iRoad
AI-Powered Smart Urban Road Asset Digital Twin
iRoad is an AI-powered urban road management system that leverages camera input and motion sensor data via a smartphone app to detect and quantify surface defects and ride comfort across motorways, footpaths, and cycleways. The processed data feeds into a digital twin platform that visualizes road asset conditions and informs infrastructure decision-making. Designed for commercial and government stakeholders, iRoad supports predictive maintenance and mobility planning, reducing costs and improving safety. Additionally, the platform functions as a data vendor, creating new revenue opportunities through the provision of API access to third-party transport applications.
Team member(s)
Dr Yu Qiqin* (Res Asst, Department of Architecture and Civil Engineering, City University of Hong Kong)
Ms Liu Qiong (PhD, Department of Architecture and Civil Engineering, City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Ms Liu Qiong (PhD, Department of Architecture and Civil Engineering, City University of Hong Kong)
* Person-in-charge
(Info based on the team's application form)
Achievement(s)
- CityU HK Tech 300 Seed Fund (2025)