文章基本信息

标题：Highway Incident Detection Research Based on Lipschitz Exponent Algorithm
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作者：Yu, Dan ; Yang, Jian
期刊名称：Journal of Networks
印刷版ISSN：1796-2056
出版年度：2011
卷号：6
期号：6
页码：923-927
DOI：10.4304/jnw.6.6.923-927
语种：English
出版社：Academy Publisher
摘要：The characteristic of traffic flow on highway is analyzed in this paper firstly. According to Catastrophe Theory, the function of occupancy time and volume is established. Then a highway traffic incident detection method based on Lipschitz exponent is advanced by using Wavelet Theory, whose core is to judge the singular points of traffic flow accurately. When the value of Lipschitz exponent is near to “one”, the singularity character of traffic flow function is in the pink and the probability of traffic incident is more. Take the data of Changchang-highway as an example, the superiority of the new method advanced is testified. The result shows that the false alarm rate is only 2.1% and the delay time is 12mins, when the detection rate is 95%.
关键词：traffic engineering, incident detection, Lipschitz exponent, catastrophe, safety