Please use this identifier to cite or link to this item:
Title: Modeling of vehicle delays at signalized intersection with an adaptive neuro-fuzzy (ANFIS)
Authors: Gokdag, Mahir
Hasiloglu, A Samet
Karsli, Neslihan
Atalay, Ahmet
Akbas, Ahmet
Keywords: Delay estimation
Hybrid algorithm
Neuro fuzzy
Signalized junction
Issue Date: Sep-2007
Publisher: CSIR
Series/Report no.: G06N5/00
Abstract: An adaptive neuro-fuzzy inference based delay estimation system is proposed. The system is compared with other delay estimation models, and tested through simulation and observation values. Rules, fuzzification and inference are modeled by neuro-fuzzy. Hybrid algorithm has been used for training and tests. The rule base of the delay estimation system is constructed either following a mathematical model or from real-time traffic operational data. This study has shown that adaptive neurofuzzy technique, a method to predict vehicle delays at signalized junctions, can be successfully applied to modeling of traffic systems.
Description: 736-740
ISSN: 0022-4456
Appears in Collections:JSIR Vol.66(09) [September 2007]

Files in This Item:
File Description SizeFormat 
JSIR 66(9) (2007) 736-740.pdf109.3 kBAdobe PDFView/Open

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