Average speed estimation for road networks based on GPS raw trajectories (Contributo in atti di convegno)

Type
Label
  • Average speed estimation for road networks based on GPS raw trajectories (Contributo in atti di convegno) (literal)
Anno
  • 2013-01-01T00:00:00+01:00 (literal)
Alternative label
  • Barbosa I., Casanova M. A., Renso C., Macedo J. (2013)
    Average speed estimation for road networks based on GPS raw trajectories
    in ICEIS13 - 15th International Conference on Enterprise Information systems, Eseo, Angers Loira Valley, France, 04-07 July 2013
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Barbosa I., Casanova M. A., Renso C., Macedo J. (literal)
Pagina inizio
  • 490 (literal)
Pagina fine
  • 497 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • progetto SEEK - Semantic EnrichmEnt of trajectory Knowledge discovery grant agreement 295179 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.scitepress.org/DigitalLibrary/PaperInfo.aspx (literal)
Note
  • PuMa (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Military Institute of Engineering and Pontifical Catholic University, Brazil; Military Institute of Engineering, Brazil; CNR-ISTI, Pisa, Italy; Federal University of Ceará, Brazil. (literal)
Titolo
  • Average speed estimation for road networks based on GPS raw trajectories (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-989-8565-59-4 (literal)
Abstract
  • For applications involving displacements around cities, planners cannot count on moving at the legal speed limits. Indeed, the amount of circulating vehicles decreases the average speed and consequently increases the estimated time for daily trips. On the other hand, the number of available trajectories generated by GPS devices is growing. This paper presents a methodology to compute statistics about a road network based on GPS-tracked points, generated by vehicles moving around a city. The proposed methodology allows selecting the most representative data to describe how speeds are distributed along the days of week as well as along the time of the day. The results obtained may be used as an alternative to the shortest-path routing criterion for route planning. (literal)
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