Population evacuation path optimization based on potential field ant colony and extended cellular automata.

ABSTRACT: An effective safety evacuation program is an important basis for safeguarding the lives of people, and reasonable planning of evacuation routes is of great significance for formulating personnel evacuation plans. This article considers the global search ability of the ant colony algorithm and the local search ability of the artificial potential field. The artificial potential field is integrated into the ant colony algorithm, and combined with the extended Moore type cellular automata, an extended cellular automata model based on the potential field ant colony algorithm is proposed to optimize the calculation of personnel evacuation and path planning in the evacuation area. Analyze the performance of different algorithms in planning path smoothness, total path length, and calculation time

SUBMITTER: Liu T 

PROVIDER: S-EPMC11623788 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature