城市过江通道交通流速度和密度关系研究
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摘要
为确定城市过江通道交通流特性是否符合经典的速度-密度关系模型,研究了四川泸州市沱江一桥上的过江交通流。利用视频检测技术,获取了包含高峰期、平峰期等各种交通运行状态的交通流流量、速度数据,经过数据清洗、转换后,对速度和密度数据进行了回归分析和显著性检验,并计算得到了交通流特征参数自由流速度和阻塞密度。结果显示,城市过江通道的进城方向更适宜Greenshields的线性关系模型,出城方向更适宜Underwood的指数关系模型。桥头段和桥中段交通流特征参数的差异性,表明了桥头交织段规划、设计与管理对提高过江桥梁衔接段通行能力的重要性,相关部门应合理组织进城方向下游、出城方向上游的交通流,以改善区域交通运行质量。
In order to determine whether traffic flow characteristics of urban river-crossing passage are consistent with the classical models of speed-density,the traffic flows on the First Luzhou Tuojiang River Bridge are researched.Video detection technology is used to obtain traffic flow and speed data including all kinds of traffic conditions,such as during fastigium and normal period.After data cleaning and conversion,speed and density data are regressive analyzed,significance test is made,and traffic flow characteristic parameters,such as free-flow speed and jam density,are calculated.The results show that the linear model of Greenshields is more suitable for the direction of entering cities of urban river-crossing passage,while the exponential model of Underwood is more suitable for the direction of leaving cities.The difference of traffic flow characteristic parameters between bridge approaches and bridge mid pieces show that government departments should pay attention to the planning,design and management of the weaving segment on bridge approaches to improve the traffic capacity of cohesive segment of river-crossing bridge and organize reasonably the traffic flows of the downstream section of entering cities and the upstream section of leaving cities.
In order to determine whether traffic flow characteristics of urban river-crossing passage are consistent with the classical models of speed-density,the traffic flows on the First Luzhou Tuojiang River Bridge are researched.Video detection technology is used to obtain traffic flow and speed data including all kinds of traffic conditions,such as during fastigium and normal period.After data cleaning and conversion,speed and density data are regressive analyzed,significance test is made,and traffic flow characteristic parameters,such as free-flow speed and jam density,are calculated.The results show that the linear model of Greenshields is more suitable for the direction of entering cities of urban river-crossing passage,while the exponential model of Underwood is more suitable for the direction of leaving cities.The difference of traffic flow characteristic parameters between bridge approaches and bridge mid pieces show that government departments should pay attention to the planning,design and management of the weaving segment on bridge approaches to improve the traffic capacity of cohesive segment of river-crossing bridge and organize reasonably the traffic flows of the downstream section of entering cities and the upstream section of leaving cities.
引文
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[16]董春娇,邵春福,诸葛承祥,等.基于实测数据的快速路交通流参数模型[J].交通运输系统工程与信息,2013,13(3):46-52.DONG Chunjiao,SHAO Chunfu,ZHUGE Chengxiang,et al.Estimating traffic flow models for urban expressway based on measurement data[J].Journal of Transportation Systems Engineering and Information Technology,2013,13(3):46-52.
[17]翟会君,翟亚锋,朱涛,等.基于回归-ELM神经网络模型的滑坡变形及失稳预测模型[J].河北工业科技,2017,34(6):440-447.ZHAI Huijun,ZHAI Yafeng,ZHU Tao,et al.Prediction model of landslide deformation and instability based on regression-ELM neural network model[J].Hebei Journal of Industrial Science and Technology,2017,34(6):440-447.
[2]卢银桃,尹海伟.南京过江通道建设对江北沿江地区可达性的影响[J].国际城市规划,2013,28(2):69-74.LU Yintao,YIN Haiwei.Accessibility in uence on north bank of Yangtze River in Nanjing from building river-crossing passage[J].Urban Planning International,2013,28(2):69-74.
[3]马淑梅.绕城高速公路交通流特征及交通流模型研究[D].兰州:兰州交通大学,2016.MA Shumei.The Belt Freeway Traffic Flow Characteristics and Traffic Flow Model Research[D].Lanzhou:Lanzhou Jiaotong University,2016.
