An Activity-Based Travel Personalization Tool Driven by the Genetic Algorithm

Table 2

The input information of the daily activities.

Activity types	The ID of the activity	Latitude	Longitude	Activity processing time	Spatiotemporal priority	Activity location TW open	Activity location TW close	Demanded starting time	Demanded closing time
Start (home)	0	47,50243	19,05297	0	1	00:00	23:59	08:00	19:30
College	1	47,48147	19,05563	300	1	07:00	22:00	09:00	14:00
Asian restaurant	2	47,48829	19,05813	45	2	12:00	23:00	14:30	15:15
Hair salon	3	47,50774	19,05468	30	4	09:00	19:00	15:45	16:15
Bookshop	4	47,49606	19,05629	30	3	08:00	21:00	16:45	17:15
Pharmacy and health	5	47,50682	19,05230	20	4	08:00	20:00	17:45	18:05
Electronics store	6	47,51398	19,05925	20	4	08:00	20:00	18:30	18:50
End (home)	7	47,5024	19,05297	0	1	00:00	23:59	08:00	19:30