Research Article

Metro Timetabling for Time-Varying Passenger Demand and Congestion at Stations

Table 8

Computational results for BML4.

Scenario        Gap (%)

Case (a-1)Non-cyclic3.86653.05557.4898313.1788-
3869 sCyclic5.32373.09437.2385303.992520.38
Cyclic4.98053.09857.489831-

Case (a-2)Non-cyclic11.4264.38989.2418377.7869-
1544 sCyclic10.6534.40609.241837-

Case (a-3)Non-cyclic19.5684.79539.45663812.426-
1133 sCyclic18.8914.8169.495838-

Case (b)Non-cyclic2.24162.15015.9624251.9902-
3932 sCyclic4.41702.16324.9379213.174837.31

Case (c-1)Non-cyclic0.54821.02564.3421190.7004-
6848 sCyclic1.27441.09463.3695141.095736.08

Case (c-2)Non-cyclic1.14151.50616.0564261.2342-
4068 sCyclic3.81001.55333.9911172.645953.53