Multisource Data Framework for Road Traffic State Estimation

@inproceedings{Grau2018MultisourceDF,
  title={Multisource Data Framework for Road Traffic State Estimation},
  author={Josep Maria Salanova Grau and Evangelos Mitsakis and Panagiotis Tzenos and Iraklis Stamos and Luigi Selmi and Georgia Aifadopoulou},
  year={2018}
}
This paper presents a framework for data collection, filtering, and fusion, together with a set of operational tools to validate, analyze, utilize, and highlight the added value of probe data. Data is collected by both conventional (loops, radars, and cameras) and innovative (Floating Car Data, detectors of Bluetooth devices) technologies and refers to travel times and traffic flows on road networks. The city of Thessaloniki, Greece, serves as a case study for the implementation of the proposed… CONTINUE READING

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