摘要
为探究城市道路不同行车道汽车运行特性,在烟台市滨海东路进行汽车运行速度样本测试试验,采用AxleLight RLU11系列路侧交通数据采集系统分车道采集试验路段汽车运行速度及车头时距样本,利用SPSS软件对试验路段不同车道运行速度样本及车头时距进行统计处理,分别绘制了不同车道运行速度及车头时距累积频率曲线,计算得到不同车道运行速度V85及车头时距T85。结果显示:试验路段内侧车道运行速度V85比外侧车道运行速度V85大,内侧车道车头时距T85比外侧车道车头时距T85小。建立了内侧车道和外侧车道车头时距T与运行速度V的关系模型,基于试验路段内外两条车道运行速度V85及车头时距T85不同,城市道路不同车道的限速值也应采取不同的限速标准,采用不同的限速标准使得内侧车道交通流能够高速运行,提高城市道路通行能力,减少城市道路拥堵问题。
In order to explore vehicle operating characteristics of different lanes of urban roads,a vehicle running speed sample test is conducted in Binhai East Road,Yantai City.An AxleLight RLU11 series roadside traffic data acquisition system is used to collect the test speed of the vehicle and the headway distance sample of the test section.The SPSS software statistically processed the different lane running speed samples and the headway distance of the test sections,and plotted the cumulative speed curves of different lanes and the headway time interval respectively,and calculated the different lane running speeds V85 and the headway distance T85.The results show that the inner lane running speed V85 is larger than the outer lane running speed V85,and the inner lane headway distance T85 is smaller than the outer lane headway distance T85.The relationship model between the headway T and running speed V of the inside lane and the outside lane is established.Based on the difference between the two lanes running speed V85 and the headway distance T85 inside and outside the test section,the speed limit value of different lanes of the urban roads should also adopt different speed limit standards,different speed limit standards to enable the inner lane traffic flow to run at high speed,improve urban road traffic capacity,and reduce urban road congestion.
作者
路一
田林
寇越
孙超
Lu Yi;Tian Lin;Kou Yue;Sun Chao(Weihai Ocean Vocataonal College,Weihai 264300,China;School of Civil Engineering,Yantai University,Yantai 264005,China)
出处
《南京理工大学学报》
EI
CAS
CSCD
北大核心
2020年第4期488-492,共5页
Journal of Nanjing University of Science and Technology
基金
国家自然科学基金(51508033)
威海市智慧海洋渔业装备工程技术研究中心2019年科研开放专项资金项目(WSOFE-2019-0003)。