# Revealing the Spatial Pattern of Weather-Related Road Traffic Crashes in Slovenia
## 4 Discussion
There is no doubt that results from geospatial models are usually highly applicable [49], but none of the current commercial or open-source navigation systems contain spatial information about road traffic crash hot spots. Thus, more attention to speed limits, safety distance, and other vehicles entering and leaving the system could be expected. Similar to the Google Maps navigation system app, which provides real-time information about traffic load on highways, our findings could be integrated into a spatial decision support system that warns drivers who are entering or leaving any municipal road network system with higher road traffic crash risk depending on the given weather conditions. [PERSON] et al. [48] developed such an app for the android environment, but for only four Slovenian municipalities. They linked the same road traffic crash dataset with road network vector data and thus identified more (death and major injury) and less (minor injury and material damage) dangerous road segments in different weather conditions. These findings were later transferred into the SLOCrashInfo mobile app where dangerous road segments are displayed as visual warnings (death and major injury = red screen alert, minor injury and material damage = blue screen alert, etc.) on the OSM basemap. Moreover, this app also functions as a navigation system with which dangerous road segments can be avoided. However, in order to properly raise drivers' awareness about road traffic crash hot spots, such spatial information should be provided on the European (or even international) level. In that case, data availability, data capacity, and computer processing power are the main limiting factors for now. Nonetheless, some authors [50; 51] have emphasized that modern vehicle-to-vehicle communication technologies could support drivers with real-time traffic data and thus potentially prevent road network crashes. The ideal solution would be integrating such informative spatial data with the vehicle information system. The forthcoming internet of things (IOT) platform in the transport sector provides a good opportunity for the development of decision support systems for road traffic safety. Our findings could also be linked with the signaling systems along highways. The interactive information signs could project this kind of information and thus inform drivers about dangerous highway segments according to the given weather conditions. However, in this case, regional and local roads, which are not supported with such signaling technology, would be left behind. Because the social, psychological, and financial damage caused by road crashes worldwide is still enormous and road traffic crashes cost most countries 3% of their gross domestic product [44], studies like this one that provide applicative solutions to potentially increase road traffic safety are urgently needed. D.I. : Supervision, Conceptualization, Methodology, Formal analysis, Writing--review and editing. N.H.: Data curation, Formal analysis. E.K.K. : Data curation, Writing--original draft. I.Z. : Visualization, Investigation, Formal analysis. D.D. : Formal analysis, Writing--review and editing. All authors have read and agreed to the published version of the manuscript. This study was supported by the Slovenian Research Agency and the Research Program Slovene identity and cultural awareness in linguistic and ethnic contact areas in past and present (P6-0372), the research project Preventing heat stress in urban systems (J7-1822) and the project >>Development Of Research Infrastructure For The International Competitiveness Of The Slovenian RRI Space--RI-SI-LifeWatch>> co-financed by the Republic of Slovenia, Ministry of Education, Science and Sport and the European Union from the European Regional Development Fund.