New Challenges in FCD Research

Abstract

While algorithms to process FCD from raw spatio-temporal data became common and more sophisticated during the last years, these data are already widely used by applications for operational traffic management or by traffic data providers which are mostly based only on travel or delay times. To improve the quality of FCD and deduce further traffic parameters new research is conducted, which also creates new use cases for these data. Based on new devices (e.g. smartphones) and lower cost for wireless communication new data sources are available whose different characteristics require adaptions or even different algorithms for processing. This paper will show algorithms to assess and improve quality of FCD by including additional information as well as handling new data sources or extracting additional information for new FCD use cases.