Rapid population growth in newly reclaimed areas has led to increasing congestion at bus stops and along bus routes. To address these issues and improve the public environment, a Bus Stop Monitoring System is proposed for Tung Chung East, utilizing AI-based image recognition technology. The project will commence as a proof of concept (PoC) prior to full-scale implementation.
Project Challenges: The system will provide real-time bus stop occupancy, display bus license plate numbers with corresponding route information, and record bus arrival and departure times. It will also analyze peak occupancy periods, identify bus lines with long passenger queues, and monitor as well as report extended passenger waiting times.
Expected Outcome
Variations in camera angle, lighting conditions, image quality, occlusion, and privacy concerns must be addressed.
Installation works should be non-intrusive and subject to available locations; power supply and data connectivity must be assessed in advance.
The collected data will be used by bus service providers to adjust service frequencies and routes in order to alleviate future crowding.
An AI-assisted system for analyzing bus stop utilization, with data integration into existing operational management platforms.
Successful video capture of the entire bus stop and queue areas, accompanied by corresponding AI analytical outputs.
Trained AI models capable of accurately assessing bus stop utilization, with a target accuracy of 90% or above.
Provision and installation of all required hardware, including cameras, sensors, AI processing servers, data storage systems, etc.
Expected Trial Duration
9-month
Contact Information
I&T Wish Proposer
:
Electrical and Mechanical Services Department (EMSD)
