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20172019
most citedA bi-partite generative model framework for analyzing and simulating large scale multiple discrete-continuous travel behaviour data

33 citations · 63 across the 5 of their papers we have counts for

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2 papers · 1 filter

econ.EM2019

ResLogit: A residual neural network logit model for data-driven choice modelling

Melvin Wong, Bilal Farooq

This paper presents a novel deep learning-based travel behaviour choice model.Our proposed Residual Logit (ResLogit) model formulation seamlessly integrates a Deep Neural Network (…

econ.EM2019★ 1 cited

Information processing constraints in travel behaviour modelling: A generative learning approach

Melvin Wong, Bilal Farooq

Travel decisions tend to exhibit sensitivity to uncertainty and information processing constraints. These behavioural conditions can be characterized by a generative learning proce…