14 July 2023
Modeling Smart Transportation Systems
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 modelling 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.
Prof. Dr. Massimo Moraglio works at the TU Berlin on technology and its effects on economic, social and cultural fields.
Dr. Hamid Mostofi is researcher at TU Berlin and worked in automotive industry, urban mobility and smart city research institutes.
The Bachelor and Master/PhD students of:
-Business and Economics
-Industrial, Civil, IT and Computer Science, Mechanical, Electronical Engineering
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
EUR 950: 950 EUR for students
EUR 1140: 1140 EUR for working professionals