CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Investigation of Un-signalized Roundabouts Delay with Adaptive-Network-Based Fuzzy Inference System and Fuzzy Logic

عنوان مقاله: Investigation of Un-signalized Roundabouts Delay with Adaptive-Network-Based Fuzzy Inference System and Fuzzy Logic
شناسه ملی مقاله: JR_CRPASE-2-4_001
منتشر شده در شماره 4 دوره 2 فصل در سال 1395
مشخصات نویسندگان مقاله:

Hamid Behbahani - School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, 16846-13114, Iran
Hassan Ziari - School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, 16846-13114, Iran
Amir Amini - School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, 16846-13114, Iran
Vahid Najafi Moghaddam Gilani - School of Civil Engineering, Iran University of Science and Technology (IUST), Tehran, 16846-13114, Iran

خلاصه مقاله:
A lot of models have been suggested for calculation and estimation of vehicles delay of signalized and un-signalized intersections. The geometry of intersection and traffic flow can affect delay imposed on vehicles. The city of Rasht, according to its own special characteristics, has a large number of un-signalized roundabouts; therefore, investigation of delay of these roundabouts could be an important issue. The objective of this paper is to use two methods fuzzy logic and adaptive-network-based fuzzy inference system to obtain the values of optimal delay in un-signalized roundabout. Based on the analysis of prediction model results, fuzzy logic and adaptive-network-based fuzzy inference system methods, the results indicate that both methods can be used for modeling and predicting the delay of un-signalized roundabouts under varying traffic parameters

کلمات کلیدی:
Un-signalized Roundabout, Delay, Fuzzy Logic, Adaptive-Network-Based Fuzzy Inference System, Artificial Neural Network

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/589077/