[4]张存保,万平,梅朝辉,等.雨天环境下高速公路交通流特性及模型研究[J].武汉理工大学学报,2013,35(3):63-67.ZHANG Cunbao,WAN Ping,MEI Chaohui,et al.Traffic flow characteristics and models of freeway under rain weather[J].Journal of Wuhan University of Technology,2013,35(3):63-67.
[5]孙煦,陆化普,吴娟.北京市快速路速度-流量-密度关系研究[J].公路工程,2012,37(1):43-48.SUN Xu,LU Huapu,WU Juan.Research on speed-flow-density relationship model of Beijing urban expressway[J].Highway Engineering,2012,37(1):43-48.
[6]赵娜乐.基于物理属性的城市快速路交通流特征参数模型[D].北京:北京交通大学,2010.ZHAO Nale.Traffic Flow Characteristic Parameter Models of Urban Expressways Based on Physical Properties[D].Beijing:Beijing Jiaotong University,2010.
[7]PARK S,RITCHIE S G.Exploring the relationship between freeway speed variance,lane changing,and vehicle heterogeneity[C]//Proceedings of the 83rd Annual Meeting of Transportation Research Board.Washington DC:TRB,2004:9-13.
[8]李悦,陆化普,蔚欣欣.城市快速路交通流特性分析[J].公路工程,2013,38(6):87-91.LI Yue,LU Huapu,YU Xinxin.Research on traffic flow characteristics of urban expressway[J].Highway Engineering,2013,38(6):87-91.
[9]邵春福,肖崇紫,王博彬,等.最小安全间距约束下拥挤交通流速度-密度关系模型[J].交通运输工程学报,2015,15(1):92-99.SHAO Chunfu,XIAO Chongzi,WANG Bobin,et al.Speeddensity relation model of congested traffic flow under minimum safety distance constraint[J].Journal of Traffic and Transportation Engineering,2015,15(1):92-99.
[10]徐程,陈晓明.交通流速度-密度模型特性分析[J].公路交通科技,2014,31(2):114-120.XU Cheng,CHEN Xiaoming.Analysis of characteristics of traffic flow speed-density relation model[J].Journal of Highway and Transportation Research and Development,2014,31(2):114-120.
[11]泸州市统计局.泸州统计年鉴2016[M].北京:中国统计出版社,2017.
[12]刘冬,曹雪山,苗选.基于潮汐交通的可变车道分流带设置研究[J].河北工业科技,2014,31(5):372-377.LIU Dong,CAO Xueshan,MIAO Xuan.Research on tidal traffic based variable lane isolation belt setting[J].Hebei Journal of Industrial Science and Technology,2014,31(5):372-377.
[13]王晓宁,吴志涛.低密度区高速公路平直段交通流速度和流量关系研究[J].公路交通科技,2014,31(11):130-136.WANG Xiaoning,WU Zhitao.Research of speed-volume relationship of expressway straight section in low-density area[J].Journal of Highway and Transportation Research and Development,2014,31(11):130-136.
[14]孙宇星,陈德望,吴建平.北京市快速环路速度-密度模型研究[J].北京交通大学学报,2004,28(6):70-73.SUN Yuxing,CHEN Dewang,WU Jianping.Research on traffic stream speed-sensity model of Beijing urban expressway[J].Journal of Beijing Jiaotong University,2004,28(6):70-73.
[15]曹亚康,刘立英,王卫卫.城市快速路交通流速度-密度模型研究[J].物流技术,2013,32(7):166-169.CAO Yakang,LIU Liying,WANG Weiwei.Study on speeddensity model of traffic flow on urban freeways[J].Logistics Technology,2013,32(7):166-169.
[16]董春娇,邵春福,诸葛承祥,等.基于实测数据的快速路交通流参数模型[J].交通运输系统工程与信息,2013,13(3):46-52.DONG Chunjiao,SHAO Chunfu,ZHUGE Chengxiang,et al.Estimating traffic flow models for urban expressway based on measurement data[J].Journal of Transportation Systems Engineering and Information Technology,2013,13(3):46-52.
[17]翟会君,翟亚锋,朱涛,等.基于回归-ELM神经网络模型的滑坡变形及失稳预测模型[J].河北工业科技,2017,34(6):440-447.ZHAI Huijun,ZHAI Yafeng,ZHU Tao,et al.Prediction model of landslide deformation and instability based on regression-ELM neural network model[J].Hebei Journal of Industrial Science and Technology,2017,34(6):440-447.