AI-Driven Smart Traffic Management Information System
Related professor
Department of Electrical Engineering
researcher@innoportal.test
Rita Researcher is a CityUHK researcher whose work spans AI, sensing and built-environment technologies, with a track record of translating R&D into deployable, industry-ready solutions through joint projects and consultancy.
Information
Description
A CityUHK research team offers proven capability in AI-Driven Smart Traffic Management Information System and is open to joint R&D, consultancy or licensing with an industry partner.
The team integrates real-time data, predictive analytics and field-validated components to deliver measurable, deployable outcomes for municipal and industry collaborators.
- Peer-reviewed results and working prototypes
- Access to lab facilities and graduate researchers
- A reusable framework supporting follow-on commercialisation and technology transfer
Outcome
The project will deliver an integrated, field-validated smart-traffic platform: a real-time detection and incident-response pipeline, a predictive congestion model, and an operations dashboard for city traffic management. Deliverables include working prototypes, a reusable analytics framework and a deployment playbook supporting follow-on commercialisation and technology transfer.
Additional Solution Information
- Related Publications
- See Chan et al., CityUHK (2024); Wong et al., CityUHK (2023).
Info on I&T Solution Provider
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