Rate My Professor Haibo Chen

His research specializations include modelling and assessment of disruption in emergency evacuation and network resilience, city mobility and ICT solutions, evaluation of transport policy interventions and system dynamics, traffic-induced air pollution episodes and personal exposure, environmental and health assessment of traffic management and transport policies, environmental justice, and sustainable transport development in developing countries. As principal investigator, Chen has led major EU-funded projects including Frugal Zero-Emission Vehicles for the Urban Passenger challenge (ZEV-UP, €11m, 2024-2027), Nanoparticle Emissions from the Transport Sector: Health and Policy Impacts (nPETS, €5.35m, 2021-2024), Modify Drivers’ behaviour to Adapt for Lower EmissionS (MODALES, €5.1m, 2019-2022), Enhance driver behaviour and Public Acceptance of Connected and Autonomous vehicLes (PAsCAL, €4m, 2019-2022), AUTOmated driving Progressed by Internet Of Things (AUTOPILOT, €20m, 2017-2019), and Optimal fuel consumption with Predictive PowerTrain control and calibration for intelligent Truck (optiTruck, €4.5m, 2016-2019). He has served on the Management Committee of ESF COST Action 1102 'ARTS: Towards Autonomic Road Transport Support Systems', as council member of the Transport Systems Engineering Committee of the Systems Engineering Society of China, and on editorial advisory boards for Journal of Transportation Systems Engineering and Information Technology and Journal of Railway Sci. & Eng. Key publications comprise 'Use of sequential learning for short-term traffic flow forecasting' (2001), 'A study of hybrid neural network approaches and the effects of missing data on traffic forecasting' (2001), and 'High-efficiency urban traffic management in context-aware computing and 5G communication' (2017).