Summer School
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Modeling Smart Transportation Systems
On-Campus:3.7 - 14.7.20233 ECTS

max. 22 participants
Registration Deadline: June 5th, 2023

Register now!


TU Berlin Summer & Winter School
+49 30 4472 0230


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.

Learning Goals & Syllabus

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

Main course components

  • Basics of mobility trends and futures
  • Basic of classical and innovative business models in the transport industry
  • Basics of Mobility actors and practice, with a focus on urban (smart) mobility 
  • Principals of Intelligence Transport systems (ITS)
  • Principals of On demand, real time ride sharing systems 
  • Traffic flow theory and practices 
  • Modeling and simulation approaches for future mobility
  • Mode choice analysis with focus on the new smart modes
  • Predicting traffic congestion


A detailed syllabus with information on the schedule will be made available to registered participants.

You may find the syllabus useful when discussing with your home university whether the ECTS credits attainable for this course are accepted by them.

Please note this is a full-time, intensive course and participants will be expected to attend lectures (22 hours of class per week) and complete independent study Monday through Friday. Additional study may also be required on weekends. The activities of the cultural program are also shown in the syllabus.

Target Audience

The Bachelor and Master/PhD students of:

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

Participants of the TU Berlin Summer & Winter School must meet the following requirements: (i) B2 level English, or equivalent and (ii) at least one year of university experience. Working professionals are also welcome to take part in the program.

  • Fundamentals of mathematics and statistics in Bachelor programs  

It is recommended for students to bring their own laptop to fully participate in the course.


Prof. Dr. Massimo Moraglio works at the Technische Universität Berlin on technology and its wide effects on economic, social and cultural fields. He is currently Academic Coordinator of the MBA “Sustainable Mobility Management” at TU Berlin and he has been visiting professor in Germany and Italy. He has been engaged as researcher and coordinator in European and national project regarding transport industry, final user’s attitudes and the future of mobility.

Dr. Hamid Mostofi is researcher at TU Berlin since 2017. He worked in automotive industry, urban mobility and smart city research institutes from 2008. In TU Berlin, he had the role of project manager in SUMIC project “ Developing smart urban mobility, funded by BMBF (German Federal Ministry of Education and Research)in 2021, project team member of GECI ( Green Energy Center) funded by BMU (German Federal Ministry of Environment) between 2017 -2021). His current project is eHaul : Electrification of long haul heavy-duty commercial vehicles with automated battery swapping stations which is funded by German Federal Ministry for Economic Affairs and Climate Action. Moreover, He has two Master degrees which are MBA&E (Master of Business Administration & Engineering) from the HTW Berlin and Master of Science in Mechanical Engineering (Automotive) from Iran University of Science and Technology 

Course fees

Course fees for Modeling Smart Transportation Systems are as follows:

  • Student: 950 Euro
  • Working professional/Non-student: 1140 Euro

Please note that students will be required to upload proof of their student status (student card/ enrollment information) during the registration process.

Summer School On-Campus:3 July - 14 July, 20233 ECTS credit points