29 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2019
Ensemble Convolutional Neural Networks for Mode Inference in Smartphone Travel Survey
Ali Yazdizadeh, Zachary Patterson, Bilal 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, C…
cs.LG2017★ 29 cited
An investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service
Ismaïl Saadi, Melvin Wong, Bilal Farooq +2
In this paper, we present machine learning approaches for characterizing and forecasting the short-term demand for on-demand ride-hailing services. We propose the spatio-temporal e…
math.OC2017★ 1 cited
Integrated Microsimulation Framework for Dynamic Pedestrian Movement Estimation in Mobility Hub
Alexis Pibrac, Bilal Farooq
We present an integrated microsimulation framework to estimate the pedestrian movement over time and space with limited data on directional counts. Using the activity-based approac…