European Journal of Transport and Infrastructure Research 2020
DOI: 10.18757/ejtir.2020.20.4.5429
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Modelling cellphone trace travel mode with neural networks using transit smartcard and home interview survey data

Abstract: 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 pseudo-cellphone traces. The generated artificial pseudo-cellphone traces with known mode are then used to train a deep neural network classifier. We further apply the trained model to infer travel modes for the cellp… Show more

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Cited by 8 publications
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