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The Application of Data Mining Technologies on Commercial Vehicle GPS Data - A Case Study on Formosa Plastics Transport Corp., Taiwan

机译:数据挖掘技术在商用车GPS数据中的应用-以台湾台塑公司为例

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The cost of commercial vehicle operation includes fuel, vehiclepurchase/replacement/maintenance, and driver/staff, ...,etc.Among these costs, fuel is theone that is not only cost-concerned but also environment-concerned. The fuelconsumption is highly correlated with the vehicle traveling distance and driving behaviorpatterns and the emission of carbon dioxide (CO2) from the vehicle operations is onemajor contributing factor to the greenhouse effect that all human beings are suffering.How to utilize vehicles more efficiently in terms of time and travelling distance andreduce the carbon dioxide emission has become an important issue. Not to mention thatmany countries / areas have taken acts such as new laws for emission limitations toprotect the environment.Advanced technologies such as Global Positioning Systems (GPS) can generate thereal-time location information of commercial vehicles. These data, analyzed byappropriate data mining technologies, can be used for fleet management systems such as
机译:商用车的运营成本包括燃料,车辆 在这些费用中,燃料是 这不仅与成本有关,而且与环境有关。燃料 消费与车辆的行驶距离和驾驶行为高度相关 模式和车辆操作产生的二氧化碳(CO2)排放是一种 导致全人类遭受温室效应的主要因素。 如何在时间和行驶距离方面更有效地利用车辆 减少二氧化碳排放量已成为重要问题。更不用说 许多国家/地区都采取了新的法案,例如针对排放限制的新法律。 保护环境。 全球定位系统(GPS)等先进技术可以生成 商用车的实时位置信息。这些数据,由 适当的数据挖掘技术,可用于车队管理系统,例如

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