Highway Incident Detection Research Based on Lipschitz Exponent Algorithm
نویسندگان
چکیده
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 Changchanghighway 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%.
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ورودعنوان ژورنال:
- JNW
دوره 6 شماره
صفحات -
تاریخ انتشار 2011