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Suyi Mao

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Ph.D. candidate in Ingegneria Civile E Ambientale , 38th cycle (2022-2025)
Department of Environment, Land and Infrastructure Engineering (DIATI)

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PhD

Thesis title

Research on Lane-Changing Behaviour Mechanisms and Collision Risks in Expressway Weaving Sections

Research topic

Research on Lane-Changing Behaviour Mechanisms and Collision Risks in Expressway Weaving Sections

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Research presentation

Poster

Keywords

Civil Works
Infrastructures
Numerical Modelling and Simulation
Transport

Biography

Suyi Mao received her Bachelor's Degree in Transportation Planning and Management from Central South University, China, in 2017. She is currently pursuing a joint PhD Degree in Transportation Engineering co-offered by Central South University, China and Politecnico di Torino, Italy. Her current research interests cover traffic simulation, intelligent connected vehicles, and traffic safety analysis. To date, she has published 22 peer-reviewed papers in international academic journals, which have accumulated 254 citations on Google Scholar. Her work has appeared in high-impact factor journals including Transportation Part A, Transportation Part F, Accident Analysis & Prevention, IEEE Transactions on Intelligent Transportation Systems, and Journal of Safety Research.
Her doctoral dissertation, titled "Research on Lane-Changing Behaviour Mechanisms and Collision Risks in Expressway Weaving Sections," collected drone video trajectory data and driving simulation data to compare driver behaviour in weaving sections under two different data collection methods. A Bayesian hierarchical model was established to investigate the mechanisms of lane-changing behaviour in weaving sections, and a statistical model incorporating heterogeneity was developed using a lane-changing risk assessment index to identify risk factors. Machine learning and deep learning approaches were then applied to predict lane-changing risks in weaving sections.

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