A software system for the discovery of situations involving drivers in storms

Markus Stocker, Okko Kauhanen, Mikko Hiirsalmi, Janne Saarela, Pekka Rossi, Mauno Rönkkö, Harri Hytönen, Ville Kotovirta, Mikko Kolehmainen

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    2 Citations (Scopus)


    We present an environmental software system that obtains, integrates, and reasons over situational knowledge about natural phenomena and human activity. We focus on storms and driver directions. Radar data for rainfall intensity and Google Directions are used to extract situational knowledge about storms and driver locations along directions, respectively. Situational knowledge about the environment and about human activity is integrated in order to infer situations in which drivers are potentially at higher risk. Awareness of such situations is of obvious interest. We present a prototype user interface that supports adding scheduled driver directions and the visualization of situations in space-time, in particular also those in which drivers are potentially at higher risk. We think that the system supports the claim that the concept of situation is useful for the modelling of information about the environment, including human activity, obtained in environmental monitoring systems. Furthermore, the presented work shows that situational knowledge, represented by heterogeneous systems that share the concept of situation, is relatively straightforward to integrate.
    Original languageEnglish
    Title of host publicationEnvironmental Software Systems
    Subtitle of host publicationInfrastructures, Services and Applications
    ISBN (Electronic)978-3-319-15994-2
    ISBN (Print)978-3-319-15993-5
    Publication statusPublished - 2015
    MoE publication typeA4 Article in a conference publication
    Event11th IFIP WG 5.11 International Symposium, ISESS 2015 - Melbourne, Australia
    Duration: 25 Mar 201527 Mar 2015
    Conference number: 11

    Publication series

    SeriesIFIP Advances in Information and Communication Technology


    Conference11th IFIP WG 5.11 International Symposium, ISESS 2015
    Abbreviated titleISESS 2015


    • environmental knowledge systems
    • situation theory
    • ontology
    • knowledge representation
    • MMEA
    • Wavellite


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