Application of machine learning techniques for driving errors analysis: systematic literature review

IF 1.8 4区工程技术 Q3 ENGINEERING, MANUFACTURING

International Journal of Crashworthiness Pub Date : 2024-01-07 DOI:10.1080/13588265.2023.2301146

Mohammed Ameksa, Hajar Mousannif, Hassan Al Moatassime, Zouhair Elamrani Abou Elassad

引用次数: 0

Abstract

Driving is a challenging process, any misinterpretation or interaction error during this process can result in an accident, as such, leading to the concept of driving errors (DE), one of the larges...

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机器学习技术在驾驶误差分析中的应用：系统文献综述

驾驶是一个极具挑战性的过程，在此过程中的任何误解或互动错误都可能导致事故，因此产生了驾驶错误（DE）这一概念，它是人类面临的最大挑战之一。

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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来源期刊

International Journal of Crashworthiness 工程技术-工程：机械

CiteScore

3.70

自引率

10.50%

发文量

审稿时长

2.3 months

期刊介绍： International Journal of Crashworthiness is the only journal covering all matters relating to the crashworthiness of road vehicles (including cars, trucks, buses and motorcycles), rail vehicles, air and spacecraft, ships and submarines, and on- and off-shore installations. The Journal provides a unique forum for the publication of original research and applied studies relevant to an audience of academics, designers and practicing engineers. International Journal of Crashworthiness publishes both original research papers (full papers and short communications) and state-of-the-art reviews. International Journal of Crashworthiness welcomes papers that address the quality of response of materials, body structures and energy-absorbing systems that are subjected to sudden dynamic loading, papers focused on new crashworthy structures, new concepts in restraint systems and realistic accident reconstruction.