Suttipong Thajchayapong

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—This paper proposes a novel anomaly classification algorithm that can be deployed in a distributed manner and utilizes microscopic traffic variables shared by neighboring vehicles to detect and classify traffic anomalies under different traffic conditions. The algorithm, which incorporates multiresolution concepts, is based on the likelihood estimation of(More)
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