6 October 2016 Back
Adaptive traffic control analytics via CCTV cameras used for seamless integration of existing traffic lights to reduce traffic waiting time by 65%
Cyberview Sdn Bhd together with VADS Lyfe Sdn Bhd, a wholly-owned subsidiary of Telekom Malaysia Berhad (TM) today shared the success of its Smart Traffic Analytics and Recognition System as part of its smart city transformation roadmap for Cyberjaya towards becoming a global technology hub.
The Internet of Things (IoT) based system was developed locally by VADS Lyfe and was installed along Persiaran Multimedia, Cyberjaya in July this year. The system enables existing traffic lights to become adaptive and automatically distribute green time to ensure seamless traffic flow. This directly addresses traffic congestions, resulting in reduced travel time and waiting time while accommodating to the ever evolving daily traffic demands. Additionally, the solution helps to reduce fuel consumption, air pollution, and carbon emissions from vehicles.
With the new system, the waiting time for the traffic light along Persiaran Multimedia, Cyberjaya has been reduced by 65% to between 8 – 11 minutes from approximately 32 minutes previously to go from one end to the other during peak hours. The traffic light system along Persiaran Multimedia, a stretch of about 3.5km consists of eight (8) intersection of traffic lights.
“This effort is in line with Cyberview’s role as a tech hub enabler that leads the transformation of Cyberjaya into a smart city and a living lab that breathes and thrives on innovation. As a Living Lab for smart city solutions, we look into incorporating technology into every facet of the township through collaboration with our many partners; from improving the fundamentals by boosting the city’s IoT readiness, piloting smart solutions, to improving infrastructure and city services and offering business and marketing support for great ideas,” said Datuk Faris Yahaya, Managing Director of Cyberview Sdn Bhd.
“The Smart Traffic Analytics and Recognition System that we are inaugurating today is the result of one such collaboration. This is just the first of the many future smart collaborations that we aim to undertake in the areas of infrastructure, environment, social and economy within Cyberjaya. Through efforts such as the one we have today with VADS Lyfe, the tech innovation sandbox here will be further enriched with smart solutions benefiting our city population. Ultimately, we hope to see not only the people of Cyberjaya, but also the broader population of Malaysians, enjoying cutting-edge smart city solutions developed and fine-tuned right here in Cyberjaya,” added Datuk Faris.
The Smart Traffic Analytics and Recognition System aims to improve the traditional approach of traffic lights. The system uses closed circuit television (CCTV) cameras to enable real-time analysis of traffic demands at each intersection via video analytics detection approach. The system will dynamically adjust the duration of green time according to the analytics, ensuring better traffic flow along the stretch.
Massimo Miglioulo, Chief Executive Officer, VADS Lyfe said, “The Smart Traffic Analytics and Recognition System is a cost effective system for brownfield areas such as Cyberjaya, because it leverages on TM’s existing extensive infrastructure. We can now dynamically adjust the green period for each traffic light and connect remotely to the next. By doing so, the adjacent traffic lights will have the awareness of its neighboring junctions thus optimising the flow from one junction to the next. With a smoother traffic flow, the road users here can save their travel time and money, making Cyberjaya a more efficient city that enriches its community, in line with our brand promise, ‘Life Made Easier’.”
The Smart Traffic Analytics and Recognition System comes with remote management system which allows for remote monitoring at its Traffic Management Command Centre, located at Cyberview’s CoInnov8, a collaborative centre for smart city and IoT solutions. VADS Lyfe, in collaboration with Intel, deployed Intel® IoT Gateway technology to analyse the data streamed in from the Internet Protocol-based CCTV. The analytics enables dynamic controlling of the traffic lights to optimise the flow, and adapt the system to future traffic conditions and needs. The adoption of the Intel® IoT Gateway technology also allows the data to be extended to support city surveillance and assist with town planning activities.
Under fixed-time (traditional) traffic light operation system, the traffic signals will display green for a predetermined period for every cycle regardless of the real-time traffic conditions. If there are no vehicles waiting, the time could be better allocated to a busier approach. The timing allocated for each approach can only be varied by manual setting, however the most important issue still remains – lack of feedback mechanism interacting with the controller to provide data on the actual demand for each approach.
The Smart Traffic Analytics and Recognition System is developed under Cyberview’s Smart City development initiative and supported by Malaysia Digital Economy Corporation (MDEC) through the Smart City Catalyst fund.