Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/8275
Title: A harmony search algorithm approach for optimizing traffic signal timings
Authors: Dell'orco, Mauro
Başkan, Özgür
Marinelli, M.
Keywords: Equilibrium network design problem
Harmony search algorithm
Sensitivity parameter
error analysis
genetic algorithm
harmonic analysis
network design
optimization
parameterization
sensitivity analysis
signal
traffic management
travel time
Publisher: Faculty of Transport and Traffic Engineering
Abstract: In this study, a bi-level formulation is presented for solving the Equilibrium Network Design Problem (ENDP). The optimization of the signal timing has been carried out at the upper-level using the Harmony Search Algorithm (HSA), whilst the traffic assignment has been carried out through the Path Flow Estimator (PFE) at the lower level. The results of HSA have been first compared with those obtained using the Genetic Algorithm (GA) and the Hill Climbing on a two-junction network for a fixed set of link flows. Secondly, HSA with PFE has been applied to the medium-sized network to show the applicability of the proposed algorithm in solving ENDP. Additionally, in order to test the sensitivity of perceived travel time error, we have used HSA with PFE with various level of perceived travel time. The results showed that the proposed method is quite simple and efficient in solving ENDP.
URI: https://hdl.handle.net/11499/8275
https://doi.org/10.7307/ptt.v25i4.979
ISSN: 0353-5320
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
979-Article Text-3124-1-10-20130715.pdf909.33 kBAdobe PDFView/Open
Show full item record



CORE Recommender

SCOPUSTM   
Citations

20
checked on May 21, 2024

WEB OF SCIENCETM
Citations

17
checked on May 21, 2024

Page view(s)

34
checked on May 6, 2024

Download(s)

12
checked on May 6, 2024

Google ScholarTM

Check




Altmetric


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