期刊文献+

城市干线道路交通“拥挤态势指数”的确定 被引量:1

Determining Traffic State Evolution Index on Urban Arterial Road
下载PDF
导出
摘要 为对道路交通拥挤随着时间发展演化情况作出准确客观的描述,本文研究了城市干线道路交通'拥挤态势指数'的确定方法.以定点检测数据为基础,从定性和定量两个角度分别定义了5个拥挤指标,并按时间顺序将它们排列成交通拥挤态势描述'时间序列'.在对上述时间序列使用多元统计'降维'后,使用R/S分析法计算各序列的Hurst指数.据此验证多个指标间的时间序列趋势一致性,找到既能从定性角度又能从定量角度进行综合评价的指标作为'拥挤态势指数'.最后,以上海南北高架东侧上11天的定点检测数据为例进行实证分析,确定了因子1作为'拥挤态势指数'. To describe the traffic state evolution over time in an accurate and objective manner, this paper proposes the method to determine Traffic State Evolution Index on urban arterial road. Based on the fixedpoint data, five congestion indexes are defined from both quantitative and qualitative aspects. And they are arranged into"time series"in chronological sequence to reflect traffic state evolution. After these time-series' dimension are reduced by multivariate statistics method, the Hurst indexes are calculated using R/S analysis method. The results are utilized to test the consistence of time- series, and to find the synthetic indicator which can evaluate the status from two aspects of qualitative and quantitative as Traffic State Evolution Index. In the last section, the Loop Detector data from the eastern of Shanghai North-South expressway in 11days is taken as an example, and it is verified and concluded that factor 1 can be determined as Traffic State Evolution Index.
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2014年第3期64-69,共6页 Journal of Transportation Systems Engineering and Information Technology
基金 863计划项目(2007AA12Z242) 国家自然科学基金项目(50738004) 湖南省教育厅科学研究项目(13c1030)
关键词 交通工程 拥挤态势 R S分析 定点检测数据 traffic engineering traffic state evolution R/S analysis dual-loop detection data
  • 相关文献

参考文献10

二级参考文献18

  • 1汪富泉,罗朝盛,陈国先.G—P算法的改进及其应用[J].计算物理,1993,10(3):345-351. 被引量:27
  • 2关伟.交通拥堵发生时车道非同态性变化的仿真分析[J].系统仿真学报,2006,18(5):1339-1342. 被引量:7
  • 3姜桂艳,冮龙晖,王江锋.城市快速路交通拥挤识别方法[J].交通运输工程学报,2006,6(3):87-91. 被引量:46
  • 4王殿海,陈学文,杨绍辉,等.北京市快速路交通瓶颈分析[C] //第七届世界华人交通运输学术大会论文集.北京:人民交通出版社,2007:329-335.
  • 5DAGANZO C F.Fundamentals of Transportation and Traffic Operations[M].Oxford:Pergamon Press,1997.
  • 6CASSIDY M J,WINDOVER J R.Methodology for Assessing Dynamics of Freeway Traffic Flow[J].Transportation Research Record,1995,1484:73-79.
  • 7LAWSON T W,DAVID J L,DAGANZO C F.Using Input-Output Diagram To Determine Spatial and Temporal Extents of a Queue Upstream of a Bottleneck[J].Transportation Research Record,1996,1572:140-147.
  • 8CHEN,C,SKABARDONIS A,VARAIYA P.Systematic Identification of Freeway Bottlenecks[C] //Proceedings of 83rd Transportation Research Board Annual Meeting.Washington,D.C.:TRB,2004.
  • 9BERTINI R L,MYTON M.Using PeMS Data to Empirically Diagnose Freeway Bottleneck Locations in Orange County,California[J].Transportation Research Record,2005,1925:48-57.
  • 10ZHANG L, DAVID L. Some Properties of Flows at Freeway Bottlenecks [J ] .Transportation Research Record, 2004, 1883: 122-131.

共引文献66

同被引文献11

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部