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首页> 外文期刊>Journal of Intelligent Transportation Systems >Driver Behavior and Preferences for Changeable Message Signs and Variable Speed Limits in Reduced Visibility Conditions
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Driver Behavior and Preferences for Changeable Message Signs and Variable Speed Limits in Reduced Visibility Conditions

机译:在可见性降低的条件下,驾驶员行为和可更改消息符号和变速限制的首选项

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摘要

This article investigates the factors affecting drivers' stated behavior in adverse visibility conditions and examines whether drivers rely on and follow advisory or warning messages displayed on portable changeable message signs (CMS) and/or variable speed limit (VSL) signs in different visibility and traffic conditions, and on two types of roadways: freeways and two-lane roads. A multiple-approach survey was designed to collect opinions and stated data front Central Florida drivers. Categorical data analysis techniques such as conditional distribution, odds ratio, and chi-squared tests were applied. In addition, two modeling approaches, bivariate and multivariate probit models, were estimated. The results revealed that gender, age, road type, visibility condition, and familiarity with VSL sign were the significant factors affecting the stated likelihood of reducing speed following CMS/VSL instructions in reduced visibility conditions. Other objectives of this study were to determine the content of messages that would achieve the best perceived safety and drivers' compliance and to examine the best way to improve safety during these adverse visibility conditions. The results indicated that respondents thought that "Caution-fog ahead-reduce speed" was the best message and that using that CMS and VSL signs together was the best way to improve safety during such inclement weather situations. Based on the findings of the present study, several recommendations are suggested as guidelines to improve safety in reduced visibility conditions.
机译:本文研究了在不利的能见度条件下影响驾驶员陈述行为的因素,并检查了驾驶员是否依赖并遵循在不同能见度和交通状况下便携式可变消息标志(CMS)和/或变速限制(VSL)标志上显示的建议或警告消息条件和两种类型的道路:高速公路和两车道道路。旨在采用多种方法进行的调查旨在收集佛罗里达州中部驾驶员的意见并陈述数据。应用了分类数据分析技术,例如条件分布,优势比和卡方检验。此外,估计了两种建模方法,即双变量和多变量概率模型。结果表明,性别,年龄,道路类型,能见度条件以及对VSL信号的熟悉程度是影响在降低能见度条件下遵循CMS / VSL指令所规定的降低速度的可能因素。这项研究的其他目标是确定可实现最佳感知安全性和驾驶员合规性的消息内容,并研究在这些不利能见度条件下改善安全性的最佳方法。结果表明,受访者认为“警告雾提前降低速度”是最好的信息,并且在这种恶劣天气情况下,将CMS和VSL标志一起使用是提高安全性的最佳方法。根据本研究的结果,提出了一些建议,作为在降低能见度条件下提高安全性的指南。

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