This paper describes a method for estimating region-specific real-world light-duty vehicle fuel economy in the United States that is unique in both the size and representativeness of real-world driving that was considered, and for its ability to model regional variations in driving patterns. Over one million miles of national driving data were used to select real-world cycles representative of observed trip categories. The six cycles were compared to U.S. legislative cycles, revealing some key differences. Finally, a set of cycle weighting factors for 533 separate U.S. regions was derived from annual traffic statistics. Applying this method, it was found that regional fuel economy varies due to differences in driving patterns alone and that rural driving patterns lead to improved fuel economy (for conventional vehicles). The driving cycles and regional weighting factors described here are useful for testing and simulation studies, specifically those sensitive to regional variations in driving patterns.

本文介绍了一种用于估算美国特定地区的现实世界轻型车辆燃油经济性的方法，该方法在考虑的现实世界驾驶的规模和代表性方面均具有独特性，并且具有建模区域变化的能力。驾驶模式。使用了超过一百万英里的国家驾驶数据来选择代表观察到的旅行类别的真实世界的自行车。将这六个周期与美国立法周期进行了比较，发现了一些关键差异。最后，从年度交通统计数据中得出了533个美国独立地区的一组周期加权因子。应用这种方法，发现区域燃油经济性仅因驾驶模式的差异而有所不同，而乡村驾驶模式导致燃油经济性的提高（对于传统车辆而言）。