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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">JWA</journal-id><journal-title-group><journal-title>Journal of World Architecture</journal-title></journal-title-group><issn>2208-3480</issn><eissn>2208-3499</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/jwa.v8i6.9228</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Research on the Optimization Control Method of Inbound Traffic Flow on On-ramp</title><url>https://artdesignp.com/journal/JWA/8/6/10.26689/jwa.v8i6.9228</url><author>LiYun,WangZengqiang</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>6</issue><history><date date-type="pub"><published-time>2024-12-31</published-time></date></history><abstract>This study aims to optimize the inbound traffic flow on on-ramps by considering low time costs, good speed stability, and high driving safety for mixed traffic flow. The optimal inlet gap is identified in advance, and trajectory guidance for vehicles entering the gap is determined under safety constraints. Based on the initial state and sequence of vehicles entering the merging area, individual vehicle trajectories are optimized sequentially. An optimization model and method for ramp entry trajectories in mixed traffic flow are developed, incorporating on-ramp vehicle entry sequencing and ordinary vehicle trajectory prediction. Key performance indicators, including driving safety, total travel time, parking wait probability, and trajectory smoothness, are compared and analyzed to evaluate the proposed approach.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Chen T, Wang M, Gong S, et al., 2021, Connected and Automated Vehicle Distributed Control for On-ramp Merging Scenario: A Virtual Rotation Approach. Transportation Research Part C Emerging Technologies, 133: 103451.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Yang C, Chen XD, Lin X, et al., 2022, Coordinated Trajectory Planning for Lane-Changing in the Weaving Areas of Dedicated Lanes for Connected and Automated Vehicles. Transportation Research Part C, 144: 103864.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Xu L, Lu J, Ran B, et al., 2019, Cooperative Emerging Strategy for Connected Vehicles at Highway On-Ramps. Journal of Transportation Engineering, Part A: Systems, 145(6): 04019022.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Zhou Y, Cholette ME, Bhaskar A, et al., 2019, Optimal Vehicle Trajectory Planning with Control Constraints and Recursive Implementation for Automated On-Ramp Merging. IEEE Transactions on Intelligent Transportation Systems, 20(9): 3409–3420.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Rada SR, Farah H, Taale H, et al., 2021, The Impact of a Dedicated Lane for Connected and Automated Vehicles on the Behaviour of Drivers of Manual Vehicles. Transportation Research Part F: Psychology and Behaviour, 82: 141–153.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Woo S, Skabardonis A, 2021, Flow-Aware Platoon Formation of Connected Automated Vehicles in Mixed Traffic with Human-driven Vehicles. Transportation Research Part C, 133: 103442.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
