<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-523G0TTP</identifier><date>2025</date><creator>Geng, Huijian</creator><creator>Wang, Xiliang</creator><relation>documents/doc/5/URN_NBN_SI_doc-523G0TTP_001.pdf</relation><relation>documents/doc/5/URN_NBN_SI_doc-523G0TTP_001.txt</relation><format format_type="issue">17</format><format format_type="volume">49</format><format format_type="type">article</format><format format_type="extent">str. 129-143</format><identifier identifier_type="DOI">10.31449/inf.v49i17.6703</identifier><identifier identifier_type="ISSN">1854-3871</identifier><identifier identifier_type="COBISSID">245896707</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-523G0TTP</identifier><language>eng</language><publisher publisher_location="Ljubljana">Informatika</publisher><source>Informatica (Ljubljana)</source><rights>BY</rights><subject language_type_id="slv">inteligentni nadzor</subject><subject language_type_id="slv">Kalmanov filter</subject><subject language_type_id="slv">promet</subject><subject language_type_id="slv">prometna vozlišča</subject><subject language_type_id="slv">prometni tok</subject><subject language_type_id="slv">umetna inteligenca</subject><title>Intelligent traffic flow predictive control based on multi-node bilateral control model in closed congested road scenarios</title></Record>