A Multi-Level Framework for Traffic Safety Assessment under Automated Driving Functionalities: the Need and Outline of a Holistic Approach

被引：0

作者：

Charoniti E. ^{[1
]}

Klunder G. ^{[1
]}

Meeuwissen M. ^{[1
]}

机构：

[1] TNO, Department of Sustainable Urban Mobility and Safety department, Hague

来源：

International Journal of Automotive Engineering | 2024年 / 15卷 / 01期

关键词：

accident/collision prediction; automated vehicles; driver behavior; safety assessment;

D O I：

10.20485/JSAEIJAE.15.1_27

中图分类号：

学科分类号：

摘要：

The rapid introduction of automated driving functionalities in vehicles, has forced the necessity to systematically organize the methodologies for traffic safety assessment. Their safety impacts depend on many factors: human, vehicle, traffic, size of implementation. Modelling and simulations on the driver up to the societal level, play a vital role in assessment. This paper discusses the need, as well as an approach, to develop a multi-level safety assessment framework, facilitating the mitigation of risks. Via a research-driven format, this paper provides practitioners with a strategy to effectively perform safety assessment, offering practical, stepwise guidelines regarding the relevant models and tools. © 2024 Society of Automotive Engineers of Japan, Inc. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

引用

页码：27 / 35

页数：8

共 27 条

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