کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4978589 1452897 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Safety evaluation of intersections with dynamic use of exit-lanes for left-turn using field data
ترجمه فارسی عنوان
ارزیابی ایمنی تقاطعات با استفاده پویا از خطوط خروجی برای استفاده از داده های زمینه با استفاده از چپ به نوبه خود
کلمات کلیدی
تقاطع های سیگنال یافته، خطوط خروجی برای استفاده از چپ به نوبه خود، ارزیابی ایمنی، تحلیل آماری، داده های میدانی، طراحی غیر متعارف،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی شیمی بهداشت و امنیت شیمی
چکیده انگلیسی
As a newly proposed unconventional intersection design, the exit-lanes for left-turn (EFL) intersection is found to be effective in increasing the intersection capacity with high level of application flexibility, especially under heavy left-turn traffic conditions. However, the operational safety of EFL is of most concern to the authority prior to its implementation. This paper evaluates the safety of the EFL intersections by studying the behavior of left-turn maneuvers using field data collected at 7 locations in China. A total of 22830 left-turn vehicles were captured, in which 9793 vehicles turned left using the mixed-usage area. Four potential safety problems, including the red-light violations, head-on collision risks, trapped vehicles, and rear-end crash risks, were discussed. Statistical analyses were carried out to compare the safety risk between the EFL intersection and the conventional one. Results indicate that the safety problems of EFL intersections mainly lie in higher percentages in red-light violations at the pre-signal (1.83% higher), wrong-way violation problems during the peak hours (the violation rate reaches up to 11.07%), and the lower travel speeds in the mixed-usage area (18.75% lower). Such risks can be counteracted, however, by providing more guiding information, installing cameras to investigate and punish violation maneuvers, and adjusting design parameter values for layout design and signal timing, respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Accident Analysis & Prevention - Volume 102, May 2017, Pages 31-40
نویسندگان
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