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作 者:周灿 王红[1] 卢华 朱顺应[1] 肖文彬[1] ZHOU Can;WANG Hong;LU Hua;ZHU Shunying;XIAO Wenbin(School of Transportation,Wuhan University of Technology,Wuhan Hubei 430063,China;Shenzhen Urban Transportation Planning Center,Shenzhen Guangdong 518052,China)
机构地区:[1]武汉理工大学交通学院,湖北武汉430063 [2]深圳市城市交通规划设计研究中心有限公司,广东深圳518052
出 处:《中国安全科学学报》2020年第3期122-128,共7页China Safety Science Journal
基 金:国家自然科学基金资助(71771183)。
摘 要:现阶段,静态边缘率用于车辆控速时,所有车速对应的边缘率周期长度和铺设总长度固定不变,其针对性弱,整体降速效果不强,为克服此缺陷,基于事故率与车速离散度呈正相关,构建车速离散度最小为目标函数的隧道路段动态控速边缘率模型;在高速公路长隧道中部路段安装边缘率动态控速系统,开展动态边缘率与交通流的智能联动实证研究;对比分析试验路段边缘率动态控速系统安装前后的断面车速差异。结果表明:基于动态边缘率控速模型所构建的隧道路段动态控速系统能够有效控速,其中超速比例下降16. 69%,85%位车速、平均车速、车速标准差分别下降6. 67%、7. 96%、13. 45%,且动态边缘率控速效果高于静态边缘率控速效果。Currently,when static edge rate is used for vehicle speed control,cycle length of edge rate period and total length of pavement corresponding to all vehicle speeds are fixed,so it is not well-targeted and achieves no obvious effects in speed reduction. In order to make up for this defect,a dynamic speed control edge rate model for tunnel segment was established with minimum vehicle speed dispersion as objective function based on the positive correlation between accident rate and vehicle speed dispersion.Then,speed control system of dynamic edge rate was installed in central section of long tunnel on expressways for intelligent linkage studies between dynamic edge rate and traffic flow. Finally,vehicle speeds with or without control system of dynamic edge rate were compared and analyzed. The results show that speed control system based on dynamic edge rate model for tunnel sections can effectively control it with overspeed ratio decreasing by 16. 69%,85 thpercentile speed,average speed and speed standard deviation decrease by 6. 67%,7. 96% and 13. 45% respectively,and its control effect is more remarkable than that of static edge rate.
关 键 词:长隧道 动态边缘率 动态控速 车速离散度 边缘率优化模型
分 类 号:X913.3[环境科学与工程—安全科学]
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