Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm
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 la...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Tsinghua University Press
2024-12-01
|
| Series: | Complex System Modeling and Simulation |
| Subjects: | |
| Online Access: | https://www.sciopen.com/article/10.23919/CSMS.2024.0020 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841550215517044736 |
|---|---|
| author | Wei-Li Liu Yixin Chen Xiang Li Jinghui Zhong Rongjun Chen Hu Jin |
| author_facet | Wei-Li Liu Yixin Chen Xiang Li Jinghui Zhong Rongjun Chen Hu Jin |
| author_sort | Wei-Li Liu |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-bd74497630a6477fbf057eb86d3849cb |
| institution | Kabale University |
| issn | 2096-9929 2097-3705 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Tsinghua University Press |
| record_format | Article |
| series | Complex System Modeling and Simulation |
| spelling | doaj-art-bd74497630a6477fbf057eb86d3849cb2025-01-10T06:47:38ZengTsinghua University PressComplex System Modeling and Simulation2096-99292097-37052024-12-014435336710.23919/CSMS.2024.0020Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary AlgorithmWei-Li Liu0Yixin Chen1Xiang Li2Jinghui Zhong3Rongjun Chen4Hu Jin5School of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510006, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaSchool of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, ChinaSchool of Computer Science, Guangdong Polytechnic Normal University, Guangzhou 510006, ChinaSchool of Electrical Engineering, Hanyang University, Ansan 15588, Republic of KoreaGuardrails 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.https://www.sciopen.com/article/10.23919/CSMS.2024.0020automatical guardrail layout optimizationcrowd simulationmulti-objective evolutionary algorithm |
| spellingShingle | Wei-Li Liu Yixin Chen Xiang Li Jinghui Zhong Rongjun Chen Hu Jin Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm Complex System Modeling and Simulation automatical guardrail layout optimization crowd simulation multi-objective evolutionary algorithm |
| title | Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm |
| title_full | Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm |
| title_fullStr | Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm |
| title_full_unstemmed | Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm |
| title_short | Automatic Optimization of Guidance Guardrail Layout Based on Multi-Objective Evolutionary Algorithm |
| title_sort | automatic optimization of guidance guardrail layout based on multi objective evolutionary algorithm |
| topic | automatical guardrail layout optimization crowd simulation multi-objective evolutionary algorithm |
| url | https://www.sciopen.com/article/10.23919/CSMS.2024.0020 |
| work_keys_str_mv | AT weililiu automaticoptimizationofguidanceguardraillayoutbasedonmultiobjectiveevolutionaryalgorithm AT yixinchen automaticoptimizationofguidanceguardraillayoutbasedonmultiobjectiveevolutionaryalgorithm AT xiangli automaticoptimizationofguidanceguardraillayoutbasedonmultiobjectiveevolutionaryalgorithm AT jinghuizhong automaticoptimizationofguidanceguardraillayoutbasedonmultiobjectiveevolutionaryalgorithm AT rongjunchen automaticoptimizationofguidanceguardraillayoutbasedonmultiobjectiveevolutionaryalgorithm AT hujin automaticoptimizationofguidanceguardraillayoutbasedonmultiobjectiveevolutionaryalgorithm |