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Conference Paper: Route selection for vehicle navigation and control

TitleRoute selection for vehicle navigation and control
Authors
KeywordsAlternate routing
Annual conference
Route selection
Vehicle navigation
Issue Date2007
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000352
Citation
The 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2007), Taipei, Taiwan, 5-8 November 2007. In Conference Proceedings, 2007, p. 2586-2591 How to Cite?
AbstractThis paper presents an application of neural-fuzzy methodology for the problem of route selection in a typical vehicle navigation and control system. The idea of the primary attributes of a route is discussed, and a neural-fuzzy system is developed to help a user to select a route out of the many possible routes from an origin to the destination. The user may not adopt the recommendation provided by the system and choose an alternate route. One novel feature of the system is that the neural-fuzzy system can adapt itself by changing the weights of the defined fuzzy rules through a training procedure. Two examples are given in this paper to illustrate how the route selection/ranking system can be made adaptive to the past choice or preference of the user. ©2007 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/57273
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorPang, Gen_HK
dc.contributor.authorChu, MHen_HK
dc.date.accessioned2010-04-12T01:31:30Z-
dc.date.available2010-04-12T01:31:30Z-
dc.date.issued2007en_HK
dc.identifier.citationThe 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON 2007), Taipei, Taiwan, 5-8 November 2007. In Conference Proceedings, 2007, p. 2586-2591en_HK
dc.identifier.isbn1-4244-0783-4-
dc.identifier.urihttp://hdl.handle.net/10722/57273-
dc.description.abstractThis paper presents an application of neural-fuzzy methodology for the problem of route selection in a typical vehicle navigation and control system. The idea of the primary attributes of a route is discussed, and a neural-fuzzy system is developed to help a user to select a route out of the many possible routes from an origin to the destination. The user may not adopt the recommendation provided by the system and choose an alternate route. One novel feature of the system is that the neural-fuzzy system can adapt itself by changing the weights of the defined fuzzy rules through a training procedure. Two examples are given in this paper to illustrate how the route selection/ranking system can be made adaptive to the past choice or preference of the user. ©2007 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000352en_HK
dc.relation.ispartofAnnual Conference of Industrial Electronics Society Proceedingsen_HK
dc.rights©2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectAlternate routing-
dc.subjectAnnual conference-
dc.subjectRoute selection-
dc.subjectVehicle navigation-
dc.titleRoute selection for vehicle navigation and controlen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1935-4576&volume=&spage=693&epage=698&date=2007&atitle=Route+selection+for+vehicle+navigation+and+controlen_HK
dc.identifier.emailPang, G: gpang@eee.hku.hken_HK
dc.identifier.authorityPang, G=rp00162en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/IECON.2007.4459980en_HK
dc.identifier.scopuseid_2-s2.0-49949090786en_HK
dc.identifier.hkuros168568-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-49949090786&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage2586en_HK
dc.identifier.epage2591en_HK
dc.publisher.placeUnited States-
dc.identifier.scopusauthoridChu, MH=47461010000en_HK
dc.identifier.scopusauthoridPang, G=7103393283en_HK
dc.customcontrol.immutablesml 140815-

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