63 citations · 128 across the 6 of their papers we have counts for
3 papers · 1 filter
Network and Station-Level Bike-Sharing System Prediction: A San Francisco Bay Area Case Study
Huthaifa I. Ashqar, Mohammed Elhenawy, Hesham A. Rakha +2
The paper develops models for modeling the availability of bikes in the San Francisco Bay Area Bike Share System applying machine learning at two levels: network and station. Inves…
Modeling bike availability in a bike-sharing system using machine learning
Huthaifa I. Ashqar, Mohammed Elhenawy, Mohammed H. Almannaa +3
This paper models the availability of bikes at San Francisco Bay Area Bike Share stations using machine learning algorithms. Random Forest (RF) and Least-Squares Boosting (LSBoost)…
Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains
Huthaifa I. Ashqar, Mohammed H. Almannaa, Mohammed Elhenawy +2
This paper develops a novel two-layer hierarchical classifier that increases the accuracy of traditional transportation mode classification algorithms. This paper also enhances cla…