Daily Commute Time Prediction Based on Genetic Algorithm

Table 1

Variables in the departure time choice models.

Factors	Variables	Values
Gender	Gender	Male: 1, female: 0
Age	Age	Continuous values
		Below 1500 RMB: 1
		1501–2500 RMB: 2
		2501–3500 RMB: 3
Month income	Income	3501–5500 RMB: 4
		5501–10000 RMB: 5
		10001–20000 RMB: 6
		20001–30000 RMB: 7
		Over 30001 RMB: 8
Vocation
Blue-collar worker (manufacture,  construction, maintenance, etc.)	Occu-b	Yes: 1, No: 0
Administration	Occu-a	Yes: 1, No: 0
Education	Occu-e	Yes: 1, No: 0
Services	Occu-s	Yes: 1, No: 0
Health care	Occu-h	Yes: 1, No: 0
Travel mode
Walk	Mode-w	Yes: 1, No: 0
Bike	Mode-bi	Yes: 1, No: 0
Bus	Mode-bu	Yes: 1, No: 0
Auto	Mode-a	Yes: 1, No: 0
Travel distance	Distance	Continuous value (meter)
Dummy variable of going to work	Work	Yes: 1, no: 0 (going to school)