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Highway Incident Detection Research Based on Lipschitz Exponent Algorithm
Journal Title Journal of Networks
Journal Abbreviation jnw
Publisher Group Academy Publisher
Website http://ojs.academypublisher.com
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Title Highway Incident Detection Research Based on Lipschitz Exponent Algorithm
Authors Yang, Jian; Yu, Dan
Abstract 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%.
Publisher ACADEMY PUBLISHER
Date 2011-06-03
Source Journal of Networks Vol 6, No 6 (2011)
Rights Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. 

 

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