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INTR@HKUST(GZ)

Research

Our research focuses fall into three main areas:

  1. Area 1 Multimodal Freight Logistics
    • Multi-modal freight system modeling (port and maritime, rail transportation, inland & coastal waterway)
    • Supply chain network design
    • Energy-environment-transportation nexus
  2. Area 2 Smart Mobility
    • First/last-mile microtransit ridesharing
    • Smart parking system
  3. Area 3 Infrastructure Management
    • Smart sensing & data analytics (AI/ML based condition monitoring & deterioration modeling)
    • Decision support & optimization (life cycle planning, resilience planning)
    • Computer vision for rail safety

https://github.com/HKUST-Trans-Lab/HKUST-Trans-Lab.github.io/assets/55651568/0a3f348c-7dbf-467b-983e-f2755a6836e2

  1. AI-Aided Rail Track Condition Monitoring and Preventive/Predictive Maintenance

https://github.com/HKUST-Trans-Lab/HKUST-Trans-Lab.github.io/assets/55651568/e7e7c811-720e-42b2-8cac-f0e44da63c5e

https://github.com/HKUST-Trans-Lab/HKUST-Trans-Lab.github.io/assets/55651568/136d7d64-f59a-4f19-a4c3-c5dedfdec157

  1. Visual AI for Rail Safety

https://github.com/HKUST-Trans-Lab/HKUST-Trans-Lab.github.io/assets/55651568/27289c67-05af-4790-bc2e-2afffca453fb

  1. Exploring the Use of Artificial Intelligence Generated Content (AIGC) in Transportation Research

https://github.com/HKUST-Trans-Lab/HKUST-Trans-Lab.github.io/assets/55651568/e4df672e-a730-46fd-a6b3-abcfc92c55d3