Data Collection and Data Management Approach for Developing a Driving Cycle: A Review

Nurru Anida Ibrahim, Arunkumar Subramaniam, Siti Norbakyah Jabar, Salisa Abdul Rahman
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引用次数: 0

Abstract

Driving cycles were first proposed and developed for standard emission measurements used by legislative bodies to approve newly developed vehicles. There are many driving cycles that have been developed over the past few years. Most of the research on driving cycles is based on the condition of the vehicle in a specific location, such as the United States FTP75, European ECE 15, Japan 10115, and others. A driving cycle is a representative speed-time profile that reflects the typical driving pattern of a given city or region. A driving cycle consists of a sequence of vehicle operating conditions (idle, acceleration, cruise, and deceleration). The basic methodologies to construct a driving cycle are route selection, data collection, and the development of the driving cycle. However, as far as we know, detailed reviews and in-depth discussions of data collection instruments and data management are rarely present. As a result, this paper reviews and discusses the recent data collection approach, as well as providing a thorough analysis of the mechanisms that they employ. Furthermore, the disadvantages and advantages of the reviewed mechanisms have also been discussed.
开发驾驶循环的数据收集和数据管理方法:回顾
驾驶循环最早是为立法机构批准新开发车辆时使用的标准排放测量而提出和开发的。在过去几年中,有许多驾驶循环被开发出来。有关驾驶循环的研究大多基于特定地点的车辆状况,如美国 FTP75、欧洲 ECE 15、日本 10115 等。驾驶周期是一种有代表性的速度-时间曲线,反映了特定城市或地区的典型驾驶模式。驾驶周期由一系列车辆运行条件(怠速、加速、巡航和减速)组成。构建驾驶周期的基本方法是选择路线、收集数据和制定驾驶周期。然而,据我们所知,有关数据收集工具和数据管理的详细回顾和深入讨论却很少出现。因此,本文对近期的数据收集方法进行了回顾和讨论,并对其采用的机制进行了深入分析。此外,还讨论了所审查机制的缺点和优点。
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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CiteScore
1.30
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