Real-time traffic and transportation data are key factors for improving urban mobility services. With the emergence of smartphones, traditional data sources such as cameras and road sensors could be replaced with innovative approaches centred around smartphone users. The SUPERHUB project proposes a novel user centric approach for gathering, processing and consuming information in order to provide ecological-friendly multi-modal journey planning. Traffic sensing and Floating Car Data are addressed by two different methodologies to provide historical and real-time traffic analysis then merged to provide a unified traffic model called Speed Profile. In this paper, we present our innovative approach in aggregating different heterogeneous sources to identify mobility patterns, speed and traffic flow. Then we discuss its business benefits and its applications.
SUPERHUB approach on exploiting mobility patterns for smart urban applications
TOSI, DAVIDE;
2014-01-01
Abstract
Real-time traffic and transportation data are key factors for improving urban mobility services. With the emergence of smartphones, traditional data sources such as cameras and road sensors could be replaced with innovative approaches centred around smartphone users. The SUPERHUB project proposes a novel user centric approach for gathering, processing and consuming information in order to provide ecological-friendly multi-modal journey planning. Traffic sensing and Floating Car Data are addressed by two different methodologies to provide historical and real-time traffic analysis then merged to provide a unified traffic model called Speed Profile. In this paper, we present our innovative approach in aggregating different heterogeneous sources to identify mobility patterns, speed and traffic flow. Then we discuss its business benefits and its applications.
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