网联汽车中的驾驶行为分析

M. Basit, Hasan Ali Khattak, Sheeraz Ahmed, Asif Nawaz, Masood Habib, Khalid Zaman
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引用次数: 1

摘要

交通运输已经成为人类社会的重要组成部分,在科技的世界里,这种交通工具每天都在改进。其中最重要的特征之一就是驾驶行为。本研究的目的是找出最佳和最优的解决方案,以最小的误差收集数据,可以进一步用于不同的目的,如进行驾驶行为分析等。请记住,执行行为分析不是本研究的一部分。收集这些数据的任务是通过使用3种不同的方法(GPS、加速度计和OBD)技术进行3种类型的比较实验来完成的。本研究旨在找出误差最小的最佳方法。在对所有3种方法分别进行实验后,OBD-II在不受外界因素影响的情况下具有最高的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Driving Behaviour Analysis in Connected Vehicles
Transportation has become a vital part of human society and in the world of technology, this means of transportation is enhanced everyday. One of the most crucial features of this is driving behavior. The purpose of this research is to Figure out the best and the most optimal solution for gathering data with minimum errors that can be further utilized for different purposes such as performing driving behavior analysis etc. Keeping in mind that performing the behavior analysis is not part of this research. The task of gathering this data is accomplished by performing 3 types of comparative experiments using 3 different approaches which are through (GPS, Accelerometer and OBD) technology. This research is aimed towards finding out the best approach with minimum error percentage. After performing separate experiments on all 3 approaches, OBD-II had the maximum accuracy without being affected by external factors.
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