326 citations · 1.2k across the 59 of their papers we have counts for
4 papers · 1 filter
Interpretable and Actionable Vehicular Greenhouse Gas Emission Prediction at Road link-level
S. Roderick Zhang, Bilal Farooq
To help systematically lower anthropogenic Greenhouse gas (GHG) emissions, accurate and precise GHG emission prediction models have become a key focus of the climate research. The…
On-Demand Transit User Preference Analysis using Hybrid Choice Models
Nael Alsaleh, Bilal Farooq, Yixue Zhang +1
In light of the increasing interest to transform the fixed-route public transit (FRT) services into on-demand transit (ODT) services, there exists a strong need for a comprehensive…
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 (…
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…