| I&T Solution |
AI-Powered Bus Stop Monitoring and Management System
(REF: S-2047) |
| Trial Project |
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| Solution Feature |
- Real-Time Bus Identification: License plate recognition maps incoming buses to route numbers and destinations.
- Passenger Flow Monitoring: Cameras detect queue lengths and track boarding/alighting at bus doors.
- Operational Analytics: Peak periods, bottlenecks, and underutilized routes flagged for optimization.
- Alerts & Integration: SMS notifications for delays or crowding; RESTful API and GTFS-RT for system integration.
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| Trial Application and Expected Outcome |
- Passenger Wait Time Reduction: Estimated 30% improvement through real-time dispatch and queue alerts.
- Route Optimization: Data-driven identification of bottlenecks and underused routes.
- Operational Visibility: Live dashboard and mobile interface for field staff and dispatchers.
- Scalability: Architecture supports expansion to additional stops with minimal reconfiguration.
- Compliance & Resilience: Privacy safeguards, failover systems, and offline buffering ensure reliability.
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| Additional Solution Information |
Proposal_ AI-Powered Bus Stop Monitoring and Management System 8-12-2025.pdf
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| Info on I&T Solution Provider |
| Solution Provider | : | iBonus Limited | | Address | : | 338, 16W, Science Park | | Contact Person | : | Keith Lau |
| Position | : | CEO | | Tel | : | 96878214 | | Email | : |
keith@ibonus.net | | Webpage | : | ibonus.net |
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