Research and Implementation of Online Travel Planning System

With the improvement of living standard, self-help tourism has become a trend and promoted the rapid development of tourism. But the existing travel sites can't meet the needs of self-travel. In view of this situation, a set of online travel planning system was proposed to provide quality tourism services for the self-help tourists. Win8 platform was used in this paper. The genetic algorithm was used. Based on the traveling salesman model, the self-help tourism itinerary planning problem was deeply studied. The factors such as heat, location, distance between spots and tour time were integrated. Finally, a complete set of more reasonable, human and intelligent travel recommendation system was drawn, the need for tourists to self-help to plan a tourist route within a city area can be met.