Mohammed H. Almannaa

According to our database, Mohammed H. Almannaa authored at least 16 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

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

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

2021

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

2020

A Novel Supervised Clustering Algorithm for Transportation System Applications.

Mohammed H. Almannaa, Mohammed Elhenawy, Hesham A. Rakha

IEEE Trans. Intell. Transp. Syst., 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

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

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

2019

Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing.

Mohammed Hamad Almannaa

PhD thesis, 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

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

Optimal Assignment of e-scooter to Chargers.

Mahmoud Masoud, Mohammed Elhenawy, Mohammed H. Almannaa, Shi Qiang Liu, Sebastien Glaser, Andry Rakotonirainy

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

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

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Incremental Learning Models of Bike Counts at Bike Sharing Systems.

Mohammed H. Almannaa, Mohammed Elhenawy, Feng Guo, Hesham A. Rakha

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

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

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 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

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017

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

Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017