AGENT-BASED EVACUATION IN PASSENGER SHIPS USING A GOAL-DRIVEN DECISION-MAKING MODEL

Authored by Baocheng Ni, Zhen Li, Xiang Li

Date Published: 2017

DOI: 10.1515/pomr-2017-0050

Sponsors: Chinese National Natural Science Foundation

Platforms: No platforms listed

Model Documentation: Other Narrative Mathematical description

Model Code URLs: Model code not found

Abstract

A new agent-based model is proposed to support designers in assessing the evacuation capabilities of passenger ships and in improving ship safety. It comprises models for goal-driven decision-making, path planning, and movement. The goal-driven decision-making model determines an agent's target by decomposing abstract goals into subgoals. The path-planning model plans the shortest path from the agent's current position to its target. The movement model is a combination of social-force and steering models to control the agent in moving along its path. The utility of the proposed model is verified using 11 tests for passenger ships proposed by the Maritime Safety Committee of the International Maritime Organization.

Tags

Agent-based model Simulation Crowd dynamics Social force model Pedestrian dynamics Human-behavior Ship evacuation analysis Goal-driven decision-making model Steering behavior