Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm Article Swipe
Weili Liu
,
Yixin Chen
,
Xiang Li
,
Jinghui Zhong
,
Rongjun Chen
,
Hu Jin
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23919/csms.2024.0020
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.23919/csms.2024.0020
Guardrails commonly play a significant role in guiding pedestrians and managing crowd flow to prevent congestion in public places. However, existing methods of the guardrail layout mainly rely on manual design or mathematical models, which are not flexible or effective enough for crowd control in large public places. To address this limitation, this paper introduces a novel automated optimization framework for guidance guardrails based on a multi-objective evolutionary algorithm. The paper incorporates guidance signs into the guardrails and designs a coding-decoding scheme based on Gray code to enhance the flexibility of the guardrail layout. In addition to optimizing pedestrian passage efficiency and safety, the paper also considers the situation of pedestrian counterflow, making the guardrail layout more practical. Experimental results have demonstrated the effectiveness of the proposed method in alleviating safety hazards caused by potential congestion, as well as its significant improvements in passage efficiency and prevention of pedestrian counterflow.
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- Landing Page
- https://doi.org/10.23919/csms.2024.0020
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All OpenAlex metadata
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https://openalex.org/W4406046638Canonical identifier for this work in OpenAlex
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https://doi.org/10.23919/csms.2024.0020Digital Object Identifier
- Title
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Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary AlgorithmWork title
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articleOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-12-01Full publication date if available
- Authors
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Weili Liu, Yixin Chen, Xiang Li, Jinghui Zhong, Rongjun Chen, Hu JinList of authors in order
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https://doi.org/10.23919/csms.2024.0020Publisher landing page
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YesWhether a free full text is available
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diamondOpen access status per OpenAlex
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https://doi.org/10.23919/csms.2024.0020Direct OA link when available
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Computer science, Evolutionary algorithm, Optimization algorithm, Algorithm, Mathematical optimization, Artificial intelligence, MathematicsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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40Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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