Learning an Embedding for Vehicle Telematics
Vehicular telematics involves the collection and processing of data about driving behavior; however, mining and modeling this data is difficult due to its large volume. We hypothesize that the data will follow regular patterns of events that occur during drives, and that we can learn these patterns....
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| Formaat: | Thesis |
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Massachusetts Institute of Technology
2024
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| Online toegang: | https://hdl.handle.net/1721.1/156792 |