摘要
交通流混沌判定是研究交通流混沌的基础性关键问题.改进型替代数据法能够避免直接判定混沌方法的局限性.交通流仿真软件通过参数的变化容易获得希望得到的交通流状态,可以较全面方便地验证方法的有效性.因此对改进型替代数据法的算法实现进行了改进,利用某交通流仿真软件生成了一些不同情况下的交通流时间序列,应用改进型替代数据法对其进行了混沌判定,并与功率谱方法的判定结果进行了比较.实证结果表明,新的算法实现提高了计算速度,改进型替代数据法是判定交通流混沌的一种有效方法.
The identification of chaos phenomenon in traffic flow is a fundamental problem for research on chaos in traffic flow.The improved surrogate-data technique can avoid the limitation of directly identifying chaos.Through configurations of parameters in traffic flow simulation software,the expected traffic flow states can be achieved,and be used to verify the effectiveness of the method from different aspects.Therefore,the traffic flow simulation software was employed to generate traffic flow time series under different conditions.Based on improved implementation of the improved surrogate-data technique,the chaos in the generated time series were identified,and the results were compared with those of the power spectrum method.The experimental results show new algorithm implementation improves the speed of computation,and the improved surrogate-data technique is an effective method for identifying chaos in traffic flow.
出处
《武汉理工大学学报（交通科学与工程版）》
2011年第3期524-527,532,共5页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
基金
国家自然科学基金项目资助(批准号:50478088)
关键词
交通流
混沌判定
替代数据法
功率谱法
时间序列
关联维数
traffic flow
chaos identification
surrogate-data technique
power spectrum method
time series
correlation dimension
