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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">JERA</journal-id><journal-title-group><journal-title>Journal of Electronic Research and Application</journal-title></journal-title-group><issn>2208-3502</issn><eissn>2208-3510</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/jera.v8i5.8431</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Cooperative Adaptive Cruise Control Platoon Fleet Formation Model Considering Efficiency and Stability</title><url>https://artdesignp.com/journal/JERA/8/5/10.26689/jera.v8i5.8431</url><author>LiShunli,WangZengqiang</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>8</volume><issue>5</issue><history><date date-type="pub"><published-time>2024-10-02</published-time></date></history><abstract>In the existing formation model, vehicles in the same lane or adjacent lane are regarded as the structure, and the driving behavior of vehicles is studied from the perspectives of safety, speed consistency, and stability, and the speed control model is proposed from the perspective of vehicles themselves, to obtain a stable fleet with the same distance and speed. However, in this process, the initial condition of the vehicle, the traffic flow environment, and the efficiency of the fleet formation are less considered. Therefore, based on summarizing the existing fleet building model, this paper puts forward the rapid construction model and algorithm of a cooperative adaptive cruise control platoon fleet. One of the important goals of forming a team is to enter the team with the smoothest trajectory in the shortest time. Therefore, this chapter studies the trajectory optimization of the vehicle formation process from the perspective of vehicle dynamics.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Wang J, Zheng Y, Xu Q, et al., 2020, Controllability Analysis and Optimal Control of Mixed Traffic Flow with Human-driven and Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems, 22(12): 7445–7459.</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>Xie D, Zhao X, He Z, 2018, Heterogeneous Traffic Mixing Regular and Connected Vehicles: Modeling and Stabilization. IEEE Transactions on Intelligent Transportation Systems, 20(6): 2060–2071.</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>Zhang Y, Zhao M, Sun D, et al., 2021, An Extended Continuum Mixed Traffic Model. Nonlinear Dynamics, 103: 1891–1909.</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>Zhu W, Zhang H, 2018, Analysis of Mixed Traffic Flow with Human-driving and Autonomous Cars based on Car-following Model. Physica A, 496: 274–285.</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>Zong F, Wang M, Tang J, et al., 2022, Modeling AVs &amp; RVs Car-following Behavior by Considering Impacts of Multiple Surrounding Vehicles and Driving Characteristics. Physica A, 589: 126625.</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>Wang L, Horn BKP, 2020, On the Stability Analysis of Mixed Traffic with Vehicles under Car-following and Bilateral Control. IEEE Transactions on Automatic Control, 65(7): 3076–3083.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
