ICT & Transportation in Smart Cities

online course

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 2-week program will bring a general overview about sustainable and smart transportation in the future smart cities in terms of i) industry trends, business models, technical and urban design aspects. Based on different European case studies especially in Germany, this program will allow participants to get innovative methods so to deal with Smart cities current and future solutions.

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

Course leader

Prof. Dr. Massimo Moraglio is a senior researcher at the TU Berlin, working on technology and its wide effects on economic, social and cultural fields.
Dipl.-Ing. MBA. Hamid Mostofi is a researcher and Ph.D. candidate at faculty 1 of TU Berlin.

Target group

This course is designed for current university students, working professionals and any individuals interested in transportation trends and development.

Participants from all fields and disciplines are welcome.

Course aim

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

Transport trends and futures (Megatrends)
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

EUR 720: Fee for students.
The fee covers the course, course materials, and a digital cultural program.
EUR 1120: Fee for working professionals/non- students.
The fee covers the course, course materials, and a digital cultural program.