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关于机械模型的研究,考虑在瓶区域的最佳自我适应
Longcheng Yang1,2, Huajun Wang1, Jun Hu2
1Key Laboratory of Earth Exploration and Information Technology of Ministry of Education, Chengdu University of Technology, Chengdu, 610059, China.
Heliyon
|April 4, 2024
概括
本研究引入了一种新的人群疏散模型,以提高多出口场景中的模拟精度. 改进后的模型优化了行人路径的选择和分布,导致更现实的和高效的疏散,特别是在拥挤的条件下.
科学领域:
- 计算社会科学 计算社会科学
- 交通和运输工程 交通和运输工程
- 基于代理的建模模型
背景情况:
- 传统的社会力量模型在多出口场景中不准确地模拟了行人疏散,特别是在最佳路径选择和群体行为方面.
- 现有的模型与现实世界人群动态的复杂性作斗争,导致模拟和实际疏散状态之间的差异.
研究的目的:
- 开发一种新的人群疏散优化模型,以提高在多出口环境中的模拟精度.
- 解决传统模型关于最短路径假设和疏散行为的局部最佳情况的局限性.
主要方法:
- 开发了一个新的模型,集成运动方向的现场模型,考虑出口距离,行人分布和拥挤.
- 采用集中和分布式网络模型进行全球优化,并采用大象牧养算法进行本地优化.
- 通过与改进的社会力量模型进行实验性比较来验证模型,并分析了关键影响因素.
主要成果:
- 新模型优化了疏散早期的路径选择,并提高了后来的效率,确保了对出口的行人分布.
- 模拟显示了一个更现实的疏散过程,对于较大的行人群来说,显著提高了效率.
- 该模型有效地减轻了多出口疏散期间人群密度高所造成的混乱.
结论:
- 拟议的模型在模拟多出口行人疏散的传统方法上提供了显著的改进.
- 它为优化人群流动和在复杂,高密度场景中提高安全性提供了一个强大的框架.
- 这些发现强调了考虑全球和本地优化策略对于现实的群众行为建模的重要性.
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