Green railways optimization algorithms

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Concerns over carbon emissions, climate change and sustainability are motivating global efforts to reduce energy consumption in transportation systems. Reducing energy consumption in railway networks is an important component and goal of such efforts. This requires, among other technological innovations, advances in dynamic real-time optimization. Yet, real-world applications of mathematical optimization techniques are not widespread in the railway industry. This research project addresses this gap and is focused on real-time optimization of railway networks towards minimizing energy consumption. In the larger context, our efforts will pave the way for realizing green, agile Canadian railway transportation systems that dynamically adapt to changing environmental conditions, while jointly maximizing energy efficiency. By its focus, our project has the potential for significant impact on the Canadian society and economy, and can be prepare highly valuable HQP in a green economy.