广西科学2016，Vol.23Issue(3)：216-222,7.DOI:10.13656/j.cnki.gxkx.20160713.005
交通瓶颈处局域密度时间序列的长程相关性
Long-range Correlation Analysis of Time Series at Traf-fic Bottleneck
摘要
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.Mo-reover,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 char-acteristics,where free-flow and wide moving j am have long-rang anti-correlation by simulation. The free-flow and wide moving j am reproduced by NaSch model have the long-rang anti-correla-tion characteristic,compared with the KKW model.[Conclusion]The traffic synchronized flow caused by traffic bottleneck has long-rang correlated characteristics.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Key words
traffic bottleneck/three phase traffic flow/R/S analysis/DFA analysis/correlation a-nalysis分类
交通工程引用本文复制引用
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):216-222,7.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。 （11262003）
