Nadezhda Zenina
Papers
2
Total Citations
13
H-Index
2
About
Nadezhda Zenina is a researcher focused on the intersection of transportation engineering and cyber-physical systems. Her work centers on developing advanced travel demand models, particularly through the use of TRIP-based frameworks, to evaluate intelligent transport system (ITS) measures. Zenina’s major contribution lies in integrating micro-simulation techniques with transport modeling, allowing for more precise assessments of how ITS interventions—such as real-time traffic management—affect travel behavior and network performance. This approach bridges the gap between physical traffic flows and computational simulations, a key challenge in modern urban mobility. Her most cited paper, published in 2017, has garnered 11 citations, reflecting its relevance to researchers and practitioners working on smart city solutions and traffic optimization. Zenina’s work is notable for its practical application in evaluating ITS measures before real-world deployment, reducing costs and improving efficiency. By combining theoretical modeling with simulation-based validation, she provides a robust toolkit for transportation planners and engineers. Her research is particularly valuable for students and professionals exploring how cyber-physical systems can transform traffic management, offering a data-driven path toward more sustainable and intelligent urban transport networks.
Research Focus
Key Achievements
Top Papers
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- 2