利用一年探测车辆数据探索空车行为

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2023-10-24 DOI:10.1007/s13177-023-00372-2

Ryosuke Maeda, Takuya Maruyama

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引用次数: 0

摘要

摘要研究空车行为有助于建立高效、环保的物流系统。这项研究使用了2019年4月至2020年3月在日本九州的探测车辆数据，以探索空卡车的行为。结果显示，空卡车的比例在一周中的一天、一天中的时间、一个月以及空卡车和载货卡车的行程分布上存在差异。采用非分层聚类分析方法对车辆进行空载分类。这些结果可以潜在地用于减少空卡车的数量和提高物流系统的效率。

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Exploring Empty Truck Behavior Using One-Year Probe Vehicle Data

Abstract Examining empty truck behavior can be beneficial in developing an efficient and environmentally friendly logistics system. This study used probe vehicle data from April 2019 to March 2020 in Kyushu, Japan, to explore empty truck behavior. The results revealed a difference in the empty truck ratio across the day of the week, time of the day, and month and the trip distribution of empty and loaded trucks. A nonhierarchical cluster analysis was used to classify vehicles based on empty/loaded situations. These results can be potentially used to reduce the number of empty trucks and improve the efficiency of logistics systems.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.

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