Ahmed Aredah

Ahmed Aredah

Creating Large Scale Simulators for Efficient Freight Network

Publications

You can also find my articles on my Google Scholar profile.

Journal Articles

NeTrainSim: A Network-Level Simulator for Modeling Freight Train Longitudinal Motion and Energy Consumption

Published in Railway Engineering Science, 2024

This paper introduces NeTrainSim, a simulator designed to model the longitudinal motion and energy consumption of heavy freight trains across a network of intersecting tracks. It enables comprehensive analysis of energy consumption and carbon footprint for entire train systems.

Recommended citation: Aredah, A. S., Fadhloun, K., & Rakha, H. A. (2024). "NeTrainSim: A Network-Level Simulator for Modeling Freight Train Longitudinal Motion and Energy Consumption." Railway Engineering Science. 1-19.
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Energy Optimization in Freight Train Operations: Algorithmic Development and Testing

Published in Applied Energy, 2024

This research applies multi-objective dynamic programming and a heuristic A* algorithm to optimize energy efficiency in freight train operations across six powertrain technologies, evaluating their impact on energy consumption and travel time in the U.S. freight network.

Recommended citation: Aredah, A., Fadhloun, K., & Rakha, H. A. (2024). "Energy Optimization in Freight Train Operations: Algorithmic Development and Testing." Applied Energy. 364, 123111.
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Comparative Analysis of Alternative Powertrain Technologies in Freight Trains: A Numerical Examination Towards Sustainable Rail Transport

Published in Applied Energy, 2024

This study evaluates the energy efficiency and environmental impact of six powertrain technologies for freight trains, highlighting the potential of electric powertrains and advanced technologies in achieving sustainable rail transport.

Recommended citation: Aredah, A., Du, J., Hegazi, M., List, G., & Rakha, H. A. (2024). "Comparative Analysis of Alternative Powertrain Technologies in Freight Trains: A Numerical Examination Towards Sustainable Rail Transport." Applied Energy. 356, 122411.
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Simple Diesel Train Fuel Consumption Model for Real-Time Train Applications

Published in Energies, 2023

This paper introduces a simple and accurate diesel train energy consumption model for real-time applications, validated against real-world data and suitable for transportation planning and policy evaluation.

Recommended citation: Ahn, K., Aredah, A., Rakha, H. A., Wei, T., & Frey, H. C. (2023). "Simple Diesel Train Fuel Consumption Model for Real-Time Train Applications." Energies. 16(8), 3555. DOI: 10.3390/en16083555.
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Extreme Learning Machine Model for Assessment of Stream Health Using the Habitat Evaluation Index

Published in Water Supply, 2022

This paper presents an Extreme Learning Machine (ELM) model to predict stream health using the Qualitative Habitat Evaluation Index (QHEI) and watershed metrics, demonstrating high predictive accuracy and insights into stream health factors.

Recommended citation: Ahmed S. Aredah, Omer Faruk Ertugrul, Ahmed A. Sattar, Hossein Bonakdari, & Bahram Gharabaghi (2022). "Extreme Learning Machine Model for Assessment of Stream Health Using the Habitat Evaluation Index." Water Supply. 22(5), ws2022166. DOI: 10.2166/ws.2022.166.
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The Fourth Dimension of Building Information Modelling (4D BIM): An Investigation and Simulation Approach

Published in International Journal of Construction Project Management, 2021

This paper evaluates 4D BIM, comparing CPM and LBMS scheduling techniques through case studies, highlighting their effectiveness in reducing planning conflicts and optimizing project schedules.

Recommended citation: Aredah, A. S., Baraka, M., & Elkhafif, M. (2021). "The Fourth Dimension of Building Information Modelling (4D BIM): An Investigation and Simulation Approach." International Journal of Construction Project Management. 13(2), 195-213.
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Project Scheduling Techniques Within a Building Information Modeling (BIM) Environment: A Survey Study

Published in IEEE Engineering Management Review, 2019

This paper surveys the impact of 4D BIM on construction project scheduling and coordination, highlighting its advantages over traditional 2D planning methods and the preference for the Critical Path Method (CPM).

Recommended citation: Aredah, A. S., Baraka, M. A., & ElKhafif, M. (2019). "Project Scheduling Techniques Within a Building Information Modeling (BIM) Environment: A Survey Study." IEEE Engineering Management Review. 47(2), 133-143. DOI: 10.1109/EMR.2019.2916365.
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