| 引用本文： |
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贾丽斯,盘薇,陈栋,薛郁.交通瓶颈处局域密度时间序列的长程相关性[J].广西科学,2016,23(3):216-222. [点击复制]
- JIA Lisi,PAN Wei,CHEN Dong,XUE Yu.Long-range Correlation Analysis of Time Series at Traffic Bottleneck[J].Guangxi Sciences,2016,23(3):216-222. [点击复制]
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| 摘要: |
| [目的]为研究交通相的相关特性,对交通瓶颈处的交通数据作长程相关性分析。[方法]利用元胞自动机建立含有局部缩减道路的三相交通流KKW模型,对交通瓶颈处3个交通相的流量、速度及密度的时间序列进行研究:分别应用R/S分析方法和去趋势涨落分析(DFA)方法对交通瓶颈附近局域密度的时间序列作长程相关性分析,并与交通流元胞自动机NaSch模型的长程相关性分析结果进行比较。[结果]交通同步流的局域密度具有长程相关性,在自由流和宽运动堵塞时对应的局域密度时间序列具有长程反相关。而NaSch模型模拟的局域密度序列无论是自由流还是交通拥堵都呈现长程反相关。[结论]交通瓶颈处呈现交通同步流,且交通同步流具有长程相关性。 |
| 关键词: 交通瓶颈 三相交通流 R/S分析 去趋势涨落分析(DFA) 长程相关性 |
| DOI：10.13656/j.cnki.gxkx.20160713.005 |
| 投稿时间：2016-03-15修订日期：2016-05-10 |
| 基金项目:国家自然科学基金项目(11262003),广西自然科学基金项目(20140593),广西研究生创新项目(YCSZ2012013)和广西大学行健文理学院基金项目(2015ZKLX04)资助。 |
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| Long-range Correlation Analysis of Time Series at Traffic Bottleneck |
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JIA Lisi1,2, PAN Wei3, CHEN Dong4, XUE Yu1
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| (1.College of Physical Science and Engineering, Guangxi University, Nanning, Guangxi, 530004, China;2.Xingjian College of Science and Liberal Arts, Guangxi University, Nanning, Guangxi, 530005, China;3.Department of Architectural and Civil Engineering, City University of Hong Kong, Hong Kong, China;4.College of Automation, Chongqing University, Chongqing, 400044, China) |
| Abstract: |
| [Objective] The different phases of traffic are identified via performing the long-range correlation for traffic time series at traffic bottleneck.[Methods] Based on the Kerner-Klenov-Wolf (KKW) cellular automaton traffic model,a two-lane traffic model with partial reduced lane is proposed.The rescaled range analysis (R/S) method and detrended fluctuation analysis (DFA) method were performed for analyzing local density time series at traffic bottleneck.Moreover,NaSch traffic model was used to carry out similarity discussions.[Results] It is found that traffic synchronized flow emerges at a traffic bottleneck and has long-rang correlated characteristics,where free-flow and wide moving jam have long-rang anti-correlation by simulation.The free-flow and wide moving jam reproduced by NaSch model have the long-rang anti-correlation characteristic,compared with the KKW model.[Conclusion] The traffic synchronized flow caused by traffic bottleneck has long-rang correlated characteristics. |
| Key words: traffic bottleneck three phase traffic flow R/S analysis DFA analysis correlation analysis |
