Calibrating Path Choices and Train Capacities for Urban Rail Transit Simulation Models Using Smart Card and Train Movement Data

Table 7

Estimation results of the crowding-insensitive train capacity scenario.

Category	Variable Name	“True”	Estimated Parameters
			GA	SA	NMSA	MADS	SPSA	BYO	CORS
Path choice	In-vehicle time	−0.147	−0.392	−0.181	−0.254	−0.460	−0.191	−0.197	−0.177
	Relative walking time	−1.271	−2.153	−2.044	−2.636	−2.294	−2.284	−2.469	−2.025
	Number of transfers	−0.573	−1.127	−1.614	−1.279	−0.490	−0.760	−0.908	−1.011
	Commonality factor	−3.679	−6.489	−6.500	−7.492	−7.750	−5.299	−5.474	−5.130
Train capacity		235	239	245	249	230	241	238	236
		0	0.088	0.109	0.096	0.050	0.096	0.093	0.084
		0	0.05	0.058	0.108	0.050	0.150	0.078	0.063
Objective function		—	700,441	418,196	277,835	553,765	241,533	305,846	277,212