Yugesh Naidu is a transportation engineer with four years of experience in traffic and revenue analysis, travel demand modeling, and data-driven forecasting. He holds a master’s degree in Transportation Engineering from Texas A&M University and is currently with C&M Associates. His work combines traditional modeling methods with machine learning to improve short- and long-term predictions for managed lanes and toll facilities. He develops and applies graph-based and time-series models that integrate operational data, simulation outputs, and economic indicators to evaluate capacity, pricing, and demand scenarios for planning and operations.

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