Analysis and Communication for dynamic traffic prognosis (B04)

• Subject Area: Traffic and Transport Systems, Intelligent and Automated Traffic ; Electronic Semiconductors, Components and Circuits, Integrated Systems, Sensor Technology, Theoretical Electrical Engineering
• Term: from 2011 to 2022
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 124020371

The goal is the research of high precision prediction methods for the dynamic behavior of road traffic based on resource-efficient transmission of extended Floating Car Data (xFCD) and other data sources. With the help of collected data from vehicles, triggers for disturbances of the traffic flow should be detected early and countermeasures are applied in real-time. New dynamic microscopic traffic models are needed. Applying Data Mining strategies, these models are re-parameterized in real time in order to handle the heterogeneity of urban traffic.

• DFG Programme: Collaborative Research Centres
• Subproject of: SFB 876: Providing Information by Resource-Constrained Data Analysis
• Applicant Institution: Technische Universität Dortmund
• Project Heads: Professor Dr. Kristian Kersting, from 1/2015 until 4/2017; Professor Dr. Thomas Liebig, since 1/2019; Professor Dr. Michael Schreckenberg; Professor Dr.-Ing. Christian Wietfeld