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首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >Addressing the Safety of Transportation Cyber-Physical Systems: Development and Validation of a Verbal Warning Utility Scale for Intelligent Transportation Systems
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Addressing the Safety of Transportation Cyber-Physical Systems: Development and Validation of a Verbal Warning Utility Scale for Intelligent Transportation Systems

机译:解决交通网络物理系统的安全性:智能交通系统言语警告实用工具规模的开发和验证

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摘要

As an important application of Cyber-Physical Systems (CPS), advances in intelligent transportation systems (ITS) improve driving safety by informing drivers of hazards with warnings in advance. The evaluation of the warning effectiveness is an important issue in facilitating communication of ITS. The goal of the present study was to develop a scale to evaluate the warning utility, namely, the effectiveness of a warning in preventing accidents in general. A driving simulator study was conducted to validate the Verbal Warning Utility Scale (VWUS) in a simulated driving environment. The reliability analysis indicated a good split-half reliability for the VWUS with a Spearman-Brown Coefficient of 0.873. The predictive validity of VWUS in measuring the effectiveness of the verbal warnings was verified by the significant prediction of safety benefits indicated by variables, including reduced kinetic energy and collision rate. Compared to conducting experimental studies, this scale provides a simpler way to evaluate overall utility of verbal warnings in communicating associated hazards in intelligent transportation systems. This scale can be further applied to improve the design of warnings of ITS in order to improve transportation safety. The applications of the scale in nonverbal warning situations and limitations of the current scale are also discussed.
机译:作为网络物理系统(CPS)的重要应用,智能交通系统(ITS)的进步通过预先向驾驶员发出警告来警告他们,从而提高了驾驶安全性。预警有效性的评估是促进ITS交流的重要问题。本研究的目的是开发一种评估预警效用的量表,即,预警在预防事故中的有效性。进行了驾驶模拟器研究,以验证模拟驾驶环境中的口头警告实用程序量表(VWUS)。可靠性分析表明,大众汽车的Spearman-Brown系数为0.873,它具有良好的对半可靠性。 VWUS在衡量口头警告有效性方面的预测有效性已通过变量指示的安全效益的显着预测得到了验证,这些变量包括降低的动能和碰撞率。与进行实验研究相比,该量表提供了一种更简单的方法来评估口头警告在传达智能交通系统中的相关危险方面的总体效用。该量表可进一步用于改进ITS的警告设计,以提高运输安全性。还讨论了量表在非语言警告情况下的应用以及当前量表的局限性。

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