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Improved System for Modeling and Simulating Stadium Evacuation Plans
AbstractUnder the circumstances of natural disasters or anthropogenic hazards, the crowd inside large-occupancy facilities needs to be evacuated. The goal of evacuation plans is to safely evacuate a crowd as fast as possible. But there is need for an accurate estimate of the total evacuation time and bottleneck occurrences. This study presents an innovative simulation methodology and algorithm with modified parameters intended to improve the simulation and analysis of the evacuations methods used in stadiums. The evacuation simulations are categorized according to the types of emergent situations and the number of evacuees. Each simulation is validated based on real-time data collected through observations and published literature. Dijkstra’s algorithm is reconstructed using modified parameters, i.e., revised triangular distribution and normal distribution for walking speeds and empirical distribution for crowd behaviors. The simulation results demonstrate that the P-values of the system with normal distribution will yield statistically better equivalencies than those of triangular distribution. The results will help designers in analyzing evacuation design with enhanced confidence in total evacuation time and bottleneck prediction.
Improved System for Modeling and Simulating Stadium Evacuation Plans
AbstractUnder the circumstances of natural disasters or anthropogenic hazards, the crowd inside large-occupancy facilities needs to be evacuated. The goal of evacuation plans is to safely evacuate a crowd as fast as possible. But there is need for an accurate estimate of the total evacuation time and bottleneck occurrences. This study presents an innovative simulation methodology and algorithm with modified parameters intended to improve the simulation and analysis of the evacuations methods used in stadiums. The evacuation simulations are categorized according to the types of emergent situations and the number of evacuees. Each simulation is validated based on real-time data collected through observations and published literature. Dijkstra’s algorithm is reconstructed using modified parameters, i.e., revised triangular distribution and normal distribution for walking speeds and empirical distribution for crowd behaviors. The simulation results demonstrate that the P-values of the system with normal distribution will yield statistically better equivalencies than those of triangular distribution. The results will help designers in analyzing evacuation design with enhanced confidence in total evacuation time and bottleneck prediction.
Improved System for Modeling and Simulating Stadium Evacuation Plans
Weerasekara, Nirmal N (author) / Xie, Haiyan / Issa, Raja R. A
2017
Article (Journal)
English
BKL:
56.03
/
56.03
Methoden im Bauingenieurwesen
Local classification TIB:
770/3130/6500
Improved System for Modeling and Simulating Stadium Evacuation Plans
Online Contents | 2016
|Improved System for Modeling and Simulating Stadium Evacuation Plans
British Library Online Contents | 2017
|