Research on Automatic Generation of Park Road Network Based on Skeleton Algorithm

This article primarily delves into the automatic generation approach of the park road network. The design of the park road network not only comprehensively takes into account environmental factors like terrain, vegetation, water bodies, and buildings, but also encompasses functional factors such as road coverage and accessibility. It constitutes a relatively complex design task, and traditional design methods rely significantly on the professional proficiency of designers. Based on the park vector terrain, in combination with the graphics skeleton algorithm, this study proposes an automatic generation method of the park road network considering environmental constraints. Through the utilization of the modified Douglas–Peucker algorithm and convex hull operation, the semantic information of environmental constraints is retained, domain knowledge is integrated, the skeleton graph is optimized, and issues such as road smoothness are addressed. This method can not only generate road network schemes rapidly, scientifically, and precisely, but also furnish the requisite digital model for the quantitative evaluation of the road network. Eventually, the study quantitatively assesses the experimental results via the spatial syntax theory to substantiate the efficacy of the method.

Authors

Institutions

Publication Details

Journal
Applied Sciences
Published
2024-09-20
DOI
https://doi.org/10.3390/app14188475
Citations
3
Primary Topic
Automated Road and Building Extraction
Type
article
Field-Weighted Citation Impact
1.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Research on Automatic Generation of Park Road Network Based on Skeleton Algorithm

H. M. Liu, Tianyuan Zhou, Shuo‐Fang Liu, Min Jiang et al.
3 citations
Applied Sciences
Automated Road and Building Extraction
1.01
article

Research on Automatic Generation of Park Road Network Based on Skeleton Algorithm

H. M. Liu, Tianyuan Zhou, Shuo‐Fang Liu, Min Jiang, Siran Bai
article en
3 citations

Abstract

This article primarily delves into the automatic generation approach of the park road network. The design of the park road network not only comprehensively takes into account environmental factors like terrain, vegetation, water bodies, and buildings, but also encompasses functional factors such as road coverage and accessibility. It constitutes a relatively complex design task, and traditional design methods rely significantly on the professional proficiency of designers. Based on the park vector terrain, in combination with the graphics skeleton algorithm, this study proposes an automatic generation method of the park road network considering environmental constraints. Through the utilization of the modified Douglas–Peucker algorithm and convex hull operation, the semantic information of environmental constraints is retained, domain knowledge is integrated, the skeleton graph is optimized, and issues such as road smoothness are addressed. This method can not only generate road network schemes rapidly, scientifically, and precisely, but also furnish the requisite digital model for the quantitative evaluation of the road network. Eventually, the study quantitatively assesses the experimental results via the spatial syntax theory to substantiate the efficacy of the method.

Applied SciencesVol. 14(18)
Wuhan University (CN), Shanghai Tunnel Engineering Rail Transit Design & Research Institute (CN), National Cheng Kung University (TW)
Openalex Percentile: Top 25%
Automated Road and Building Extraction
1.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.