Project Details
Projekt
Data analytics for characterizing and modeling travel and traffic patterns (A04)
Subject Area
Traffic and Transport Systems, Intelligent and Automated Traffic
Term
since 2025
Project identifier
Deutsche Forschungsgemeinschaft (DFG) - Project number 531327426
The focus of A4 is on data science methods, which we apply and advance for different data types. First, hybrid techniques will be developed for generating an aggregate Origin-Destination (OD) travel demand based on high-frequency car travel time data. Second, cluster and classification algorithms will be developed to identify patterns in bicycle traffic using floating bicycle data. Third, we will develop methods to dealing with overlaps in the coverage of data and models. Fourth, we will investigate intra-personal travel routines, using sequence alignment methods with a particular focus on the effects of intra-household interactions.
DFG Programme
CRC/Transregios
Applicant Institution
Technische Universität Dresden
Project Heads
Professor Dr. Pascal Kerschke; Dr. Rico Wittwer
