Analyse the moral dilemma facing autonomous vehicles with mixed logit model

IF 5.7 2区 工程技术 Q1 TRANSPORTATION
Siying Zhu, Cheng-Hsien Hsieh
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引用次数: 0

Abstract

The transportation industry has undergone remarkable transformations, driven by the rapid advancements in autonomous vehicle (AV) technology. Level 5 AVs, at the forefront of vehicle automation, completely eradicate the necessity for drivers’ intervention. While there have been remarkable advancements in AV technology, concerns regarding traffic safety and moral dilemmas when Level 5 AVs are involved in collisions have emerged. The objective of this study is to investigate the moral choice behaviour of prospective AV users when they are faced with moral dilemma situations involving Level 5 AVs, where a mixed logit model is formulated based on the stated preference survey in the context of Singapore. The results demonstrate the significant impacts of the affected parties’ gender, age, social importance, law-abidance and nationality on the moral choice behaviour of decision makers in AV moral dilemma. This study could provide policy implications for government planners and AV manufacturers in devising the decision-making model for Level 5 AVs when confronted with moral dilemmas. The insights could also be beneficial for the customers, enabling them to enhance road safety when using AVs.
用混合logit模型分析自动驾驶汽车面临的道德困境
在自动驾驶汽车(AV)技术快速发展的推动下,交通运输行业发生了显著的变革。Level 5自动驾驶汽车处于汽车自动化的最前沿,完全消除了驾驶员干预的必要性。虽然自动驾驶技术已经取得了显著的进步,但当Level 5自动驾驶汽车发生碰撞时,人们对交通安全和道德困境的担忧已经出现。本研究的目的是调查潜在自动驾驶汽车用户在面临涉及5级自动驾驶汽车的道德困境时的道德选择行为,并基于新加坡背景下的陈述偏好调查建立了一个混合logit模型。研究结果表明,在AV道德困境中,受影响方的性别、年龄、社会重要性、守法程度和国籍对决策者的道德选择行为有显著影响。本研究可为政府规划者和自动驾驶汽车制造商设计5级自动驾驶汽车面临道德困境的决策模型提供政策启示。这些见解也可能对客户有益,使他们能够在使用自动驾驶汽车时提高道路安全。
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
CiteScore
9.80
自引率
7.70%
发文量
109
期刊介绍: Travel Behaviour and Society is an interdisciplinary journal publishing high-quality original papers which report leading edge research in theories, methodologies and applications concerning transportation issues and challenges which involve the social and spatial dimensions. In particular, it provides a discussion forum for major research in travel behaviour, transportation infrastructure, transportation and environmental issues, mobility and social sustainability, transportation geographic information systems (TGIS), transportation and quality of life, transportation data collection and analysis, etc.
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