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

Danijel  Ivajnšič; David  Pintarič; Veno Jaša Grujić; Igor  Žiberna

doi:10.3986/AGS.9415

Authors

Danijel Ivajnšič University of Maribor, Faculty of Arts, Maribor, Slovenia; University of Maribor, Faculty of Natural Sciences and Mathematics, Maribor, Slovenia https://orcid.org/0000-0003-4419-5295
David Pintarič University of Maribor, Faculty of arts, Maribor, Slovenia https://orcid.org/0000-0002-6021-9851
Veno Jaša Grujić University of Maribor, Faculty of Education, Maribor, Slovenia; University of Maribor, Faculty of Natural Sciences and Mathematics, Maribor, Slovenia
Igor Žiberna University of Maribor, Faculty of Arts, Maribor, Slovenia

DOI:

https://doi.org/10.3986/AGS.9415

Keywords:

GIS, mobile application, spatial database, spatial patterns, traffic safety

Abstract

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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