indoctrinate 发表于 2025-3-28 14:47:44
Robin D. Rollingerontribute to society’s efficient production and development, particularly in optimising urban systems. This chapter aims to build a precise model to predict the number of freight vehicles in future timestamps based on historical data provided On-Board Unit (OBU) datasets in Belgium’s road networks.GRIEF 发表于 2025-3-28 20:25:51
Robin D. Rollingerers, such as the car’s speed, traffic, weather, and road status. This article investigates the correlations between driving attributes and proposes a multi-target prediction model to recognise driving patterns. For this, a pre-processing data approach, including Pearson’s Correlation Coefficient, QuPAEAN 发表于 2025-3-29 00:58:34
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http://reply.papertrans.cn/44/4301/430035/430035_45.png熄灭 发表于 2025-3-29 14:50:29
Robin D. Rollingerifically for sailing vessels and flying aircraft. Assuming that surveillance data monitoring their locations over a large geographical area is available in a streaming fashion, this novel methodology drops any predictable positions (along trajectory segments of “normal” motion characteristics) with