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Drivers' self-reported responses to a potentially realistic fabricated road sign message

机译:司机的自我报告的回应对一个潜在的现实制造的道路迹象

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This article seeks to understand the potential response of drivers when they encounter compromised Dynamic Message Signs (DMS). The findings are built on the self-reported response of 4,706 participants in a Stated Preference (SP) survey conducted between November 2018 and December 2018 in the United States. The findings show the response of drivers to the & ldquo;Downtown Under Terrorist Attack & rdquo; message falls into route divergence, speed change, and distraction, and the likelihood of route divergence, distraction, and a slowdown is significantly more than either stopping or speeding up. The possibility of a response, however, varies depending on socioeconomic characteristics, attitudinal charac-teristics, and driving behavior. It is highlighted (1) female and young drivers are more probable to detour, to change speed, or to be distracted, (2) drivers who are familiar with DMS, encounter it frequently, or pay attention to its content, have a higher chance of detouring or changing speed, while they are less likely to be distracted, and (3) technology-friendly drivers are likely to detour or slow down. From the distraction model, it is further inferred that drivers are distracted cognitively, visually, and manually. The findings have implications for researchers and federal, state, and local agencies who are aware of the consequences of cybersecurity threats for the operation and profitability of the transport network. They, for example, assist transport planners in prioritizing equip-ment security efforts and resource allocation to the areas of greatest risk, and help to pre-pare contingency plans based on drivers & rsquo; behavioral response.(c) 2021 Elsevier Ltd. All rights reserved.
机译:本文旨在了解驾驶员遇到受损动态消息标志(DMS)时的潜在响应。调查结果建立在2018年11月至2018年11月至2018年12月至2018年12月期间的规定的偏好(SP)调查中的4,706名参与者的自我报告答复。调查结果表明司机对&ldquo的反应;恐怖袭击下的市中心和rdquo;消息落入路线分歧,速度变化和分心,以及路线发散,分心的可能性,显着远远超过停止​​或加速。然而,反应的可能性因社会经济特征,态度特征和驾驶行为而变化。它被突出显示(1)女性和年轻的司机更可能绕道而行,改变速度,或分心,(2)熟悉DMS的司机经常遇到或注意其内容,有更高的机会扭转或改变速度,而它们不太可能分散注意力,并且(3)技术友好的司机可能会绕道而行或减速。从分心模型,进一步推断出司机分散注意力,视觉,手动分散注意力。该调查结果对研究人员和联邦,国家和当地机构具有了解网络安全威胁对运输网络的运作和盈利能力的后果的影响。例如,他们协助运输规划人员在优先考虑配备安全工作和资源分配到最大风险的领域,并帮助基于司机和rsquo的削减应急计划;行为反应。(c)2021 Elsevier Ltd.保留所有权利。

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