
Date
8 – 14 December 2025
Venue
清华大学
Haidian District, Beijing, 100084, P. R. China
Format
In-person
Learn from some of the world’s top universities this winter.
Embark on an exhilarating learning adventure this winter with the exclusive Winter School 2025 (Beijing) conducted two of the top universities in the world. Featuring an exciting line up of professors from TUM, TUM Asia and 清华大学.
Comprising a total of 13 sessions of training courses spanning from 08 – 14 December 2025, this Winter School features a cadre of experts from both universities to present research on Smart Sustainable Cities and Transportation.
申请资格
Applications are open to candidates who already hold a bachelor’s degree or who are currently enrolled in a bachelor’s degree programme, in any of the following areas (but not limited): Civil Engineering, Transportation Engineering, Electrical Engineering, Geodetics, Mechanical Engineering, Geography, Computer Science, Communications Engineering, Economics, Mathematics, Physical Sciences, Architecture, Environmental Engineering, Tourisms.
All classes at the Winter School 2025 (Beijing) will be conducted in English. Participants should ensure that they are proficient in English (reading and writing) at university level.
Key Topics
- Smart and green city growth
- Use of geospatial data and geoinformatics to plan and manage smart city development and organize the transport system
- Usage of big data analytics and artificial intelligence,
- Usage if drones and robots in city and transport planning and management
- Smart Railway systems and integration of public transport modes
Data-Driven Transportation Models
The emergence of novel data collection techniques has enabled a paradigm shift from primarily theory-based models to models that also exploit emerging data to develop more flexible, comprehensive functional forms. Machine learning methods are increasing in complexity and combined with the richer data can result in more powerful models. In this module we provide an overview of methodologies and related applications, such as resilience and emissions modelling, highlighting the state-of-the-art in the field of data-driven transportation models.
Lecturer: Prof. Dr. Constantinos Antoniou, TUM, Chair of Transportation Systems Engineering
Modelling Traveler Behaviour
Lecturer: Prof. Dr. Constantinos Antoniou, TUM, Chair of Transportation Systems Engineering
Smart Capacity Management for Railway Systems
Lecturer: Prof. Dr. Norman Weik, TUM, Professor for Design and Operation of Public Rail Transport Systems
Sustainable Urban planning concepts
Lecturer: Dr. Andreas Rau, TUM Asia, Faculty Head and Principal Investigator (Rail, Transport & Logistics)
CityGML Model Analysis
Lecturer: Dr. Ihab Hijazi, TUM, Chair of Geoinformatics
Cycling Policies for a Sustainable City Development
Lecturer: Prof. Dr. Yang Xinmiao, Tsinghua University
Transport Planning Theory and Its Development
Lecturer: Prof. Dr. Huapu Lu, Tsinghua University
AI for City Planning
AI for Transportation
入学条件
Admission to our Winter School is highly competitive. Selection is based on a comprehensive review of all documents received in the application by the examination board. Candidates will be notified by email as soon as the admission is granted.
Participation Fees
Participation in the Winter School is complimentary and free of charge.
联系方式
If you have any questions regarding the admission procedure, please email us at transportation.vtk@ed.tum.de.
Organised by

Supporting Partner


活动预告

理学硕士项目宣讲会 2026/27
- Online

mobil.TUM 2025 – 14th International Scientific Conference on Mobility and Transport
- In-person | Singapore

Master of Science Programmes: Admission Webinar Series 2026/27
- Online

Master of Science Programmes: Info Session Series 2026/27
- Online
You May Also Like





