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

Author:

Yu Bin1,Dong Zhihui2,Liu Hu3,Ye Jianhong1,Wang Daoge4

Affiliation:

1. Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, P.R.C.

2. Inner Mongolia Traffic Design and Research Institute Company Limited, Inner Mongolia, P.R.C.

3. School of Rail Transportation, Shanghai Institute of Technology, P.R.C.

4. School of Automotive and Traffic Engineering, Jiangsu University, P.R.C.

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.

Publisher

IOS Press

Subject

Artificial Intelligence

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Integrated modeling of crowd groups based on spatial distribution of members;Journal of Statistical Mechanics: Theory and Experiment;2024-07-03

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