摘要：In order to allow tourists to travel to multiple destinations efficiently, we need a personal navigation system which computes and shows the best route to the next destination and facilitates composition of a schedule for visiting those destinations taking account of various requirements such as relative importance among destinations, time restrictions, travel expenses, and so on. There is sometimes a tradeoff between these requirements. In this paper, we extend our existing personal navigation system called P-Tour in the following two ways: (1) allowing users to optimize their tour schedules under multiple conflicting criteria such as total expenses and satisfaction degrees;and (2) navigating users to the next destination in a more efficient way. We have implemented the above extensions and integrated them into P-Tour. Through some experiments, we show the effectiveness of the proposed extensions.
