Samenvatting
We investigate a data-driven approach for road network generalization, where the input is a road network and a collection of routes or trajectories on these roads. The aim is to select a subset of the road network in which many routes of the collection are fully preserved. We formulate the problem and present several heuristic versions of it, as the general problem is NP-hard. We show the outcome of the versions on a data set for comparison purposes.
Originele taal-2 | Engels |
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Titel | Proceedings of the 28th International Conference on Advances in Geographic Information Systems, SIGSPATIAL GIS 2020 |
Redacteuren | Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn Newsam, Li Xiong |
Uitgeverij | Association for Computing Machinery, Inc |
Pagina's | 381-384 |
Aantal pagina's | 4 |
ISBN van elektronische versie | 9781450380195 |
DOI's | |
Status | Gepubliceerd - 3 nov 2020 |
Evenement | 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL GIS 2020 - Virtual, Online, Verenigde Staten van Amerika Duur: 3 nov 2020 → 6 nov 2020 |
Congres
Congres | 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL GIS 2020 |
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Land | Verenigde Staten van Amerika |
Stad | Virtual, Online |
Periode | 3/11/20 → 6/11/20 |