Estimating Traffic Signal States by Exploiting Sparse Low-Frequency Floating Car Data

Steffen Axer

In this thesis, a novel methodology for the traffic signal state prediction based on real-world Floating Car Data (FCD) has been developed. In order to understand the characteristics of a real-world, commercially available FCD source, a one year dataset obtained from the ADAC (General German Automob