HomeCorporate HighlightAwardsProject Update | Technology Commercialisation |
Industry EngagementPast Events | Publicity

Technology Commercialisation

Smart Traffic Control System

The Tai Tam Road (Dam Section) was constructed more than a century ago and is part of the thoroughfare connecting Chai Wan and Stanley. Because of its width of only 5 meters, congestion problems often occur when larger vehicles with the width of 2.5 meters or above use the road section. As the dam is a declared monument, widening the road section is not possible. Thus, the Smart Traffic Control System (STCS) based on video analytics (VA) technology was developed and piloted in 2018 through the collaboration between Transport Department and CUHK project team, which had pioneered a VA-based Trolley Monitoring System for Hong Kong International Airport in an LSCM R&D project. The STCS is being further developed via the collaboration between Transport Department and LSCM. The system, the first of its kind in the city, has been deployed in Tai Tam Road (Dam Section) to ease the congestion problems.

The STCS has 8 sets of traffic detectors installed within 400 meters from the Dam Section of either side of the scenic but congestion-prone road. Each traffic detector turns video content into real-time traffic data by detecting, tracking, and counting vehicles passing through the road. The STCS then uses the data from all the 8 detectors to compute the length of vehicle queues on the road from both sides of the Dam Section and adjust the duration of the green traffic light signals to reduce overall delays in real time. For instance, when the system identifies that the queue is longer than 200 meters on one side and less than 200 meters on the other side, it allocates an extra 165 seconds for the green traffic light signal. After the queue is cleared, the red traffic light signal will be shown on both sides for 45 seconds so that all vehicles being driven along the Dam Section can be cleared.

The system has been in commission since August 2018. According to the latest figures, it has been twice as effective in terms of time-saving in comparison with traditional traffic lights. Based on the records from August 25 to end of November 2018, the traffic queues in Tai Tam Road did not exceed 400 meters at peak hours. With the traditional traffic lights, it took around 400 seconds for the drivers to queue up and pass through the Dam Section, while it took only around 145 seconds with the STCS in use.

RFID System for Management of Affected People During Major Incidents

MIAPMS Dashboard Display


Designed and developed by LSCM for the Airport Security Unit of the Hong Kong Police Force, the RFID System for Management of Affected People During Major Incidents (MIAPMS) helps the police operation team to manage the flow of people effectively during a major aircraft incident and to keep track of the real-time statistics of injuries and casualties efficiently. This system provides crucial information for the commanding officer to deploy the operation teams in the disaster zone, and greatly reduces the time to disseminate information to the media and to the families of the passengers involved.

The system involves the use of badges with embedded RFID tags which are assigned to each of the passengers or flight crew. When the operation team officers scan the badges on the injured passengers or flight crew with an RFID reader, the information such as their gender and their level of injury etc. will be recorded. The statistical information at each of the locations (Casualty Gathering Point, Triage Area, Crew Centre, Passenger Reception Centre, Ambulance Loading Point, Hospital, or Temporary Mortuary) will then be recorded by the system and reflected on the dashboard immediately.

The trial system will be used for the emergency rescue drill of the Hong Kong International Airport.

Handheld RFID reader

Scanning of badge on the injured

Not a Member Yet?

Subscribe our e-newsletter, you will receive on-going updates and market news from us.

Facebook Youtube Linkedin Twitter Instagram

Logistics and Supply Chain MultiTech R&D Centre
www.lscm.hk - info@lscm.com

If you do not wish to receive LSCM eNews in the future, please email to unsubscribe@lscm.hk to remove from our distribution list.

Copyright © 2019 Logistics and Supply Chain MultiTech R&D Centre.
All rights reserved.