Mohammed Elhenawy

Orcid: 0000-0003-2634-4576

According to our database1, Mohammed Elhenawy authored at least 47 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Traffic Estimation of Various Connected Vehicle Penetration Rates: Temporal Convolutional Network Approach.
IEEE Trans. Intell. Transp. Syst., May, 2024

Exploring Combinatorial Problem Solving with Large Language Models: A Case Study on the Travelling Salesman Problem Using GPT-3.5 Turbo.
CoRR, 2024

2023
Deep RNN Based Prediction of Driver's Intended Movements at Intersection Using Cooperative Awareness Messages.
IEEE Trans. Intell. Transp. Syst., 2023

2022
Use of Social Interaction and Intention to Improve Motion Prediction Within Automated Vehicle Framework: A Review.
IEEE Trans. Intell. Transp. Syst., 2022

Quality of Service Measure for Bike Sharing Systems.
IEEE Trans. Intell. Transp. Syst., 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

A Review on Drivers' Red Light Running Behavior Predictions and Technology Based Countermeasures.
IEEE Access, 2022

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

A new algorithm for solving uncapacitated transportation problem with interval-defined demands and suppliers capacities.
J. Intell. Fuzzy Syst., 2021

Hybrid Pointer Networks for Traveling Salesman Problems Optimization.
CoRR, 2021

Deep Transfer Learning Based Intersection Trajectory Movement Classification for Big Connected Vehicle Data.
IEEE Access, 2021

Solving the Emergency Care Patient Pathway by a New Integrated Simulation-Optimisation Approach.
IEEE Access, 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

A Review on Drivers Red Light Running and Turning Behaviour Prediction.
CoRR, 2020

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

Modeling bike counts in a bike-sharing system considering the effect of weather conditions.
CoRR, 2020

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

A New Approach to Improve the Topological Stability in Non-Linear Dimensionality Reduction.
IEEE Access, 2020

A Real-World Transport Scheduler Applied to Australian Sugarcane Industry.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display.
Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

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

Topological Stability: a New Algorithm for Selecting The Nearest Neighbors in Non-Linear Dimensionality Reduction Techniques.
CoRR, 2019

Impact of Narrow Lanes on Arterial Road Vehicle Crashes: A Machine Learning Approach.
CoRR, 2019

Open-plan Glare Evaluator (OGE): A New Glare Prediction Model for Open-Plan Offices Using Machine Learning Algorithms.
CoRR, 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

Vulnerable Road User Detection Using Smartphone Sensors and Recurrence Quantification Analysis.
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
Travel Time Modeling using Spatiotemporal Speed Variation and a Mixture of Linear Regressions.
Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, 2018

A Probabilistic Travel Time Modeling Approach Based on Spatiotemporal Speed Variations.
Proceedings of the Smart Cities, Green Technologies and Intelligent Transport Systems, 2018

C-ITS Safety Evaluation Methodology based on Cooperative Awareness Messages.
Proceedings of the 21st International Conference on Intelligent Transportation Systems, 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

A heuristic for rebalancing bike sharing systems based on a deferred acceptance algorithm.
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

2016
Traffic Stream Short-term State Prediction using Machine Learning Techniques.
Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems, 2016

A Unified Real-time Automatic Congestion Identification Model Considering Weather and Roadway Visibility Conditions.
Proceedings of the International Conference on Vehicle Technology and Intelligent Transport Systems, 2016

An Automatic Traffic Congestion Identification Algorithm Based on Mixture of Linear Regressions.
Proceedings of the Smart Cities, Green Technologies, and Intelligent Transport Systems, 2016

Investigating cyclist violations at signal-controlled intersections using naturalistic cycling data.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

Stretch-wide traffic state prediction using discriminatively pre-trained deep neural networks.
Proceedings of the 19th IEEE International Conference on Intelligent Transportation Systems, 2016

2015
An Intersection Game-Theory-Based Traffic Control Algorithm in a Connected Vehicle Environment.
Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2013
An automated statistically-principled bottleneck identification algorithm (ASBIA).
Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems, 2013

2012
NMF based approach for finding recurrent aberrations in DNA copy number data.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012

A non-parametric approach for estimating stromal contamination in cancer samples.
Proceedings of the Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, 2012


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