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A Framework for Developing Driving Cycles with On-Road Driving Data

机译：利用公路驾驶数据开发驾驶循环的框架

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摘要

This paper attempts to propose a framework on driving cycle development based on a thorough review of 101 transient driving cycles. A comparison of the driving cycles highlighted that Asian driving is the slowest but most aggressive while European driving is the fastest and smoothest. Further review of the cycle development methodologies identified three major elements for developing a driving cycle; test route selection, data collection and cycle construction methods. A framework was eventually proposed based on these findings and recommendations from this review. First, traffic activity patterns and quantitative statistics should be considered in determining the test routes. Speed data can be collected by using chase car method, on-board measurement techniques or their hybrid. As for the construction of driving cycle, the matching approach has been more commonly used. It is recommended that the tendency of zero change in acceleration, which has been commonly ignored in the literature, and the application of succession probability at second-by-second level should be further explored. A fifth mode, creeping, is also recommended for modal analysis for characterizing urban congested driving conditions.
机译：本文试图在对101个瞬时驾驶周期进行全面回顾的基础上，提出一个关于驾驶周期发展的框架。通过对驾驶周期的比较可以看出，亚洲驾驶是最慢但最凶猛的，而欧洲驾驶则是最快，最平稳的。对骑行开发方法的进一步审查确定了开发驾驶骑行的三个主要要素;测试路线选择，数据收集和周期构建方法。最终根据这些发现和本次审查的建议提出了一个框架。首先，在确定测试路线时应考虑交通活动模式和定量统计。速度数据可以通过使用追逐车方法，车载测量技术或它们的混合动力来收集。至于行驶周期的构造，匹配方法已被更普遍地使用。推荐加速度零变化的趋势，这在文献中通常被忽略，并且应该进一步探讨在第二个级别上继承概率的应用。还建议使用第五种模式，即蠕变模式进行模式分析，以表征城市拥堵的驾驶条件。

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