A Dynamic Information-Based Parking Guidance for Megacities considering Both Public and Private Parking

Table 2

Parameters and setting value.

	Parameter	Parameter setting value
		Case	Case	Case
Experiment I; (demand variation)	The number of generated parking requesting cars () (cars/unit time)	0~500	0~1000	0~2000
	The number of public parking areas (parking facilities)	200	200	200
	The maximum number of generated private parking areas (parking spots/unit time)	0~30	0~30	0~30
	Capacity of public parking facility (parking spots)	0~100	0~100	0~100
	Initial occupancy rate of public parking (%)	0~100	0~100	0~100
Experiment II; (supply variation)	The number of generated parking requesting cars () (cars/unit time)	0~500	0~500	0~500
	The number of public parking areas (parking facilities)	200	200	400
	The maximum number of generated private parking areas (parking spots/unit time)	0~30	0~30	0~60
	Capacity of public parking facility (parking spots)	0~100	0~100	0~100
	Initial occupancy rate of public parking (%)	80~100	80~100	80~100
	Modified downtown area	Small	Normal	Normal
Common parameters of experiment I/II	Simulation period (unit time)	240
	Parking searching radius (km)	2
	Unexpectedly occupied parking spots in parking facility (parking spot/unit time per parking)	0~3
	The number of leaving cars from parking building (parking spot/unit time per parking)	0~3
	Parking cost (unit cost)	1.2~1.8
	Reservation acceptance probability (%)	50
	Rerequesting probability when parking fails (%)	80