Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/4546
Title: Fuzzy logic vehicular delay modeling at signalized intersections
Authors: Murat, Y.Ş.
Keywords: Fuzzy logic vehicular
Vehicular delay estimation
Vehicular delays
Computational methods
Control systems
Mathematical models
Parameter estimation
Problem solving
Random processes
Fuzzy sets
Abstract: Delay of vehicles at signalized junctions is one of the main criteria used for evaluation of performances of control systems. The vehicular delay is defined with two parts as uniform and non-uniform. The uniform part of the vehicular delays is determined basically using conventional delay formulas. But the non-uniform part is not easily determined and can not represent the nature of the problem because of randomness in cases. Therefore, the Fuzzy Logic (FL) approach is employed for this aim and a vehicular delay estimation model has been developed. The model is compared with conventional delay calculation methods and the observations. The comparisons show that the results of the FL model are encouraging especially for the case of randomness or non-uniform conditions.
URI: https://hdl.handle.net/11499/4546
ISSN: 1300-3453
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Show full item record



CORE Recommender

SCOPUSTM   
Citations

2
checked on Nov 16, 2024

Page view(s)

108
checked on Aug 24, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.