Research Groups
The Chair of Transportation Systems Engineering is divided into four research fields, each with its own focus, tools, and personnel.
This research group focuses on human factors, their impacts on transport, and their interactions within different aspects of the transportation industry.
Key areas of investigation:
- Driving behavior (driving simulation, naturalistic driving)
- Travel behavior (gender impact, socio-demographics)
- Survey design
- Acceptance of disruptive transport technologies (e.g., UAM, Hyperloop)
- User experience evaluation, including comfort assessment in different transportation modes
- Behavior modeling for transportation planning and policy
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This research group focuses on modelling and simulating inter/multimodal transportation systems, emerging mobility and vehicle technologies.
Key areas of investigation:
- Transport demand and supply modeling (traditional and agent-based modeling)
- Modeling multimodal transportation systems
- Modeling emerging/on-demand mobility systems
- Modeling autonomous/connected autonomous vehicles
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Past projects:
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The group focuses on identifying and using publicly available data for analytics and modeling applied to transport. Taking advantage of the diversity of datasets available, the research topics are not limited to a specific application but cover a wide range of problems in travel demand and behavior, traffic safety, and transportation supply, among other emerging topics.
Key areas of investigation:
- Demand calibration using opportunistic data.
- Collection of trip attributes and mobility information from opportunistic sources.
- Data fusion of multiple data sources for transportation modeling.
- Travel behavior modeling and safety analysis using naturalistic driving data.
- Transport supply modeling using OSM and GTFS data.
- Data-driven modeling of traffic prediction.
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See our research showcase for illustrative examples of the research that is being conducted at the Chair of Transportation Systems Engineering.