• DocumentCode
    50161
  • Title

    Approach to estimate travel time using sparsely sampled GPS data in urban networks

  • Author

    Hadachi, Amnir ; Mousset, Stephane ; Bensrhair, Abdelaziz

  • Author_Institution
    LITIS Lab., Nat. Inst. of Appl. Sci. of Rouen, St. Étienne du Rouvray, France
  • Volume
    49
  • Issue
    15
  • fYear
    2013
  • fDate
    July 18 2013
  • Firstpage
    957
  • Lastpage
    958
  • Abstract
    The aim of this reported work is to estimate travel time on urban road sections. The concerned roads are the ones with no dedicated sensing infrastructure and for which the only potentially available source of data is sparse GPS probe data. Presented is a new approach to solve this problem by using an applied particle filter method and historical probabilities distributions of travel time per road section.
  • Keywords
    Global Positioning System; estimation theory; particle filtering (numerical methods); road traffic; data source; historical probabilities distributions; particle filter method; sparse GPS probe data; sparsely sampled GPS data; travel time estimation approach; urban networks; urban road sections;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2013.1032
  • Filename
    6563270
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=50161