Mohammed H. Almannaa

Orcid: 0000-0002-5893-3052

According to our database1, Mohammed H. Almannaa authored at least 16 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Bibliography

2022
Network and station-level bike-sharing system prediction: a San Francisco bay area case study.
J. Intell. Transp. Syst., 2022

Evaluating a Signalized Intersection Performance Using Unmanned Aerial Data.
CoRR, 2022

2021
A Novel Crowdsourcing Model for Micro-Mobility Ride-Sharing Systems.
Sensors, 2021

2020
A Novel Supervised Clustering Algorithm for Transportation System Applications.
IEEE Trans. Intell. Transp. Syst., 2020

Deep Transfer Learning for Vulnerable Road Users Detection using Smartphone Sensors Data.
Remote. Sens., 2020

Developing a Novel Crowdsourcing Business Model for Micro-Mobility Ride-Sharing Systems: Methodology and Preliminary Results.
CoRR, 2020

A Comparative Analysis of E-Scooter and E-Bike Usage Patterns: Findings from the City of Austin, TX.
CoRR, 2020

2019
Optimizing Bike Sharing Systems: Dynamic Prediction Using Machine Learning and Statistical Techniques and Rebalancing.
PhD thesis, 2019

Smartphone Transportation Mode Recognition Using a Hierarchical Machine Learning Classifier and Pooled Features From Time and Frequency Domains.
IEEE Trans. Intell. Transp. Syst., 2019

Heuristic Approaches to Solve E-Scooter Assignment Problem.
IEEE Access, 2019

Optimal Assignment of e-scooter to Chargers.
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.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Incremental Learning Models of Bike Counts at Bike Sharing Systems.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

2017
Bike share travel time modeling: San Francisco bay area case study.
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.
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.
Proceedings of the 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, 2017


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