Entropy-Based City Tunnel Real-Time Traffic Incident Detection Clustering Algorithm
2013 ◽
Vol 380-384
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pp. 753-756
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The use of spatial clustering technology has important practical significance to obtain useful information. According to the characteristics of city tunnel real-time traffic ,then, put forward ECRT (Entropy-based City Tunnel Real-time), the object associated with the city tunnel as real-time traffic properties to calculate the entropy of information between the city tunnel, based on information entropy change to achieve real-time traffic urban tunnel clustering. Algorithm used in the actual data set ECRT test. The results showed that the algorithm ECRT is effective.
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2016 ◽
Vol 67
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pp. 321-342
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2019 ◽
Vol 56
(3)
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pp. 1119-1132
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