Michelle Zeibots
Papers
2
Total Citations
13
H-Index
2
About
Michelle Zeibots is a leading researcher in transport engineering and urban systems, specializing in pedestrian dynamics and sustainable infrastructure. Her work centers on developing advanced models to understand and predict human movement in complex transport environments, with a focus on improving safety, efficiency, and sustainability. Zeibots’ most notable contribution is the empirically verified Passenger Route Selection Model, which applies the principle of least effort to simulate how passengers navigate congested rail stations. This model, cited 8 times, offers critical insights for managing crowding at egress points and waiting areas, helping to reduce delays and enhance service reliability. More recently, she has advanced the field with the Integrated Pedestrian–Vehicle Model (IPVM), introduced in 2024, which models shared spaces to support sustainable transport systems. This work addresses the growing need for tools that balance pedestrian and vehicle interactions in urban environments, promoting multimodal sustainability. With citations reflecting her impact, Zeibots’ research is instrumental for engineers and planners seeking data-driven solutions to optimize public transport and shared road infrastructure, making her a key figure in shaping future cities.
Research Focus
Key Achievements
Top Papers
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