Abstract
In recent years, a number of studies have been done on GPS (Global Positioning System) due to the wide applications. One important research issue is on the GPS navigation. In this paper, we propose a novel data mining algorithm named PA TE (Prediction-based Algorithm for Travel time Evaluation) that can efficiently predict the travel time of a navigation path and precisely recommends the navigation path to the users under a user-specified travel time constraint in road network environments. To our best knowledge, this is the first work on discovering the shortest navigation path within a travel time constraint. Furthermore, we propose a novel search structure named NPST (Navigation Path Search Tree) for efficiently finding the shortest navigation path that meets the user-specified travel time constraint Through a series of experiments, the proposed method was shown to have excellent performance under different system conditions.
Original language | English |
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Pages | 593-598 |
Number of pages | 6 |
DOIs | |
Publication status | Published - 2008 Dec 1 |
Event | 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008 - Beijing, China Duration: 2008 Dec 10 → 2008 Dec 12 |
Other
Other | 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008 |
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Country | China |
City | Beijing |
Period | 08-12-10 → 08-12-12 |
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Mechanical Engineering
- Computer Science Applications