GPS - Theory, Algorithms and Applications | Guochang Xu | SpringerView Publication. Geographic information has spawned many novel Web applications where global positioning system GPS plays important roles in bridging the applications and end users. However, so far, raw GPS data are still used directly without much understanding. In this paper, an approach based on supervised learning is proposed to automatically infer transportation mode from raw GPS data. The transportation mode, such as walking, driving, etc. Our approach consists of three parts: a change point-based segmentation method, an inference model and a post-processing algorithm based on conditional probability.
Learning Transportation Mode from Raw GPS Data for Geographic Application on the Web
The GPS does not require the user to transmit any data, and it operates independently of any telephonic or internet reception, though these technologies can enhance the usefulness of the GPS positioning information. The GPS provides critical positioning capabilities to military, civil, and commercial users around the world. The United States government created the system, maintains it, and makes it freely accessible to anyone with a GPS receiver. The GPS project was started by the U. Department of Defense in , with the first prototype spacecraft launched in and the full constellation of 24 satellites operational in Originally limited to use by the United States military, civilian use was allowed from the s. In , the U.
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