使用ECOLOG数据库可视化路段能耗和过境时间相关性的数据分析框架

Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services Pub Date : 2016-11-28 DOI:10.1145/3004010.3004045

Daiki Kawanuma, Yuta Kashiwabara, Toshiaki Uemura, T. Tomii

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引用次数: 1

摘要

我们建立了一个数据库，从驾驶日志中估计电动汽车的能耗。本研究考察了一个数据分析框架，该框架聚合了大量的操作日志，这些日志按专家驾驶员认为有意义的预定义路段分组。它可视化了能量消耗、传输时间和能量损失的具体因素之间的关系。此外，当驾驶员使用我们提出的框架从数据分析中获得反馈时，我们估计通过改进驾驶可以减少能量损失。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data Analysis Framework for Visualizing Correlation of Energy Consumption and Transit Time in Road Sections using the ECOLOG database

We have built a database to estimate electric vehicle (EV) energy consumption from driving logs. This study, examines a data analysis framework that aggregates numerous operation logs that are grouped by predefined road sections which expert drivers consider to have meaning. It visualizes correlation of energy consumption, transit time, and specific factors of energy loss. Furthermore, we estimate energy loss reductions by improved driving when drivers obtain feedback from data analysis using our proposed frame.

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Adjunct Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing Networking and Services

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