63 citations · 108 across the 5 of their papers we have counts for
5 papers
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…
Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results
Mohammed Elhenawy, MD Mostafizur Rahman Komol, Huthaifa I. Ashqar +4
Micro-mobility ride-sharing is an emerging technology that provides access to the transit system with minimum environmental impacts. Significant research is required to ensure that…
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…
A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX
Mohammed Hamad Almannaa, Huthaifa I. Ashqar, Mohammed Elhenawy +3
E-scooter-sharing and e-bike-sharing systems are accommodating and easing the increased traffic in dense cities and are expanding considerably. However, these new micro-mobility tr…