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Parameter Calibration in Crowd Simulation Models using Approximate Bayesian Computation

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Figure

Fig. 1 Illustration of Approximate Bayesian Computation. Steps 1-5 labelled in the figure are explained in the text
Fig. 2: Measures used to compare experimental data to simulations. Panel (a) shows the time it takes 30 pedestrians to pass through the bottleneck, after the first 10 pedestrians have exited
Fig. 3: Marginal posterior distributions for parameters in the SF model. The solid red line indicates the posterior obtained using the speed field distance measure, the dashed blue line shows the posterior obtained using the egress

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