A spatial decision support system for traffic accident prevention in different weather conditions

Natural conditions play an important role as determinants and cocreators of the spatiotemporal road traffic accident Hot Spot footprint; however, none of the modern commercial, or open-source, navigation systems currently provides it for the driver. Our findings, based on a spatiotemporal database r...

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Main Authors: Danijel Ivajnšič, David Pintarič, Veno Jaša Grujić, Igor Žiberna
Format: Article
Language:English
Published: ZRC SAZU, Založba ZRC 2021-07-01
Series:Acta Geographica Slovenica
Subjects:
Online Access:https://ojs.zrc-sazu.si/ags/article/view/9415
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author Danijel Ivajnšič
David Pintarič
Veno Jaša Grujić
Igor Žiberna
author_facet Danijel Ivajnšič
David Pintarič
Veno Jaša Grujić
Igor Žiberna
author_sort Danijel Ivajnšič
collection DOAJ
description Natural conditions play an important role as determinants and cocreators of the spatiotemporal road traffic accident Hot Spot footprint; however, none of the modern commercial, or open-source, navigation systems currently provides it for the driver. Our findings, based on a spatiotemporal database recording 11 years of traffic accidents in Slovenia, proved that different weather conditions yield distinct spatial patterns of dangerous road segments. All potentially dangerous road segments were identified and incorporated into a mobile spatial decision support system (SLOCrashInfo), which raises awareness among drivers who are entering or leaving the predefined danger zones on the street network. It is expected that such systems could potentially increase road traffic safety in the future.
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spelling doaj.art-decb4a63c7344026ab78a8a8740f50d02022-12-22T04:38:56ZengZRC SAZU, Založba ZRCActa Geographica Slovenica1581-66131581-83142021-07-0161175–9275–9210.3986/AGS.94158827A spatial decision support system for traffic accident prevention in different weather conditionsDanijel Ivajnšič0https://orcid.org/0000-0003-4419-5295David Pintarič1https://orcid.org/0000-0002-6021-9851Veno Jaša Grujić2Igor Žiberna3University of Maribor, Faculty of Arts, Maribor, Slovenia; University of Maribor, Faculty of Natural Sciences and Mathematics, Maribor, SloveniaUniversity of Maribor, Faculty of arts, Maribor, SloveniaUniversity of Maribor, Faculty of Education, Maribor, Slovenia; University of Maribor, Faculty of Natural Sciences and Mathematics, Maribor, SloveniaUniversity of Maribor, Faculty of Arts, Maribor, SloveniaNatural conditions play an important role as determinants and cocreators of the spatiotemporal road traffic accident Hot Spot footprint; however, none of the modern commercial, or open-source, navigation systems currently provides it for the driver. Our findings, based on a spatiotemporal database recording 11 years of traffic accidents in Slovenia, proved that different weather conditions yield distinct spatial patterns of dangerous road segments. All potentially dangerous road segments were identified and incorporated into a mobile spatial decision support system (SLOCrashInfo), which raises awareness among drivers who are entering or leaving the predefined danger zones on the street network. It is expected that such systems could potentially increase road traffic safety in the future.https://ojs.zrc-sazu.si/ags/article/view/9415gismobile applicationspatial databasespatial patternstraffic safety
spellingShingle Danijel Ivajnšič
David Pintarič
Veno Jaša Grujić
Igor Žiberna
A spatial decision support system for traffic accident prevention in different weather conditions
Acta Geographica Slovenica
gis
mobile application
spatial database
spatial patterns
traffic safety
title A spatial decision support system for traffic accident prevention in different weather conditions
title_full A spatial decision support system for traffic accident prevention in different weather conditions
title_fullStr A spatial decision support system for traffic accident prevention in different weather conditions
title_full_unstemmed A spatial decision support system for traffic accident prevention in different weather conditions
title_short A spatial decision support system for traffic accident prevention in different weather conditions
title_sort spatial decision support system for traffic accident prevention in different weather conditions
topic gis
mobile application
spatial database
spatial patterns
traffic safety
url https://ojs.zrc-sazu.si/ags/article/view/9415
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