Optimized combination model and algorithm of parking guidance information configuration

Persistent Link:
http://hdl.handle.net/10150/610136
Title:
Optimized combination model and algorithm of parking guidance information configuration
Author:
Mei, Zhenyu; Tian, Ye
Affiliation:
Department of Civil Engineering, Zhejiang University, Hangzhou, 310058, China; Department of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721, USA
Issue Date:
2011
Publisher:
SpringerOpen
Citation:
Mei and Tian EURASIP Journal on Wireless Communications and Networking 2011, 2011:104 http://jwcn.eurasipjournals.com/content/2011/1/104
Journal:
EURASIP Journal on Wireless Communications and Networking
Rights:
© 2011 Mei and Tian; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0)
Collection Information:
This item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.
Abstract:
Operators of parking guidance and information (PGI) systems often have difficulty in providing the best car park availability information to drivers in periods of high demand. A new PGI configuration model based on the optimized combination method was proposed by analyzing of parking choice behavior. This article first describes a parking choice behavioral model incorporating drivers perceptions of waiting times at car parks based on PGI signs. This model was used to predict the influence of PGI signs on the overall performance of the traffic system. Then relationships were developed for estimating the arrival rates at car parks based on driver characteristics, car park attributes as well as the car park availability information displayed on PGI signs. A mathematical program was formulated to determine the optimal display PGI sign configuration to minimize total travel time. A genetic algorithm was used to identify solutions that significantly reduced queue lengths and total travel time compared with existing practices. These procedures were applied to an existing PGI system operating in Deqing Town and Xiuning City. Significant reductions in total travel time of parking vehicles with PGI being configured. This would reduce traffic congestion and lead to various environmental benefits.
EISSN:
1687-1499
DOI:
10.1186/1687-1499-2011-104
Keywords:
parking guidance information; parking choice; optimized display model; genetic algorithm
Version:
Final published version
Additional Links:
http://jwcn.eurasipjournals.com/content/2011/1/104

Full metadata record

DC FieldValue Language
dc.contributor.authorMei, Zhenyuen
dc.contributor.authorTian, Yeen
dc.date.accessioned2016-05-20T08:59:22Z-
dc.date.available2016-05-20T08:59:22Z-
dc.date.issued2011en
dc.identifier.citationMei and Tian EURASIP Journal on Wireless Communications and Networking 2011, 2011:104 http://jwcn.eurasipjournals.com/content/2011/1/104en
dc.identifier.doi10.1186/1687-1499-2011-104en
dc.identifier.urihttp://hdl.handle.net/10150/610136-
dc.description.abstractOperators of parking guidance and information (PGI) systems often have difficulty in providing the best car park availability information to drivers in periods of high demand. A new PGI configuration model based on the optimized combination method was proposed by analyzing of parking choice behavior. This article first describes a parking choice behavioral model incorporating drivers perceptions of waiting times at car parks based on PGI signs. This model was used to predict the influence of PGI signs on the overall performance of the traffic system. Then relationships were developed for estimating the arrival rates at car parks based on driver characteristics, car park attributes as well as the car park availability information displayed on PGI signs. A mathematical program was formulated to determine the optimal display PGI sign configuration to minimize total travel time. A genetic algorithm was used to identify solutions that significantly reduced queue lengths and total travel time compared with existing practices. These procedures were applied to an existing PGI system operating in Deqing Town and Xiuning City. Significant reductions in total travel time of parking vehicles with PGI being configured. This would reduce traffic congestion and lead to various environmental benefits.en
dc.language.isoenen
dc.publisherSpringerOpenen
dc.relation.urlhttp://jwcn.eurasipjournals.com/content/2011/1/104en
dc.rights© 2011 Mei and Tian; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0)en
dc.subjectparking guidance informationen
dc.subjectparking choiceen
dc.subjectoptimized display modelen
dc.subjectgenetic algorithmen
dc.titleOptimized combination model and algorithm of parking guidance information configurationen
dc.typeArticleen
dc.identifier.eissn1687-1499en
dc.contributor.departmentDepartment of Civil Engineering, Zhejiang University, Hangzhou, 310058, Chinaen
dc.contributor.departmentDepartment of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721, USAen
dc.identifier.journalEURASIP Journal on Wireless Communications and Networkingen
dc.description.collectioninformationThis item is part of the UA Faculty Publications collection. For more information this item or other items in the UA Campus Repository, contact the University of Arizona Libraries at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
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