Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps.
In: Integrated Computer-Aided Engineering, 2024-04-09, S. 1-17
academicJournal
Zugriff:
Railway alignment development in a study area with densely-distributed obstacles, in which regions favorable for alignments are isolated (termed an isolated island effect, i.e., IIE), is a computation-intensive and time-consuming task. To enhance search efficiency and solution quality, an environmental suitability analysis is conducted to identify alignment-favorable regions (AFRs), focusing the subsequent alignment search on these areas. Firstly, a density-based clustering algorithm (DBSCAN) and a specific criterion are customized to distinguish AFR distribution patterns: continuously-distributed AFRs, obstructed effects, and IIEs. Secondly, a study area characterized by IIEs is represented with a semantic topological map (STM), integrating between-island and within-island paths. Specifically, between-island paths are derived through a multi-directional scanning strategy, while within-island paths are optimized using a Floyd-Warshall algorithm. To this end, the intricate alignment optimization problem is simplified into a shortest path problem, tackled with conventional shortest path algorithms (of which Dijkstra’s algorithm is adopted in this work). Lastly, the proposed method is applied to a real case in a mountainous region with karst landforms. Numerical results indicate its superior performance in both construction costs and environmental suitability compared to human designers and a prior alignment optimization method. [ABSTRACT FROM AUTHOR]
Titel: |
Railway alignment optimization in regions with densely-distributed obstacles based on semantic topological maps.
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Autor/in / Beteiligte Person: | Wan, Xinjie ; Pu, Hao ; Schonfeld, Paul ; Song, Taoran ; Li, Wei ; Peng, Lihui |
Zeitschrift: | Integrated Computer-Aided Engineering, 2024-04-09, S. 1-17 |
Veröffentlichung: | 2024 |
Medientyp: | academicJournal |
ISSN: | 1069-2509 (print) |
DOI: | 10.3233/ica-240739 |
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