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Article
License: CC BY
Data sources: UnpayWall
https://doi.org/10.1109/itcgi....
Article . 2018 . Peer-reviewed
Data sources: Crossref
DBLP
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Space Colonisation for Procedural Road Generation

Authors: Gabriel Dias Fernandes; António Ramires Fernandes;

Space Colonisation for Procedural Road Generation

Abstract

Procedural road layout generation has been traditionally approached using L-Systems, with some works exploring alternative avenues. Although originally conceived for biological systems modelling, the adequacy of L-Systems as a base for road generation has been demonstrated in several works. In this context, we present an alternative approach for procedural road layout generation that is also inspired by plant generation algorithms: space colonisation. In particular, we use the concept of attraction points introduced in space colonisation as the base of our approach to produce road layouts, both in urban and inter-city environments. As will be shown, the usage of attraction points provides an intuitive way to parameterise a road layout. Our method can also be used with flow-fields, demographics, geographical, and boundary maps to further fine tune the layout.

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Portugal
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Keywords

L-systems, procedural road generation, space colonisation

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
6
Top 10%
Average
Average
3
Green