Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data
This study proposes a framework to impute travel mode for trips identified from cellphone traces by developing a deep neural network model. In our framework, we use the trips from a home interview survey and transit smartcard data, for which the travel mode is known, to create a set of artificial ps...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
TU Delft Open
2020-10-01
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| Series: | European Journal of Transport and Infrastructure Research |
| Online Access: | https://journals.open.tudelft.nl/ejtir/article/view/5429 |