کد مقاله کد نشریه سال انتشار مقاله انگلیسی ترجمه فارسی نسخه تمام متن
587259 878392 2016 10 صفحه PDF ندارد دانلود رایگان
عنوان انگلیسی مقاله
Use of empirical and full Bayes before–after approaches to estimate the safety effects of roadside barriers with different crash conditions
ترجمه فارسی عنوان
استفاده از روش‌های قبل و بعد بیزی تجربی و کامل برای تخمین میزان تاثیرات ایمنی موانع کنار جاده با شرایط تصادف مختلف
کلمات کلیدی
اثربخشی ایمنی؛ عوامل اصلاح تصادف؛ راهنمای ایمنی بزرگراه؛ موانع کنار جاده ؛ تجربی و کامل بیزی
Safety effectiveness; Crash modification factors; Highway safety manual; Roadside barriers; Empirical and Full Bayes
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی


• CMFs for installation of different types of roadside barriers were developed.
• Empirical and full Bayesian before–after methods were utilized.
• The changes of safety effects for different crash types, severities, and conditions were determined.
• The addition of roadside barriers is safety effective in reducing severe crashes.
• The variation of CMFs was found based on the different vehicle, driver, weather, and time information.

IntroductionAlthough many researchers have estimated the crash modification factors (CMFs) for specific treatments (or countermeasures), there is a lack of prior studies that have explored the variation of CMFs. Thus, the main objectives of this study are: (a) to estimate CMFs for the installation of different types of roadside barriers, and (b) to determine the changes of safety effects for different crash types, severities, and conditions.MethodTwo observational before–after analyses (i.e. empirical Bayes (EB) and full Bayes (FB) approaches) were utilized in this study to estimate CMFs. To consider the variation of safety effects based on different vehicle, driver, weather, and time of day information, the crashes were categorized based on vehicle size (passenger and heavy), driver age (young, middle, and old), weather condition (normal and rain), and time difference (day time and night time).ResultsThe results show that the addition of roadside barriers is safety effective in reducing severe crashes for all types and run-off roadway (ROR) crashes. On the other hand, it was found that roadside barriers tend to increase all types of crashes for all severities. The results indicate that the treatment might increase the total number of crashes but it might be helpful in reducing injury and severe crashes. In this study, the variation of CMFs was determined for ROR crashes based on the different vehicle, driver, weather, and time information.Practical applicationsBased on the findings from this study, the variation of CMFs can enhance the reliability of CMFs for different roadway conditions in decision making process. Also, it can be recommended to identify the safety effects of specific treatments for different crash types and severity levels with consideration of the different vehicle, driver, weather, and time of day information.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Safety Research - Volume 58, September 2016, Pages 31–40
نویسندگان
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