| I&T Solution |
AI-Based Bus Stop Monitoring System
(REF: S-2051) |
| Trial Project |
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| Solution Feature |
- AI-driven real-time monitoring and data collection, automatically identifying bus license plates, routes, arrival/departure times, and synchronously counting passenger waiting durations.
- Equipped with intelligent analysis and early warning functions, capable of identifying peak hours, routes with extended waiting times, and congestion delays, and issuing timely alerts.
- Seamlessly integrates with existing operation platforms, achieving data intercommunication via Application Programming Interface to provide direct decision-making support for schedule optimization.
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| Trial Application and Expected Outcome |
- Publicize real-time bus dynamic information, reduce passengers’ unnecessary waiting time, and effectively improve the waiting experience at bus stops in reclamation areas.
- Optimize schedule allocation based on accurate passenger flow and operation data, alleviate bus stop congestion, and improve the utilization rate of public transport resources.
- Achieve data-driven bus operation management, enhance the response efficiency of operators, and provide scientific support for future route planning.
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| Additional Solution Information |
EMSD W-0595.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | Hong Kong Productivity Council | | Address | : | HKPC Building, 78 Tat Chee Avenue, Kowloon, Hong Kong | | Contact Person | : | Larry Li |
| Position | : | Associate Principal Consultant | | Tel | : | 27885819 | | Email | : |
yli@hkpc.org |
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