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Sensitivity Analysis for Resilient Safety Design: Application to a Bottleneck Scenario
Microscopic crowd simulations have become an essential tool to devise safety strategies within built environments. Evacuating a building means guiding pedestrians through a series of corridors and doors, that is, a series of bottlenecks. Thus, bottlenecks are of particular importance in simulation studies. Simulation models depend on a number of parameters whose exact values are often unknown. Prominent examples are the number of pedestrians or their free-flow speeds. We carry out sensitivity studies to analyze the system behaviour when crucial model parameters are varied. We compute Sobol’ indices using polynomial chaos expansion to identify parameters with a strong impact on important evacuation quantities such as the density in front of the bottleneck. A further difficulty in this process arises from the fact that many simulation models, including the one we use, are not strictly deterministic. In this paper, we propose a pragmatic approach to deal with this stochasticity of the simulation model.
Sensitivity Analysis for Resilient Safety Design: Application to a Bottleneck Scenario
Microscopic crowd simulations have become an essential tool to devise safety strategies within built environments. Evacuating a building means guiding pedestrians through a series of corridors and doors, that is, a series of bottlenecks. Thus, bottlenecks are of particular importance in simulation studies. Simulation models depend on a number of parameters whose exact values are often unknown. Prominent examples are the number of pedestrians or their free-flow speeds. We carry out sensitivity studies to analyze the system behaviour when crucial model parameters are varied. We compute Sobol’ indices using polynomial chaos expansion to identify parameters with a strong impact on important evacuation quantities such as the density in front of the bottleneck. A further difficulty in this process arises from the fact that many simulation models, including the one we use, are not strictly deterministic. In this paper, we propose a pragmatic approach to deal with this stochasticity of the simulation model.
Sensitivity Analysis for Resilient Safety Design: Application to a Bottleneck Scenario
Smart Innovation, Systems and Technologies
Littlewood, John (editor) / Howlett, Robert J. (editor) / Jain, Lakhmi C. (editor) / Kurtc, Valentina (author) / Köster, Gerta (author) / Fischer, Rainer (author)
2020-12-08
10 pages
Article/Chapter (Book)
Electronic Resource
English
| Wiley | 2024
| Wiley | 2024