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">自动驾驶安全</a></li><li class="noselected"><a href="Paper.aspx?BYID=451 ">驾驶行为分析</a></li></ul> </div> </div> <div class="cl_right"> <style> .cl_right .cl_right_top { height: 40px; background-image: url(Images/cl_right_b1.jpg); background-repeat: no-repeat; background-position: 0 14px; width: 100%; border-bottom: 1px solid rgb(221,221,221); } .cl_right .cl_right_top div { margin-left: 20px; margin-top: 13px; } .cl_right .cl_right_top div label { font-size: 14px; color: #434343; font-weight: 600; } .cl_right .cl_right_top div a { color: #0C58AC; text-decoration: none; } .cl_right .cl_right_top div a:hover { text-decoration: underline; } </style> <div class="cl_right_top"> <div> <label> 您现在的位置：</label><p id="ctl00_ContentPlaceHolder1_PaperRight_topl1_P_DaoHang" style="display: inline"><a href="Default.aspx">首页</a> >> <a href="Paper.aspx">学术论文</a> >> <a href="Paper.aspx?BYID=450">自动驾驶安全</a></p> </div> </div> <div class="cl_right_middle"> <h1 id="ctl00_ContentPlaceHolder1_P_Title" class="cl_right_title">一种基于连续速度模型的拟人化自动驾驶速度控制策略</h1> <p class="cl_right_shijian"> 发表时间：<label id="ctl00_ContentPlaceHolder1_Label_Date">2022/1/28</label> 阅读次数：<label id="ctl00_ContentPlaceHolder1_Label_ReadCount">3359</label> </p> <div id="ctl00_ContentPlaceHolder1_DIV_NeiRong" class="cl_right_message"><P><SPAN id=ChDivSummary class=abstract-text style='FONT-SIZE: 14px; FONT-FAMILY: "Microsoft yahei"; WHITE-SPACE: normal; WORD-SPACING: 0px; TEXT-TRANSFORM: none; WORD-BREAK: break-all; FONT-WEIGHT: 400; COLOR: rgb(102,102,102); PADDING-BOTTOM: 0px; FONT-STYLE: normal; TEXT-ALIGN: justify; PADDING-TOP: 0px; PADDING-LEFT: 0px; ORPHANS: 2; WIDOWS: 2; MARGIN: 0px; DISPLAY: inline; LETTER-SPACING: normal; LINE-HEIGHT: 26px; PADDING-RIGHT: 0px; BACKGROUND-COLOR: rgb(255,255,255); TEXT-INDENT: 0px; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial' name="ChDivSummary">摘要：在自由流条件下的高速公路上行驶是自动驾驶车辆的一个重要应用场景,这需要适宜的速度控制策略,尤其在具有复杂道路线形的山区高速公路,需要确保车辆行驶速度与自动驾驶车辆的驾驶员及乘客的速度预期相当。目前常见的速度控制策略将基准速度设置为接近限速的恒定速度,并在车辆横向加速度大于极限值时降低车速以通过小半径曲线,这种控制策略缺乏考虑人类驾驶员根据道路线形不断调整速度的行为规律。针对这一局限性,本文研究了复杂线形道路上驾驶员的速度选择行为,提出了一种满足自动驾驶驾驶员及乘客期望的拟人化速度控制策略。通过对比传统策略与拟人化策略在四段复杂线形路段的速度曲线,发现拟人化策略更能适应山区高速公路驾驶的要求,可以为自动驾驶相关企业提供一种速度控制的基准。 </SPAN></P><P><SPAN class=abstract-text style='FONT-SIZE: 14px; FONT-FAMILY: "Microsoft yahei"; WHITE-SPACE: normal; WORD-SPACING: 0px; TEXT-TRANSFORM: none; WORD-BREAK: break-all; FONT-WEIGHT: 400; COLOR: rgb(102,102,102); PADDING-BOTTOM: 0px; FONT-STYLE: normal; TEXT-ALIGN: justify; PADDING-TOP: 0px; PADDING-LEFT: 0px; ORPHANS: 2; WIDOWS: 2; MARGIN: 0px; DISPLAY: inline; LETTER-SPACING: normal; LINE-HEIGHT: 26px; PADDING-RIGHT: 0px; BACKGROUND-COLOR: rgb(255,255,255); TEXT-INDENT: 0px; font-variant-ligatures: normal; font-variant-caps: normal; -webkit-text-stroke-width: 0px; text-decoration-style: initial; text-decoration-color: initial' name="ChDivSummary">陈志贵,王雪松,李平凡. 一种基于连续速度模型的拟人化自动驾驶速度控制策略[C]//第十六届中国智能交通年会科技论文集.,2021:500-507.DOI:10.26914/c.cnkihy.2021.045563.</SPAN></P></div> <div class="cl_right_nextpre"> <ul id="ctl00_ContentPlaceHolder1_DIV_nextpre"><li> <a href="PaperContent.aspx?BYID=450&ID=1347" >♦人车冲突场景的自动驾驶责任敏感安全模型标定</a></li><li> <a href="PaperContent.aspx?BYID=450&ID=1349" >♦基于多源数据的山区高速公路事故影响因素及主动管控研究</a></li></ul> </div> </div> </div> </div> </div> <div id="bottom"> <p> ©CopyRight 2003-2012 同济大学交通运输工程学院 </p> <p> <script language="javascript" type="text/javascript" src="http://js.users.51.la/15629868.js"></script> <noscript> <a href="http://www.51.la/?15629868" target="_blank"> <img alt="我要啦免费统计" src="http://img.users.51.la/15629868.asp" style="border: none" /></a></noscript></p> <p> 备案号：<a href="https://beian.miit.gov.cn" target="_blank" style="color:#000">沪ICP备13005359号-1</a> <script type="text/javascript"> function checkRoot(user) { if (!user) { //window.parent.location.href = "index.html"; } } 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