Arrival Time Predictions for Buses using Recurrent Neural Networks
In this thesis, two different types of bus passengers are identified. These two types, namely current passengers and passengers-to-be have different needs in terms of arrival time predictions. A set of machine learning models based on recurrent neural networks and long short-term memory units were d...
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| Format: | Others |
| Language: | English |
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Linköpings universitet, Artificiell intelligens och integrerade datorsystem
2019
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-165133 |