Joint Operating Revenue and Passenger Travel Cost Optimization in Urban Rail Transit

Table 4

The objective function values and the respective optimal train operating speed obtained by the fuzzy multiobjective optimization algorithm.

Value of	Value of	(m/s)	(CNY/train)	(CNY/train)
	(0.0,1.0)	18.3	491.50	9.13
	(0.2,0.8)	18.3	491.50	9.13
	(0.4,0.6)	18.3	491.50	9.13
	(0.5,0.5)	18.3	491.50	9.13
	(0.6,0.4)	18.3	491.50	9.13
	(0.8,0.2)	18.3	491.50	9.13
	(1.0,0.0)	11.5	578.60	10.77
	(0.0,1.0)	18.3	491.50	9.13
	(0.2,0.8)	18.3	491.50	9.13
	(0.4,0.6)	18.3	491.50	9.13
	(0.5,0.5)	18.3	491.50	9.13
	(0.6,0.4)	18.3	491.50	9.13
	(0.8,0.2)	11.5	578.60	10.77
	(1.0,0.0)	11.5	578.60	10.77
	(0.0,1.0)	18.3	491.50	9.13
	(0.2,0.8)	11.5	578.60	10.77
	(0.4,0.6)	11.5	578.60	10.77
	(0.5,0.5)	11.5	578.60	10.77
	(0.6,0.4)	11.5	578.60	10.77
	(0.8,0.2)	11.5	578.60	10.77
	(1.0,0.0)	11.5	578.60	10.77

Note: because the optimization result shows that , then we use to express average train operating speed in every section.