Accurate traffic flow data is crucial for traffic control and management in an intelligent transportation system (ITS), and thus traffic flow prediction research attracts significant attention in the transportation community. Previous studies have suggested that raw traffic flow data may be contaminated by noises caused by unexpected reasons (e.g., loop detector damage, roadway maintenance, etc.), which may degrade traffic flow prediction accuracy. To address this issue, we proposed an ensemble framework via ensemble empirical mode decomposition (EEMD) and artificial neural network (ANN) to predict traffic flow under different time intervals ahead. More specifically, the proposed framework firstly employed the EEMD model to suppress the noises in the raw traffic data, which were then processed to predict traffic flow at time steps under different time scales (i.e., 1, 2, and 10 min). We verified our model performance on three loop detectors’ data, which were supported by the Department of Transportation, Minnesota. The research findings can help traffic participants collect more accurate traffic flow data and thus benefits transportation practitioners by helping them to make more reasonable traffic decisions.
Abstract. "A drama plays in the image, never tired of seeing; good words come from mouth, to meet people's desire." Auspicious art has been active in the art of this family, swimming in the elegant and vulgar, penetrating into life. Whether in the aspects of aesthetic and decoration, or in the psychological and spiritual, it is loved by public due to its unique form and content. Ming and Qing dynasties are the golden age of development of Jingdezhen ceramic, blue and white, bucket color, pink, pastels, enamel contest each other, although all of them have different kinds of color, but its contents are based on auspicious patterns. This paper will start from the origin of auspicious and auspicious patterns, to explore the application of auspicious patterns in ceramic decoration in Ming and Qing Dynasties and humanities behind it.
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