Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey

18 Apr 2019Ali YazdizadehZachary PattersonBilal Farooq

We develop ensemble Convolutional Neural Networks (CNNs) to classify the transportation mode of trip data collected as part of a large-scale smartphone travel survey in Montreal, Canada. Our proposed ensemble library is composed of a series of CNN models with different hyper-parameter values and CNN architectures... (read more)

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