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Route-preserving Road Network Generalization

Published: 13 November 2020 Publication History

Abstract

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.

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  • (2022)A road network simplification algorithm that preserves topological propertiesApplied Network Science10.1007/s41109-022-00521-87:1Online publication date: 1-Dec-2022

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cover image ACM Conferences
SIGSPATIAL '20: Proceedings of the 28th International Conference on Advances in Geographic Information Systems
November 2020
687 pages
ISBN:9781450380195
DOI:10.1145/3397536
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Publication History

Published: 13 November 2020

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Author Tags

  1. algorithms
  2. data-driven
  3. map generalization
  4. optimization
  5. road networks
  6. trajectories

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  • Refereed limited

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  • NWO

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Overall Acceptance Rate 257 of 1,238 submissions, 21%

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  • (2022)A road network simplification algorithm that preserves topological propertiesApplied Network Science10.1007/s41109-022-00521-87:1Online publication date: 1-Dec-2022

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