• Detection and evaluation of driver distraction using machine learning and fuzzy logicAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIEEE Transactions on Intelligent Transportation Systems2019 / p. 2048 - 2059 https://doi.org/10.1109/TITS.2018.2857222 https://www.scopus.com/sourceid/18378 https://www.scopus.com/record/display.uri?eid=2-s2.0-85052713176&origin=inward&txGid=fd3034becbdf270425f050cddefcb597 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IEEE%20T%20INTELL%20TRANSP&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000470039700006
• Driver distraction while performing a secondary task evaluation approach based on fuzzy expert systemAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, Martin2017 / p. 1-27 : ill https://www.etis.ee/File/DownloadPublic/9fe35346-efcf-4429-af04-ba8325dc1480?name=GSVF2017-Aksjonov.pdf&type=application%2Fpdf https://www.gsvf.at/index.php/en/program-2017
• A method of driver distraction evaluation using fuzzy logic : phone usage as a driver's secondary activity : case studyAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinProceedings : IACAT 2017 : XXVI International Conference on Information, Communication and Automation Technologies, October 26-28, 2017, Sarajevo, Bosnia-Herzegovina2017 / 6 p. : ill https://doi.org/10.1109/ICAT.2017.8171599
• A Novel driver performance model based on machine learningAksjonov, Andrei; Nedoma, Pavel; Vodovozov, Valery; Petlenkov, Eduard; Herrmann, MartinIFAC-PapersOnLine2018 / p. 267-272 : ill http://dx.doi.org/10.1016/j.ifacol.2018.07.044