Intelligent transport systems SoSe24

Learning Outcomes

After successfully passing the module, students are able to
- understand relevant problems, especially due to fast system dynamics and conflicting goals in the selection of measures
- to apply the taught methods in a differentiated way (data collection, traffic monitoring, information provision, real-time traffic management) in the different application domains (individual transport, commercial transport, rail transport, public transport)

Content

Topics of the event:
- How is information on the traffic situation generated?
- When should passengers be informed about a public transport incident and how can they react?
- Which methods and models can be used to account for the fast dynamics of traffic in planning and real-time control?
- What distinguishes open loop from closed loop control?
- Which traffic models are used to plan control measures in real-time traffic management systems?
- How can the control mechanism of a fleet of autonomous vehicles react to spontaneously arising demand?
- In addition to the theoretical basics, simulation-based application examples from the field of fleet management of autonomous or electric vehicles and traffic control are taught
- Furthermore, aspects of toll systems will be discussed (city toll/Toll Collect).