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)
Semantic Modeling of the Built Environment for Digital Twins
The session introduces the two major paradigms of built environment modeling—Building Information Modeling (BIM/IFC) and Geographic Information Systems (GIS/CityGML)—highlighting their distinct purposes, data structures, and reference frameworks. Participants will explore how these two modeling domains complement each other and why their integration is increasingly essential for applications spanning the building-to-city scale.
Through theoretical discussion and practical examples, the tutorial will examine and compare the semantic, geometric, and reference system differences between IFC and CityGML. It will further explore integration approaches, including data transformation, schema mapping, and model linking techniques.
Application scenarios, such as indoor navigation, utility network modeling, and 3D urban data integration, will be demonstrated to illustrate the advantages and challenges of achieving interoperability between BIM and GIS environments.
By the end of the 5-hour tutorial, participants will gain a conceptual and practical understanding of semantic modeling principles for the built environment, an awareness of existing standards and tools, and insight into ongoing research and implementation trends that drive the development of Digital Twins at both building and city scales.
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
Urban Artificial Intelligence: Theory, Methodology and Applications
Lecturer: Prof. Dr. Ying Long, Tsinghua University
Autonomous Driving: From Origins to Future Frontiers
Lecturer: Dr. Xianyuan Zhan, Tsinghua University
Traffic Condition Estimation and Control
Lecturer: Prof. Dr. Ruimin Li, Tsinghua University
入学条件
入选冬季学校的竞争非常激烈。招生委员会将根据申请者提交的全部材料进行综合评审,一经录取,校方会立即通过电子邮件通知候选人。
学费
参加冬季学校2025的费用是全免的,无需支付任何费用。
Submission Deadline: 15 November 2025 (Wednesday)
联系方式
如果您对录取流程有任何疑问,请发送电子邮件至 transportation.vtk@ed.tum.de.
主办单位
Supporting Partner
活动预告
Master of Science Programmes: Admission Webinar Series 2026/27
- Online
Master of Science Programmes: Info Session Series 2026/27
- Online
Master of Science Programmes: DAAD Scholarship Info Session 2026/27
- Online
mobil.TUM 2025 – 14th International Scientific Conference on Mobility and Transport
- In-person | Singapore
理学硕士项目宣讲会 2026/27
- Online