Cruise Terminal Emergency Evacuation Decision Path Planning on Account of Ant Colony Algorithm

Abstract

In case of emergency, the evacuation of tourists must be improved, and the design of cruise ship should be more efficient in spatial layout, which needs to be designed on the spatial topology model and the emergency evacuation model of tourists. In this paper, FDS _ EVAC software is used to build the emergency evacuation decision-making path planning model of the cruise terminal, and then the data analysis of other factors in the algorithm model is carried out. The built-in plug-in Python is used for data analysis. The code involved in the cruise terminal automatically plans the optimal path through multiple logic 1,2,3... N, select the most appropriate and optimal path according to the actual situation of the cruise terminal, such as path N. The algorithm model adopted this time is C language, using C language to realize the whole process of the algorithm code. This paper studies the emergency evacuation decision-making path planning of cruise terminal based on ant colony algorithm, and explains the relevant content and working principle of emergency evacuation decision-making path planning of cruise terminal. The test results show that the ant colony algorithm-based emergency evacuation decision-making path planning of cruise terminals has a more efficient performance in emergency evacuation decision-making path planning of cruise terminals.