Learning and inferring transportation routines
نویسندگان
چکیده
منابع مشابه
Learning and Inferring Transportation Routines
This paper introduces a hierarchical Markov model that can learn and infer a user’s daily movements through an urban community. The model uses multiple levels of abstraction in order to bridge the gap between raw GPS sensor measurements and high level information such as a user’s destination and mode of transportation. To achieve efficient inference, we apply Rao-Blackwellized particle filters ...
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ژورنال
عنوان ژورنال: Artificial Intelligence
سال: 2007
ISSN: 0004-3702
DOI: 10.1016/j.artint.2007.01.006