A Deep Learning Approach for Predicting Bus Passenger Demand Based on Weather Conditions
This work apply a deep learning artificial neural network model – the Multilayer Perceptron – as a regression model to estimate the demand of bus passengers. Transit bus ridership and weather conditions were collected over a year from a medium-size European metropolitan area and linked under the ass...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2020-12-01
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| Series: | Transport and Telecommunication |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/ttj-2020-0020 |