Research Article
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 |
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