Distinguished Transport Lecture Series 2025 – Smart Mobility

Message from Institute of Transport Studies  

Distinguished Transport Lecture Series 2025 – Smart Mobility

 

The first Distinguished Transport Lecture in DTLS2025 – Smart Mobility will be delivered by Prof. Quddus on Sep 2, 2025 at Rayson Huang Theatre. Detailed information and registration link can be found in this email.

 

TITLE 

From Reaction to Prediction: Re-imagining Traffic Safety Through AI and Intelligent Transport Systems

 

SPEAKER  

Prof. Quddus

Chair Professor of Intelligent Transport Systems (ITS)

Department of Civil and Environmental Engineering

Imperial College London

 

DATE AND TIME  

2 September 2025 (Tuesday) 19:00 – 20:00 (Hong Kong Time) 

 

VENUE  

Rayson Huang Theatre, The University of Hong Kong

 

REGISTRATION LINK

https://forms.office.com/r/P3jXb7bhap

(Participants can also scan the registration QR code on the poster!)

 

ORGANISED BY  

Institute of Transport Studies, The University of Hong Kong  

 

ABSTRACT  

This talk presents a paradigm shift in traffic safety analysis, moving from reactive approaches based on historical collision data to proactive conflict detection and predictive collision modelling. In the reactive phase, advanced statistical methods are used to analyse collision patterns, identify high-risk locations and evaluate the effectiveness of safety interventions, laying the groundwork for evidence-based traffic safety evaluation programmes. The proactive phase leverages vehicle-based conflict data to anticipate potential collisions before they occur. To improve interpretability and accuracy, a context-aware conflict prediction algorithm is introduced, combining traffic covariates with vehicle sensor data using a hierarchical Bayesian threshold-excess model grounded in Extreme Value Theory (EVT). This approach improves model performance and enables efficient real-time deployment. In the predictive phase, vision-based video analytics are used to detect and explain pre-crash behaviours, informing the development of more transparent and trustworthy Advanced Driver Assistance Systems (ADAS). Together, these phases represent a fundamental shift—from reacting to crashes after they occur, to preventing them through intelligent, explainable and data-driven systems.  

 

SPEAKER’S BIO  

Professor Quddus is Chair Professor of Intelligent Transport Systems (ITS) in the Department of Civil and Environmental Engineering at Imperial College London. He is internationally recognised for his pioneering research in transport safety and simulation, autonomous and connected vehicles, big data analytics, and map-matching technologies. His seminal work on AI-based map-matching has become highly influential, widely cited by researchers, and adopted by the ITS industry, automotive manufacturers, and National Highways. Notably, his award-winning risk-mapping algorithms have been implemented to inform strategic safety policies and procedures across the UK’s 4,300-mile strategic road network. Over the past two decades, Professor Quddus has led and co-led research projects totalling more than £12.2 million, funded by UKRI, the European Commission, government bodies, and industry partners. He has directed large-scale research programmes, including a mini-CDT, and served on international research committees such as the Transportation Research Board (Washington, DC), while also contributing as an editor of leading peer-reviewed journals, including Transportation Research Part C: Emerging Technologies. To date, he has supervised over 40 doctoral and postdoctoral researchers and authored more than 140 peer-reviewed journal publications.