TY - GEN
T1 - Feasible route determination using ant colony optimization in evacuation planning
AU - Rahman, Arief
AU - Mahmood, Ahmad Kamil
PY - 2007
Y1 - 2007
N2 - The most complex aspect of people movement on emergency condition is how to select the shortest way out from multi exit ways in the multi-floors building. The purpose of this paper is to demonstrate how an Ant Colony Optimization (ACO) can be used in evacuation planning. Modified ACO applied as the algorithm to determine the feasible route during emergency evacuation. Physical obstacle during building evacuation such as bottleneck or disaster problem has been considered in transitional probability rule of ACO. By creating exit sign (an agent) with ACO as the algorithm, this agent decides the feasible route and guides the occupant during the evacuation. Two scenarios present to observe the performance of two different approaches in making decision during evacuation. When the obstacle appeared, route selection based on ACO algorithm has faster total evacuation time significantly than familiarity of environment exit method.
AB - The most complex aspect of people movement on emergency condition is how to select the shortest way out from multi exit ways in the multi-floors building. The purpose of this paper is to demonstrate how an Ant Colony Optimization (ACO) can be used in evacuation planning. Modified ACO applied as the algorithm to determine the feasible route during emergency evacuation. Physical obstacle during building evacuation such as bottleneck or disaster problem has been considered in transitional probability rule of ACO. By creating exit sign (an agent) with ACO as the algorithm, this agent decides the feasible route and guides the occupant during the evacuation. Two scenarios present to observe the performance of two different approaches in making decision during evacuation. When the obstacle appeared, route selection based on ACO algorithm has faster total evacuation time significantly than familiarity of environment exit method.
KW - Ant colony optimization
KW - Exit sign and evacuation planning
KW - Multi-agent
UR - http://www.scopus.com/inward/record.url?scp=50449103136&partnerID=8YFLogxK
U2 - 10.1109/SCORED.2007.4451424
DO - 10.1109/SCORED.2007.4451424
M3 - Conference contribution
AN - SCOPUS:50449103136
SN - 1424414709
SN - 9781424414703
T3 - 2007 5th Student Conference on Research and Development, SCORED
BT - 2007 5th Student Conference on Research and Development, SCORED
T2 - 2007 5th Student Conference on Research and Development, SCORED
Y2 - 11 December 2007 through 12 December 2007
ER -