Abstract
In this paper, we present a task allocation model for search and rescue persons with disabilities in case of disaster. The multi agent-based simulation model is used to simulate the rescue process. Volunteers and disabled persons are modeled as agents, which each have their own attributes and behaviors. The task of volunteers is to help disabled persons in emergency situations. This task allocation problem is solved by using combinatorial auction mechanism to decide which volunteers should help which disabled persons. The disaster space, road network, and rescue process are also described in detail. The RoboCup Rescue simulation platform is used to present proposed model with different scenarios.
Highlights
Persons with disabilities suffer a much higher risk in the case of disasters than persons without disabilities
The decision making of volunteers to help persons with disability is presented as task allocation problem
The disabled persons are considering as the tasks, and these tasks are allocated to volunteers by utilizing combinatorial auctions mechanism
Summary
Persons with disabilities suffer a much higher risk in the case of disasters than persons without disabilities. The data of recent disasters i.e. Tsunami, Katrina and earthquake shows that the mortality of disabled people during the disaster were very high (Ashok Hans, 2009) The reason for this is because many handicapped people may face physical barriers or difficulties of communication that they are not able to respond effectively to crisis situations. A multi agent-based model is composed of individual units, situated in an explicit space, and provided with their own attributes and rules [2]. Geographic Information Systems (GIS) is integrated with multi-agent-based model for emergency simulation. We develop a task allocation model for search and rescue persons with disabilities and simulate the rescue process to capture the phenomena and complexities during evacuations.
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