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The Transportation Engineering Program (TEP) at the University of Maryland provides its students with in-depth knowledge of the range of topics that are of importance to the field from the more traditional areas of transportation planning, travel behavior, traffic operations, safety, and design to system optimization, transportation economics and policy, infrastructure vulnerability and protection, emissions estimation and sustainability analysis. With expertise in all transport modes, our students are trained to tackle problems involving both passengers and freight that arise along our roadways, airways, railways and waterways, as well as in their intermodal components. The problems that arise in the interdisciplinary field of transportation are complex and continue to change in character with changes in society, technology and the environment. TEP recognizes that to develop professionals who are capable of analyzing and solving these difficult problems, our students must master material in many disciplines, including for example mathematics, computer science, architecture and urban planning, operations research and management science, logistics, economics and psychology. With this training and an emphasis on both academic education and professional development, our graduates are now: professors and researchers at universities and research institutes in the U.S. and abroad; industry experts in local, national and international firms; and local, state and federal government officials.

Spotlight on People

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Cinzia CirilloCinzia Cirillo is an assistant professor at the University of Maryland, Department of Civil & Environmental Engineering since August 2006. She holds a PhD in Transportation Engineering from Politecnico di Torino (Italy). She has worked for different universities in Europe and in the USA; she has also served as academic adviser for well known consultancies and for the European Commission.

Dr. Cirillo's primary research interests include transport modelling techniques, application of advanced statistical and econometrics methods to travel demand forecasting, survey techniques: travel diary and stated preference methods, activity based models.

 

Martin Hall
Glenn L. Martin Hall

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