Task Allocation Model for Rescue Disabled Persons in Disaster Area with Help of Volunteers

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.

[1]  Silvia Suáreza,et al.  Improving Rescue Operations in Disasters : Approaches about Task Allocation and rescheduling , 2005 .

[2]  Luke Hunsberger,et al.  A combinatorial auction for collaborative planning , 2000, Proceedings Fourth International Conference on MultiAgent Systems.

[3]  Kohei Arai,et al.  Multi Agent-based Rescue Simulation for Disable Persons with the Help from Volunteers in Emergency Situations , 2012 .

[4]  Patrick Taillandier,et al.  GAMA: A Simulation Platform That Integrates Geographical Information Data, Agent-Based Modeling and Multi-scale Control , 2010, PRIMA.

[5]  M. T. Escrig,et al.  Task allocation in rescue operations using combinatorial auctions , 2003 .

[6]  Takayuki Ito,et al.  Task Allocation in the RoboCup Rescue Simulation Domain: A Short Note , 2001, RoboCup.

[7]  Wai Kin Chan,et al.  Agent-based modeling for household level hurricane evacuation , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[8]  D. Johnston,et al.  GIS-Based emergency and evacuation planning for volcanic hazards in New Zealand , 2005 .

[9]  Ho-fung Leung,et al.  Multi-auction Approach for Solving Task Allocation Problem , 2009, PRIMA.

[10]  Alexis Drogoul,et al.  Interactive Learning of Independent Experts' Criteria for Rescue Simulations , 2009, J. Univers. Comput. Sci..

[11]  Tuomas Sandholm,et al.  Algorithm for optimal winner determination in combinatorial auctions , 2002, Artif. Intell..

[12]  Mihai Horia Zaharia,et al.  Agent-based simulation of crowd evacuation behavior , 2009 .

[13]  Kohei Arai,et al.  Multi Agent-based Rescue Simulation for Disabled Persons with the Help of Volunteers in Emergency Situation , 2012 .

[14]  Michael Batty,et al.  Agent-Based Technologies and GIS: Simulating Crowding, Panic, and Disaster Management , 2006 .