The Transport Department announced on November 11, 2026, that two projects under the 27th batch of the Smart Traffic Fund have received approval with a total grant of around $17.9 million.
Approved Projects
According to the Transport Department, the latest batch of approved projects includes developing a system that leverages Large Language Model technology to automate the generation of temporary traffic arrangements and support related planning and management.
The second approved project focuses on developing a bus driving simulator cockpit and training system. This system uses generative artificial intelligence to analyze bus operational data, driving footage, and accident data to simulate real-world driving scenarios and provide personalized training for bus drivers.
Fund Administration
The Smart Traffic Fund accepts applications throughout the year to provide funding support to local organisations and enterprises. The Management Committee considers and assesses applications in batches.
The committee is chaired by the Deputy Commissioner for Transport/Planning and Technical Services and includes representatives from the Government, industry experts, and relevant stakeholders, with the Hong Kong Productivity Council acting as the Secretariat.
Key facts and where they come from
- Two projects under the 27th batch of the Smart Traffic Fund were approved with a total grant of around $17.9 million.
two projects under the 27th batch of the Smart Traffic Fund have been approved by the Management Committee, with a total grant of around $17.9 million.
- One project develops a system leveraging Large Language Model technology to automate temporary traffic arrangements.
Developing a system that leverages Large Language Model technology to automate the generation of temporary traffic arrangements
- Another project develops a bus driving simulator cockpit and training system using generative artificial intelligence.
Developing a bus driving simulator cockpit and training system that uses generative artificial intelligence (AI) to analyse bus operational data
The catch
- The announcement does not disclose the specific names of the organisations or enterprises receiving the $17.9 million grant.
- The source does not specify the individual funding amounts allocated to each of the two approved projects.
