Abstract The task of map-matching consists of finding a correspondence between a geographical point or sequence of points (e.g. obtained from GPS) and a given map. Due to many reasons, namely the noisy input data and incomplete or inaccurate maps, such a task is not trivial and can affect the validity of applications that depend on it. This includes any Transport Research projects that rely on post-hoc analysis of traces (e.g. via Floating Car Data). In this article, we describe an off-line map-matching algorithm that allows us to handle incomplete map databases. We test and compare this with other approaches and ultimately provide guidelines for use within other applications. This project is provided as open source.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    An off-line map-matching algorithm for incomplete map databases


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    11.09.2009


    Format / Umfang :

    18 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Map-matching Algorithm for Large Databases

    Sébastien Romon | Online Contents | 2015



    Flexible Weighting-And-Matching Scheme For Incomplete Data

    Wang, Lui / Johnson, Gordon G. | NTRS | 1993


    Context-dependent segmentation and matching in image databases

    Greenspan, H. / Dvir, G. / Rubner, Y. | British Library Online Contents | 2004


    Clustering Time-Series Medical Databases Based on the Improved Multiscale Matching

    Hirano, S. / Tsumoto, S. | British Library Conference Proceedings | 2005