and Driver Speed Advisory to Connected Vehicles Transportation Research Procedia Volume 45, 2020, Pages 890-897
  • Colombaroni C., Fusco G., Isaenko N. (2019) Optimization and simulation approach of containers handling operations at intermodal terminals Advances in Transportation Studies Volume 3, Issue Special issue, 2019, Pages 93-106
  • G. Fusco, A. Bracci, T. Caligiuri, C. Colombaroni, N. Isaenko (2018): Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area. IET Intelligent Transport Systems, 2018. doi: 10.1049/iet-its.2018.0015.
  • Fusco G, Colombaroni C., Isaenko N. (2016) Comparative analysis of implicit models for real-time short-term traffic predictions. IET Intelligent Transport Systems, 9 pp. DOI:10.1049/iet-its.2015.0136, Online ISSN 1751-9578 Available online: 14 April 2016
  • Colombaroni C., Fusco G. (2013). Artificial Neural Network Models For Car Following: Experimental Analysis And Calibration Issues. Journal Of Intelligent Transportation Systems, ISSN: 1547-2450, doi: 10.1080/15472450.2013.801717.

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