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PREDICTION OF DESTINATIONS AND ROUTES IN URBAN TRIPS WITH AUTOMATED IDENTIFICATION OF PLACE TYPES AND STAY POINTS
2018
Revista Brasileira de Cartografia
Predicting the destination and the route that someone is likely to take is useful for various purposes, such as to prevent people from going through congested routes. Most of existing approaches to this prediction problem only consider geographic patterns within their models, although this appears to be not enough for creating a robust predictor. This paper proposes an approach to improving the task of predicting route and destination which makes use of further semantic information associated
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fatcat:dlxivr5fdzdarpr5vmwhatdmpy