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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">JARD</journal-id><journal-title-group><journal-title>Journal of Architectural Research and Development</journal-title></journal-title-group><issn>2208-3529</issn><eissn>2208-3537</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/jard.v6i2.3707</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on Front-End Fusion Processing Technology of Traffic Scenes</title><url>https://artdesignp.com/journal/JARD/6/2/10.26689/jard.v6i2.3707</url><author>ZhouXin</author><pub-date pub-type="publication-year"><year>2022</year></pub-date><volume>6</volume><issue>2</issue><history><date date-type="pub"><published-time>2022-03-04</published-time></date></history><abstract>With the intelligent development of road traffic control and management, higher requirements for the accuracy and effectiveness of traffic data have been put forward. The issue of how to collect and integrate data for traffic scenes has sought importance in this field as various treatment technologies have emerged. 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