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Weighted affordance-based agent modeling and simulation in emergency evacuation

Title
Weighted affordance-based agent modeling and simulation in emergency evacuation
Author
류호경
Keywords
Affordance; Markov Decision Process; Agent-based simulation; Task Load Index; Evacuation simulation
Issue Date
2017-03
Publisher
ELSEVIER SCIENCE BV
Citation
SAFETY SCIENCE, v. 96, page. 209-227
Abstract
This paper presents an agent-based human behavioral modeling framework to analyze probable human actions, in emergency situations, considering both physical and psychological dimensions, in emergency situations. Human's prospective controls suggest that the environment can offer certain physical and psychological conditions to opt for a finite number of feasible human actions that lead to desired system states. A set of possible human actions is then generated and updated from the affordance-effectivity duals in a spatial-temporal dimension. In this paper, a reward and cost-based dynamic affordance-based agent model is built upon physical and psychological constraints that are inserted for the agents' decision-making processes. The model employs Markov Decision Process (MDP), and NASA-TLX (Task Load Index) is used as cost and reward estimates. The action selection process of human agents, i.e., triggering of state transitions, is stochastically modeled in accordance with the action-state cost (load) values. A series of affordance-based numerical values are calculated for predicting prospective actions in the system. Finally, an evacuation simulation example based on the proposed model is illustrated to verify the proposed human behavioral modeling framework. (C) 2017 Elsevier Ltd. All rights reserved.
URI
https://www.sciencedirect.com/science/article/pii/S0925753517307026?via%3Dihubhttp://repository.hanyang.ac.kr/handle/20.500.11754/113079
ISSN
0925-7535; 1879-1042
DOI
10.1016/j.ssci.2017.04.005
Appears in Collections:
GRADUATE SCHOOL OF TECHNOLOGY & INNOVATION MANAGEMENT[S](기술경영전문대학원) > TECHNOLOGY MANAGEMENT(기술경영학과) > Articles
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