Modeling Smart Transportation Systems

About

Cities around the world face rapid changes in their transportation systems with the advances in ICTs. Recent trends include on-demand and shared mobility-modes and automation in public and private transportation systems; these new solutions impact transport industry, infrastructures management as well as political agenda. Focusing on Intelligent Transportation Systems (ITS), new “Smart Mobility” system and real-time network management have been developed as potential solutions to mitigate congestion issues and improve network efficiency.

This course offers theoretical and practical learning materials for transportation modeling and simulation techniques, with a focus on Smart Mobility and ITS solutions and real-world applications.

This course reviews the most well-known mobility behavior simulation models, demand forecasting methods, business, social and political issues and related analytical techniques. After a general overview about sustainable and smart transportation (including business models, technical and urban design aspects), the course will allow participants to get innovative methods so to model Smart cities current and future solutions.

Course leader

Prof. Dr. Massimo Moraglio, Prof. Dr. Hamid Mostofi

Target group

The Bachelor graduates and Master/PhD students of:

Business and Economics
Industrial, Civil, IT and Computer Science, Mechanical, Electronical Engineering
Urban planning
Transportation Engineering

Course aim

Students will gain the knowledge and analytical skills in the fields of:

-Transport trends and futures (megatrends), including new social behaviors and innovative agendas, including sustainability goals
-Intelligence Transport systems (ITS) and Smart mobility modes
-Modeling and simulation approaches for future mobility
-Forecasting demand models in smart cities.

Fee info