Differences in Feature Representation in Digital Map Databases
dc.contributor.author | Nystuen, John D. | |
dc.contributor.author | Frank, Andrea I. | |
dc.date.accessioned | 2008-07-02T10:48:29Z | |
dc.date.available | 2008-07-02T10:48:29Z | |
dc.date.issued | 1997-12-21 | |
dc.identifier.citation | Nystuen, John D. and Frank, Andrea I. "Differences in Feature Representation in Digital Map Databases." Solstice: An Electronic Journal of Geography and Mathematics, Volume VIII, Number 2. Ann Arbor: Institute of Mathematical Geography, 1997. Persistent URL (URI): http://hdl.handle.net/2027.42/60253 | en_US |
dc.identifier.issn | 1059-5325 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/60253 | |
dc.description.abstract | Map databases are integral to many ITS (Intelligent Transportation Systems) applications in navigation, traffic forecasting, and route planning. With the increasing deployment of ITS technology demands for accurate and complete digital map databases of the nation's road network are surging. The development and maintenance of high quality digital map databases is expensive and time-consuming. Database sharing will be a sensible approach whenever possible in order to reduce cost. In the US map databses are being produced by a variety of public agencies and private vendors. Quality and levels of accuracy vary depending on data sources and production procedures. Verifying the quality and accuracy of map databases for purposes of navigation is a pragmatic and important concern. The Society of Automotive Engineers has developed a Truth-in-Labeling Standard, the goal of which is to provide a consistent method for describing and comparing map databases. While the standard requires that database vendors provide a standardized label that lists basic database characteristics such as lineage, coverage, accuracy, content and scope of a database, there are currently no guidelines for feature representation (such as the layout of road intersections) in digital databases. Comparison of two different map databases reveals significant representational differences due to differences in precision of source material, data model and intended uses. | en_US |
dc.format.extent | 183804 bytes | |
dc.format.mimetype | application/pdf | |
dc.language.iso | en_US | en_US |
dc.publisher | Institute of Mathematical Geography | en_US |
dc.relation.ispartofseries | Solstice, Volume VIII, Number 2 | en_US |
dc.subject | Digital Map Databases | en_US |
dc.subject | Feature Representation | en_US |
dc.title | Differences in Feature Representation in Digital Map Databases | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Geography and Maps | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Nystuen: Professor of Urban Planning and Geography, Taubman College of Architecture and Urban Planning | en_US |
dc.contributor.affiliationum | Frank: Ph.D. Candidate, Taubman College of Architecture and Urban Planning | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/60253/1/Reprint97Nystuen.pdf | |
dc.owningcollname | Mathematical Geography, Institute of (IMaGe) |
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