智能网联环境下近邻匝道交通耦合自组织方法

Self-organizing method for traffic coupling between adjacent ramps in intelligent and connected environments

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维普
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中文摘要：为改善智能网联环境下匝道合流区通行安全与效率问题,提出了一种近邻匝道交通耦合自组织方法,通过建立主线车流间隙与匝道车辆速度优化匹配模型,以实现对主线最外侧车道总体车头间距的优化调整,在保证汇入安全的前提下提升了近邻匝道内的车辆通行效率;选取重庆市内环快速路上东环立交附近2个近邻匝道为研究原型,利用在线地图结合无人机航拍以及定点摄像等数据采集方式对试验路段进行实地调查;在智能网联环境下,分别运用协同自适应巡航控制(CAC C)和交通耦合自组织方法(TCS),采用Python、SUM O和TraCI对试验路段车辆运行情况进行联合仿真.研究结果表明:相较于CACC,TCS的换道次数从65.52次降至52.64次,下降了19.87％,有效缓解了近邻匝道内的交通冲突;平均延误从24.53 s降至14.39 s,下降了 70.38％,其中平峰期降低了 77.71％,高峰期只降低了 34.50％,相较于高峰期,在平峰期的运行效率提升较大;时间占有率从18.70％降至8.63％,下降了 53.86％,不同车道间的时间占有率之差降低至6.00％,即车辆在不同车道上的分布更平均;平均速度从78.31 km·h 上升至80.78 km·h-1,提升了 3.06％,有效缓解了合流区和分流区附近的减速情况.

外文摘要：A self-organizing method for traffic coupling between adjacent ramps was proposed to improve traffic safety and efficiency in on-ramp merging areas in intelligent and connected environments.By establishing an optimal matching model between the mainline traffic flow gap and on-ramp vehicle speed,the overall headway of the outermost lane of the mainline was optimized and adjusted.On the premise of ensuring the safe merging of on-ramp vehicles,the traffic efficiency of vehicles between adjacent ramps was improved.Two adjacent ramps near the Donghuan overpass on the inner ring expressway in Chongqing were selected as the research prototype.Online map combined with drone aerial photography,fixed-point photography,and other data acquisition methods were used to conduct field investigations on the testing sections.In intelligent and connected environments,cooperative adaptive cruise control(CACC)and traffic coupling self-organizing(TCS)method were applied respectively,and Python,SUMO,and TraCI were used for co-simulation of vehicle operation on the test road.Research results show that compared with CACC,the lane changing number in TCS decreases by 19.87％from 65.52 to 52.64,which effectively alleviates the traffic conflict between adjacent ramps.The average delay decreases by 70.38％from 24.53 s to 14.39 s.To be specific,the average delay decreases by 77.71％in the off-peak period and 34.50％in the peak period,respectively.Compared with the peak period,the efficiency in the off-peak period is greatly improved.The time occupancy decreases by 53.86％from 18.70％to 8.63％.The time occupancy difference between different lanes decreases to 6.00％,that is,vehicles are more evenly distributed across different lanes.The average speed increases by 3.06％from 78.31 km·h-1to 80.78 km·h-1,which effectively alleviates the deceleration near the on-ramp merging and off-ramp diverging areas.2 tabs,9 figs,31 refs.

外文关键词：

traffic controltraffic efficiencyself-organizing methodadjacent rampintelligent and connectedaverage traffic delay

作者：

马庆禄、王欣宇、张书、段学锋

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作者单位：

重庆交通大学交通运输学院,重庆 400074

重庆交通大学智能综合立体交通重庆市重点实验室,重庆 400074

宁夏交投高速公路管理有限公司,宁夏银川 750000

关键词：

交通控制通行效率自组织方法近邻匝道智能网联平均交通延误

基金：

国家自然科学基金重庆市技术创新与应用发展专项宁夏回族自治区交通厅科技项目重庆交通大学研究生科研创新项目

项目编号：

52072054CSTB2022TIAD-STX0003NJGF20200301CYB23256

出版年：

2024

DOI：

10.19818/j.cnki.1671-1637.2024.02.014

交通运输工程学报

长安大学

交通运输工程学报

CSTPCD北大核心

影响因子：1.306

ISSN：1671-1637

年,卷(期)：2024.24(2)

参考文献量31