Network-wide bike availability clustering using the college admission algorithm: A case study of San Francisco Bay area. - Mohammed H. Almannaa; Mohammed Elhenawy; Ahmed Ghanem; Huthaifa I. Ashqar; Hesham A. Rakha (MT-ITS, 2017)

Modeling bike availability in a bike-sharing system using machine learning. - Huthaifa I. Ashqar; Mohammed Elhenawy; Mohammed H. Almannaa; Ahmed Ghanem; Hesham A. Rakha; Leanna House (MT-ITS, 2017)

Bike share travel time modeling: San Francisco bay area case study. - Ahmed Ghanem; Mohammed Elhenawy; Mohammed H. Almannaa; Huthaifa I. Ashqar; Hesham A. Rakha (MT-ITS, 2017)

Incremental Learning Models of Bike Counts at Bike Sharing Systems. - Mohammed H. Almannaa; Mohammed Elhenawy; Feng Guo; Hesham A. Rakha (ITSC, 2018)

A New Mathematical Approach to Solve Bike Share System Station Imbalances Based On Portable Stations. - Mohammed H. Almannaa; Mohammed Elhenawy; Mahmoud Masoud; Hesham A. Rakha (ITSC, 2019)

Optimal Assignment of e-scooter to Chargers. - Mahmoud Masoud; Mohammed Elhenawy; Mohammed H. Almannaa; Shi Qiang Liu; Sebastien Glaser; Andry Rakotonirainy (ITSC, 2019)

Heuristic Approaches to Solve E-Scooter Assignment Problem. - Mahmoud Masoud; Mohammed Elhenawy; Mohammed H. Almannaa; Shi Qiang Liu; Sebastien Glaser; Andry Rakotonirainy (IEEE Access, 2019)

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; Hesham A. Rakha; Leanna House (IEEE Trans. Intell. Transp. Syst., 2019)

Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing. - Mohammed Hamad Almannaa (2019)

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; Mahmoud Masoud; Andry Rakotonirainy; Hesham Rakha (CoRR, 2020)

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; Mohammed Hamad Almannaa; Mahmoud Masoud; Hesham A. Rakha; Andry Rakotonirainy (CoRR, 2020)

Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data. - Mohammed Elhenawy; Huthaifa I. Ashqar; Mahmoud Masoud; Mohammed H. Almannaa; Andry Rakotonirainy; Hesham A. Rakha (Remote. Sens., 2020)

A Novel Supervised Clustering Algorithm for Transportation System Applications. - Mohammed H. Almannaa; Mohammed Elhenawy; Hesham A. Rakha (IEEE Trans. Intell. Transp. Syst., 2020)

A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems. - Mohammed Elhenawy; Md. Mostafizur Rahman Komol; Mahmoud Masoud; Shi Qiang Liu; Huthaifa I. Ashqar; Mohammed Hamad Almannaa; Hesham A. Rakha; Andry Rakotonirainy (Sensors, 2021)

Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data. - Mujahid I. Ashqer; Huthaifa I. Ashqar; Mohammed Elhenawy; Mohammed H. Almannaa; Mohammad A. Aljamal; Hesham A. Rakha; Marwan Bikdash (CoRR, 2022)

Network and station-level bike-sharing system prediction: a San Francisco bay area case study. - Huthaifa I. Ashqar; Mohammed Elhenawy; Hesham A. Rakha; Mohammed H. Almannaa; Leanna House (J. Intell. Transp. Syst., 2022)