Rate My Professor Ronghui Liu

Her research interests encompass a wide range of themes in transport studies, including vehicle dynamics and traffic microsimulation model developments such as DRACULA and TracULA; traffic control theory and algorithms; travel behaviour and Intelligent mobility; stochastic models and reliability analysis; public transport operations and controls; timetabling and schedule coordination; and train control and railway traffic management systems. She focuses on the interrelationships between these areas and methodologies for estimating, designing, and evaluating their network-wide effects. Expertise includes network modelling, simulation, and optimisation; digital train control; ERTMS; signal optimisation and route choice; and public transport reliability. As Principal Investigator, she has led major projects including OptiYard under EU Shift2Rail (2017-2019, €1,499,900), Energy-Efficient Automatic Train Operation funded by the Royal Academy of Engineering (2017-2019, £99,363), and DITTO funded by RSSB (2014-2017, £905,000). Notable publications include Fundamentals of Traffic Simulation (2010), Modelling Instantaneous Traffic Emission and the Influence of Traffic Speed Limits (2006), A Platoon Based Cooperative Eco-Driving Model for Mixed Automated and Human-Driven Vehicles at a Signalised Intersection (2018), and A Literature Review of Artificial Intelligence Applications in Railway Systems (2022). Liu has contributed editorially as Associate Editor for IEEE Transactions on Intelligent Transportation Systems (2009-2016) and IET Journal of Intelligent Transport Systems (2017-present), and served on programme and organising committees for IEEE ITSC conferences, as well as expert evaluator roles for EU Shift2Rail Joint Undertaking.