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Conference Paper: Road network Model for Vehicle Navigation Using Traffic Direction Approach

TitleRoad network Model for Vehicle Navigation Using Traffic Direction Approach
Authors
KeywordsRoad network data model
Vehicle navigation
Issue Date2008
PublisherSpringer Berlin Heidelberg
Citation
13th International Symposium on Spatial Data Handling, 2008. In Ruas, A and Gold, C (eds.), Headway in Spatial Data Handling, p. 613-629. Berlin: Springer Berlin Heidelberg, 2008 How to Cite?
AbstractIn conventional GIS, road links are represented by a centerline-based modelling schema which raises many difficulties in lane-specific transport applications, such as navigation, simulation, and visualization. To meet such lane-specific requirements, road network data model has evolved from centerline-based model, to carriageway-based model, and furthermore, to lane-based model. Varying in representation scale, each schema has its advantages and disadvantages, and no consensus has been reached on which one is more proper or efficient. The evaluation and selection of data model should be closely related to the application purposes and requirements. This paper examines the modelling strategies of the three schemas in the context of vehicle navigation. Based on navigation characterists, this paper further puts forward a GIS road network model which is not based on road object scale, but the driving direction that each road link provides. Compared with the other three modelling schema, this schema is more effective on topology maintenance, multi-cartographic representation, and data compaction.
Persistent Identifierhttp://hdl.handle.net/10722/93931
ISBN
ISSN
Series/Report no.Lecture Notes in Geoinformation and Cartography

 

DC FieldValueLanguage
dc.contributor.authorYue, Yen_HK
dc.contributor.authorYeh, AGOen_HK
dc.contributor.authorLi, Q-
dc.date.accessioned2010-09-25T15:16:16Z-
dc.date.available2010-09-25T15:16:16Z-
dc.date.issued2008en_HK
dc.identifier.citation13th International Symposium on Spatial Data Handling, 2008. In Ruas, A and Gold, C (eds.), Headway in Spatial Data Handling, p. 613-629. Berlin: Springer Berlin Heidelberg, 2008-
dc.identifier.isbn978-3-540-68565-4-
dc.identifier.issn1863-2246-
dc.identifier.urihttp://hdl.handle.net/10722/93931-
dc.description.abstractIn conventional GIS, road links are represented by a centerline-based modelling schema which raises many difficulties in lane-specific transport applications, such as navigation, simulation, and visualization. To meet such lane-specific requirements, road network data model has evolved from centerline-based model, to carriageway-based model, and furthermore, to lane-based model. Varying in representation scale, each schema has its advantages and disadvantages, and no consensus has been reached on which one is more proper or efficient. The evaluation and selection of data model should be closely related to the application purposes and requirements. This paper examines the modelling strategies of the three schemas in the context of vehicle navigation. Based on navigation characterists, this paper further puts forward a GIS road network model which is not based on road object scale, but the driving direction that each road link provides. Compared with the other three modelling schema, this schema is more effective on topology maintenance, multi-cartographic representation, and data compaction.-
dc.languageengen_HK
dc.publisherSpringer Berlin Heidelberg-
dc.relation.ispartofHeadway in Spatial Data Handlingen_HK
dc.relation.ispartofseriesLecture Notes in Geoinformation and Cartography-
dc.subjectRoad network data model-
dc.subjectVehicle navigation-
dc.titleRoad network Model for Vehicle Navigation Using Traffic Direction Approachen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYue, Y: yueyang@hkusua.hku.hken_HK
dc.identifier.emailYeh, AGO: hdxugoy@hkucc.hku.hken_HK
dc.identifier.authorityYeh, AGO=rp01033en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-540-68566-1_35-
dc.identifier.scopuseid_2-s2.0-84884807000-
dc.identifier.hkuros143425en_HK
dc.identifier.issnl1863-2246-

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