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机构地区:[1]深圳市城市交通规划设计研究中心,广东深圳518000 [2]同济大学交通运输工程学院,上海201804 [3]长沙理工大学智能交通与车路协同技术研究所,长沙410004
出 处:《交通信息与安全》2013年第2期134-139,148,共7页Journal of Transport Information and Safety
基 金:国家自然科学基金项目(批准号:11272067)资助
摘 要:车路协同环境是利用无线通信技术、电子信息技术等高新技术建立的新颖交通环境,其以车车、车路通信为基础,有效实现了信息在系统内部的快速、准确、有效的传输,弥补了目前交通基础数据实时性、可靠性等方面存在不足。利用车路协同环境下,在单车车速引导的基础上,以交叉口整体效益最佳为目标,提出信号交叉口多车协同车速引导模型,以最大限度地降低交叉口车均延误,减少平均停车次数,提高绿灯时间利用率。同时,以上海市曹安路-绿苑路交叉口为例进行仿真验证,研究结果表明,相比于单车引导而言,多车协同引导可适用于高、中、低等不同饱和状态,且可有效降低交叉口车均延误及平均停车次数。'Connected Vehicles(CV)' is a new transport environment that builds itself with advanced technology such as wireless and electronic communication.Based on vehicle-to-vehicle and vehicle-to-road communication,CV can rapidly,accurately and effectively collect and transmit traffic information in a system.Thus,it provides a solution to the problem of the shortage of basic traffic data.Under the environment of ' Connected Vehicles ',using single vehicle speed guidance as the basis,this paper proposes multi-vehicle cooperative speed guidance model,which can be used at intersections to reduce the average vehicle delay at intersections,and decrease the average number of vehicle stops and improve the efficiency of green time.A simulation study is implemented for the intersection between Caoan Road and Luyuan Road in Shanghai and the study results show that the proposed multi-vehicle cooperative speed guidance system can be used in different saturation scenarios,such as high,medium and low.Moreover,it can effectively reduce the average vehicle delay and number of vehicle stops at intersections.
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