Table A1.

Option set for the GA tool.

Option	Value
Population size	20
Crossover fraction	0.8
Elite count	4
Generation time	1000
Function tolerance	1 e-6
Bounds		AG	AN	AE	,λG	λN	γ	σ	δlim	δmed
	Upper	0	0	0	0	0	0	0	−1	0
	Lower	10	10	10	1	−1	1	1	1	0.5
Cost function	(Expt measure—Sims measure)2
	$$\begin{array}{l}C=\_0.5{\displaystyle {\sum }_{i=1}^3{(e{x}_i-sim{s}_i)}^2}+0.5\{[(e{x}_1-e{x}_2)+(e{x}_2-e{x}_3)+(e{x}_1-e{x}_3)]-\\ [(sim{s}_1-sim{s}_2)+(sim{s}_2-sim{s}_3)+(sim{s}_1-sim{s}_3)]\}\end{array}$$
	“ex” here refers to the experimental stride length values at each of the doorway (1—wide, 2—medium and 3—narrow) and “sims” is the model's ouput to a set of parameter values. The details of the parameters optimized at any given condition is described in section Result.