Please use this identifier to cite or link to this item:
Title: Investigation of car park preference by intelligent system guidance
Authors: Doğaroğlu, Bora
Çalışkanelli, S. Pelin
Keywords: Intelligent transportation systems
Parking guidance
Parking management
Parking prediction
Publisher: Elsevier
Abstract: In recent years, especially in developing countries, the number of vehicles has rapidly increased, leading to an increase in the demand for parking spaces. The most effective method to overcome this is to efficiently manage existing car parks. For this purpose, intelligent transportation system (ITS) applications have been used for facilities. In this study, the effect of guidance according to parking preferences on the utilisation of car parks with the support of an intelligent parking guidance system is examined. The preference and choice of car parks were modelled based on the observed data by developing a simulation program and testing the validity of the model. Subsequently, the effects of various parameters (e.g., parking fees, walking distance, and driving distance) on the selection of car parks, which have been ignored in the existing ITS, were included in the examination of the model. The results indicate that the driving distance and carbon dioxide emission, walking distance, and parking fees are reduced by 17, 14, and 1%, respectively. This study shows that system efficiency can be enhanced by considering additional car park preference parameters in intelligent parking system designs and management. © 2020 Elsevier Ltd
ISSN: 2210-5395
Appears in Collections:Civil Engineering / İnşaat Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

Files in This Item:
File SizeFormat 
1-s2.0-S221053952030105X-main.pdf3.07 MBAdobe PDFView/Open
Show full item record

CORE Recommender


checked on Jun 7, 2024


checked on Mar 16, 2024

Page view(s)

checked on Jun 10, 2024


checked on Jun 10, 2024

Google ScholarTM



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