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

Table 8

Estimation results of the crowding-sensitive train capacity scenario.

Category	Variable Name	“True”	Estimated Parameters
			GA	SA	NMSA	MADS	SPSA	BYO	CORS
Path choice	In-vehicle time	−0.147	−0.472	−0.217	−0.228	−0.332	−0.177	−0.195	−0.196
	Relative walking time	−1.271	−2.533	−1.575	−2.735	−1.568	−2.118	−1.763	−2.534
	Number of transfers	−0.573	−0.759	−1.169	−1.323	−0.816	−0.495	−0.892	−0.734
	Commonality factor	−3.679	−6.489	−6.324	−7.040	−7.834	−4.361	−6.046	−5.021
Train capacity		225	238	244	238	245	244	237	237
		0.2	0.166	0.149	0.121	0.112	0.140	0.085	0.099
		0.2	0.080	0.114	0.125	0.144	0.129	0.123	0.110
Objective function		—	765,621	320,745	231,228	502,341	199,753	335,558	169,057