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

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

Target group

The Bachelor graduates and Master/PhD students of:
• Urban planning
• Transportation Engineering
• Business and Economics
• Industrial, Civil, IT and Computer Science, Mechanical, Electronical Engineering

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
• Modelling and simulation approaches for future mobility
• Forecasting demand models in smart cities

Credits info

3 EC
We will ask participants to fulfill the following technical requirements:
• Fully functional device (laptop, tablet, PC)
• Stable internet connection
• Software: Zoom (App installed on desktop or over browser. Participants are requested to use their real names as zoom account names.)
• Recommended: external headset for better sound quality

Fee info

EUR 700: Aug. 10-17: *Reading week* : flexible, 5 hours preparatory work to be done on-demand
Aug. 17-21: Week 1: Live and on-demand course elements
Aug. 24-28: Week 2: Live and on-demand course elements
The fee covers the course, course materials, and a digital cultural program.

Scholarships

no