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

1 Citation (Scopus)

Abstract

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
PublisherSpringer
Pages226-234
ISBN (Electronic)978-3-319-15994-2
ISBN (Print)978-3-319-15993-5
DOIs
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

NameIFIP Advances in Information and Communication Technology
PublisherSpringer
Volume448
ISSN (Print)1868-4238
ISSN (Electronic)1868-422X

Conference

Conference11th IFIP WG 5.11 International Symposium, ISESS 2015
Abbreviated titleISESS 2015
CountryAustralia
CityMelbourne
Period25/03/1527/03/15

Fingerprint

User interfaces
Rain
Radar
Visualization
Monitoring

Keywords

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

Cite this

Stocker, M., Kauhanen, O., Hiirsalmi, M., Saarela, J., Rossi, P., Rönkkö, M., ... Kolehmainen, M. (2015). A software system for the discovery of situations involving drivers in storms. In Environmental Software Systems: Infrastructures, Services and Applications (pp. 226-234). Springer. IFIP Advances in Information and Communication Technology, Vol.. 448 https://doi.org/10.1007/978-3-319-15994-2_22
Stocker, Markus ; Kauhanen, Okko ; Hiirsalmi, Mikko ; Saarela, Janne ; Rossi, Pekka ; Rönkkö, Mauno ; Hytönen, Harri ; Kotovirta, Ville ; Kolehmainen, Mikko. / A software system for the discovery of situations involving drivers in storms. Environmental Software Systems: Infrastructures, Services and Applications. Springer, 2015. pp. 226-234 (IFIP Advances in Information and Communication Technology, Vol. 448).
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abstract = "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.",
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author = "Markus Stocker and Okko Kauhanen and Mikko Hiirsalmi and Janne Saarela and Pekka Rossi and Mauno R{\"o}nkk{\"o} and Harri Hyt{\"o}nen and Ville Kotovirta and Mikko Kolehmainen",
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Stocker, M, Kauhanen, O, Hiirsalmi, M, Saarela, J, Rossi, P, Rönkkö, M, Hytönen, H, Kotovirta, V & Kolehmainen, M 2015, A software system for the discovery of situations involving drivers in storms. in Environmental Software Systems: Infrastructures, Services and Applications. Springer, IFIP Advances in Information and Communication Technology, vol. 448, pp. 226-234, 11th IFIP WG 5.11 International Symposium, ISESS 2015, Melbourne, Australia, 25/03/15. https://doi.org/10.1007/978-3-319-15994-2_22

A software system for the discovery of situations involving drivers in storms. / Stocker, Markus; Kauhanen, Okko; Hiirsalmi, Mikko; Saarela, Janne; Rossi, Pekka; Rönkkö, Mauno; Hytönen, Harri; Kotovirta, Ville; Kolehmainen, Mikko.

Environmental Software Systems: Infrastructures, Services and Applications. Springer, 2015. p. 226-234 (IFIP Advances in Information and Communication Technology, Vol. 448).

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

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AB - 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.

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Stocker M, Kauhanen O, Hiirsalmi M, Saarela J, Rossi P, Rönkkö M et al. A software system for the discovery of situations involving drivers in storms. In Environmental Software Systems: Infrastructures, Services and Applications. Springer. 2015. p. 226-234. (IFIP Advances in Information and Communication Technology, Vol. 448). https://doi.org/10.1007/978-3-319-15994-2_22