Raw driving data of passenger cars considering traffic conditions in Semnan city

M. Azadi, A. Malekan, Aliasghar Shahsavand
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引用次数: 0

Abstract

Abstract This article analyzes raw driving data of passenger cars in the city of Semnan in Iran, with the objective of understanding the impact of traffic conditions at different times of day (morning, noon, evening, and night). For this study, two cars, the Toyota Prius and the Peugeot Pars (or the IKCO Persia), were used, and the data of speed, longitude, latitude, and altitude of the vehicles were acquired. This data was collected over a week (July 21–28, 2022) for a distance of 670 km (13 hr), with the help of the Global Positioning System application, and were presented for both cars. In addition to this, the data on fuel consumption and average speed, based on the Electronic Control Unit in the Prius, was also collected. Finally, a sensitivity analysis was done on the features of the raw data, based on the Principal Component Analysis method.
考虑Semnan市交通状况的乘用车原始驾驶数据
本文分析了伊朗塞姆南市乘用车的原始驾驶数据,目的是了解一天中不同时间(早上、中午、晚上和晚上)交通状况的影响。在这项研究中,使用了两辆汽车,丰田普锐斯和标致Pars(或IKCO波斯),并获得了车辆的速度,经度,纬度和海拔的数据。在全球定位系统应用程序的帮助下,这些数据在一周内(2022年7月21日至28日)收集了670公里(13小时)的距离,并为两辆车提供了数据。除此之外,还收集了基于普锐斯电子控制单元的油耗和平均速度数据。最后,基于主成分分析法对原始数据特征进行敏感性分析。
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
1.50
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