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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2518-1092</journal-id><journal-title-group><journal-title>Research result. Information technologies</journal-title></journal-title-group><issn pub-type="epub">2518-1092</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2518-1092-2025-10-2-0-7</article-id><article-id pub-id-type="publisher-id">3823</article-id><article-categories><subj-group subj-group-type="heading"><subject>ARTIFICIAL INTELLIGENCE AND DECISION MAKING</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;AUTOMATIC PARSING TRAFFIC ACCIDENTS BASED&amp;nbsp;ON MULTIMODAL DATA ANALYSIS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;AUTOMATIC PARSING TRAFFIC ACCIDENTS BASED&amp;nbsp;ON MULTIMODAL DATA ANALYSIS USING ARTIFICIAL INTELLIGENCE TECHNOLOGIES&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Basov</surname><given-names>Oleg Olegovich</given-names></name><name xml:lang="en"><surname>Basov</surname><given-names>Oleg Olegovich</given-names></name></name-alternatives><email>o.basov@acti.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Ofiserov</surname><given-names>Aleksandr Ivanovich</given-names></name><name xml:lang="en"><surname>Ofiserov</surname><given-names>Aleksandr Ivanovich</given-names></name></name-alternatives><email>oficerow@mail.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2025</year></pub-date><volume>10</volume><issue>2</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/information/2025/2/НР.ИТ_10.2_7.pdf" /><abstract xml:lang="ru"><p>The paper proposes to automate and intellectualize the task of analyzing traffic accidents. To do this, the data presented in different modalities, which is important for analysis, is automatically fed into an intelligent system, where it is interpreted, synchronized in time and space, and combined to make a final decision. The implementation of each of the procedures for the automatic analysis of a traffic accident requires an unambiguous definition of the type, volume and semantics of the information coming from the objects of supervision. The results received in work testify to prospects of the chosen approach to the solution of a problem of automatic analysis of road accidents on the basis of the multimodal analysis of data with use of technologies of artificial intelligence.</p></abstract><trans-abstract xml:lang="en"><p>The paper proposes to automate and intellectualize the task of analyzing traffic accidents. To do this, the data presented in different modalities, which is important for analysis, is automatically fed into an intelligent system, where it is interpreted, synchronized in time and space, and combined to make a final decision. The implementation of each of the procedures for the automatic analysis of a traffic accident requires an unambiguous definition of the type, volume and semantics of the information coming from the objects of supervision. The results received in work testify to prospects of the chosen approach to the solution of a problem of automatic analysis of road accidents on the basis of the multimodal analysis of data with use of technologies of artificial intelligence.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>traffic accident</kwd><kwd>interpretation</kwd><kwd>multimodality</kwd><kwd>automatic parsing</kwd><kwd>intellectual support of decision-making</kwd></kwd-group><kwd-group xml:lang="en"><kwd>traffic accident</kwd><kwd>interpretation</kwd><kwd>multimodality</kwd><kwd>automatic parsing</kwd><kwd>intellectual support of decision-making</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Goryushinsky V.S., Bichakhchyan A.V., Shatskikh E.V. 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