A cognitive-based routing algorithm for crowd dynamics under incomplete or even incorrect map knowledge

IF 1.9 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Intelligenza Artificiale Pub Date : 2023-06-07 DOI:10.3233/ia-221061
Bin Yu, Zhihui Dong, Hu Liu, Jianhong Ye, Daoge Wang
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Abstract

A cognitive-based routing algorithm is proposed. Concepts like local form and path algorithms are developed. Unlike current mainstream routing algorithms assume that all people know everything about the environment, the proposed algorithm allows people to have a complete or incomplete map knowledge and built up their own map knowledge in a piecemeal fashion. Using a hospital floor plan as the scenario, numerical experiments are conducted by assuming pedestrians to have different levels of map knowledge. Results show that reasonable routes could be frequently found even if pedestrians only have an incomplete knowledge of the network. Also pedestrians generally need to traverse more rooms if having zero or less map knowledge. Hence the proposed algorithm’s effectiveness is validated to some extent.
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一种基于认知的地图知识不完全甚至不正确的人群动态路由算法
提出了一种基于认知的路由算法。发展了局部形式和路径算法等概念。与目前主流的路由算法假设所有人都知道环境的一切不同,该算法允许人们拥有完整或不完整的地图知识,并以零敲碎打的方式建立自己的地图知识。以某医院平面图为场景,假设行人具有不同程度的地图知识,进行数值实验。结果表明,即使行人对网络只有不完全的了解,也能经常找到合理的路线。此外,如果行人对地图的了解为零或更少,则通常需要穿越更多的房间。从而在一定程度上验证了该算法的有效性。
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来源期刊
Intelligenza Artificiale
Intelligenza Artificiale COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
3.50
自引率
6.70%
发文量
13
期刊最新文献
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