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These are unexpected situations, and the real-time sensors of vehicles are currently limited in their ability to predict them (a slippery road surface for example) in time, and deliver a programed response to a dangerous situation. This paper presents a method based on the analysis of historical accident records, to find danger zones of public road networks. A further statistical approach is used to find the significant risk factors of these zones, which data can be built into the controlling algorithms of autonomous vehicles, to prepare for these situations and avoid, or at least decrease the seriousness, of the potential incidents. It is concluded that the proposed method can find the black spots of a given road section and give assumptions about the main local risk factors.<\/jats:p>","DOI":"10.3233\/jcm-204186","type":"journal-article","created":{"date-parts":[[2020,4,14]],"date-time":"2020-04-14T13:36:04Z","timestamp":1586871364000},"page":"85-97","source":"Crossref","is-referenced-by-count":9,"title":["Statistical accident analysis supporting the control of autonomous vehicles"],"prefix":"10.1177","volume":"21","author":[{"given":"S\u00e1ndor","family":"Sz\u00e9n\u00e1si","sequence":"first","affiliation":[{"name":"John von Neumann Faculty of Informatics, \u00d3buda University, Budapest, Hungary"}]},{"given":"G\u00e1bor","family":"Kert\u00e9sz","sequence":"additional","affiliation":[{"name":"John von Neumann Faculty of Informatics, \u00d3buda University, Budapest, Hungary"}]},{"given":"Imre","family":"Felde","sequence":"additional","affiliation":[{"name":"John von Neumann Faculty of Informatics, \u00d3buda University, Budapest, Hungary"}]},{"given":"L\u00e1szl\u00f3","family":"N\u00e1dai","sequence":"additional","affiliation":[{"name":"K\u00e1lm\u00e1n Kand\u00f3 Faculty of Electrical Engineering, \u00d3buda University, Budapest, Hungary"}]}],"member":"179","reference":[{"key":"10.3233\/JCM-204186_ref1","unstructured":"National highway traffic safety administration, Traffic safety facts: Distracted driving 2011 (Report No. DOT HS 811 737), (2013)."},{"key":"10.3233\/JCM-204186_ref2","unstructured":"A. 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