Dates

08 – 14 December 2025

Format 

In-Person

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

Module 1: 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, Technical University of Munich, Chair of Transportation Systems Engineering

Module 2: Modelling Traveler Behaviour

The transportation network performance is the result of the interaction between demand and supply. In this module we will present models and applications of modelling traveller behaviour in order to be able to quantify the demand for transportation. We will look at different data collection techniques (traditional surveys, but also opportunistic data sources), and different modelling techniques. Applications from several real use cases and projects will be used to demonstrate the models and link them with policy and practice. 

Lecturer: Prof. Dr. Constantinos Antoniou, Technical University of Munich, Chair of Transportation Systems Engineering

Module 3: Smart Capacity Management for Railway Systems

Rail Transportation Systems are the backbone of urban and continental transportation. In view of the rail renaissance and continuously growing demand experienced in recent years existing networks are operating under increasing stress. Transport planners and operators alike are therefore looking for ways to further increase the traffic load that can be supported by existing systems. In light of these developments the course will discuss different concepts and methodologies to define and assess the capacity of rail transportation systems. Starting from signalling and traffic control aspects, we will discuss approaches for robust capacity allocation, timetable stability evaluation, and network performance analysis and review new technologies in traffic management and train control with respect to their ability to further increase the efficiency and reliability of rail services. 

Lecturer: Prof. Dr. Norman Weik, Technical University of Munich, Professor for Design and Operation of Public Rail Transport Systems

Module 4: Sustainable Urban planning concepts

City development and transport system are connected. This module will show how both are linked to each other and what kind of policies should be used to create a city with less congestion and a high living quality. Examples from cities worldwide will be shown. The principles and strategies of transport demand management will be presented. What are suitable policies to reduce the traffic volume on the roads and give priority for traffic which can’t be avoided and generates the highest benefits / revenue for the society? The last part of the presentation will focus on the implementation of these theoretical concepts into a real transport policy using Singapore as an example.

Lecturer: Dr. Andreas Rau, Technical University of Munich Asia, Faculty Head and Principal Investigator (Rail, Transport & Logistics)

Module 5: CityGML Model analysis

Module description will be available soon.

Lecturer: Dr. Ihab Hijazi, Technical University of Munich, Chair of Geoinformatics

Module 6: Cycling policies for a sustainable city development

This module aims to introduce the basic principles of public transport policies to create transport system where people can rely on a fast and passenger friendly public transport system. The theoretical policies will be supported by showing some case studies in Chinese cities, where these concepts are applied in a real city.

Lecturer:  Professor Dr. Yang Xinmiao, Tsinghua University 

Module 7: Transport planning theory and its development

This course is to introduce the basic principles of transport planning, planning methods, the working process of transport planning, and the application of transport planning theory in various transport planning and the latest research progress. The main contents include the characteristics of traffic demand and the main influencing factors, the content and main processes of urban traffic planning, the classical methods of urban traffic demand forecasting, and the outlook of traffic planning and management theory research.

Lecturer: Prof. Dr. Huapu Lu, Tsinghua University 

Module 8: 3.: AI for city planning

Module description will be available soon.

Lecturer: Prof. Dr. Ying Long, Tsinghua University

Module 9: AI for transportation

Module description will be available soon.

Lecturer: Dr. Xianyuan Zhan, Tsinghua University