326 citations · 1.2k across the 59 of their papers we have counts for
4 papers · 2 filters
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…
Distributed Classification of Urban Congestion Using VANET
Al Mallah Ranwa, Farooq Bilal, Quintero Alejandro
Vehicular Ad-hoc NETworks (VANET) can efficiently detect traffic congestion, but detection is not enough because congestion can be further classified as recurrent and non-recurrent…
A semi-supervised deep residual network for mode detection in Wi-Fi signals
Arash Kalatian, Bilal Farooq
Due to their ubiquitous and pervasive nature, Wi-Fi networks have the potential to collect large-scale, low-cost, and disaggregate data on multimodal transportation. In this study,…
Semi-supervised GANs to Infer Travel Modes in GPS Trajectories
Ali Yazdizadeh, Zachary Patterson, Bilal Farooq
Semi-supervised Generative Adversarial Networks (GANs) are developed in the context of travel mode inference with uni-dimensional smartphone trajectory data. We use data from a lar…