Optimization of Bus Bridging Service under Unexpected Metro Disruptions with Dynamic Passenger Flows

Table 2

Passengers flow demands in the numerical case.

stations	upward		downward
	Initial stranded; passengers	Arrival rates; (units: min^−1)	Initial stranded; passengers	Arrival rates; (units: min^−1)
S1	300	19	—	—
S2	200	9	100	10
S3	140	8	150	11
S4	120	8	130	8
S5	170	7	210	7
S6	200	11	150	7
S7	—	—	400	19