TLDR
- Putrajaya is upgrading its traffic light system with AI technology to improve traffic flow in three phases, currently in Phase 2 involving equipment replacement.
- The AI system uses video analysis cameras to detect vehicle types and queue lengths, enabling real-time traffic monitoring.
- Features like green wave coordination and adaptive green light timing aim to create smoother, non-stop traffic across about 140 intersections.
It’s safe to say that artificial intelligence (AI) can be found in almost every aspect of our daily lives. Now, it appears that the technology will also be used to control traffic lights.
In a Facebook post, the Putrajaya Corporation (PPj) recently announced that the federal territory will be adopting an improved traffic light system that incorporates AI.
According to PPj, the transition is expected to deliver smoother traffic flow and will be implemented in three phases.
Image Credit: The Malaysian Reserve
Currently in Phase 2
Phase 1 has reportedly already been completed, with proof-of-concept testing successfully carried out along Lebuh Wawasan, Persiaran Timur to Jalan P14, and Persiaran Perdana.
“We are currently in Phase 2, known as the ‘transitioning phase’. This phase involves the replacement of equipment at intersections."
“Please note that the system will require some time to fully integrate the green wave function. We ask for your patience and consideration throughout this phase,” the statement said.
As for Phase 3, approximately 140 traffic lights at Putrajaya’s intersections are expected to be upgraded to the new AI-based technology to improve overall traffic management.
So, how does the new AI-based traffic light system work?
Image Credit: Facebook
According to the post, the AI-based system includes three key features:
Video Analysis (VA) cameras
- Detect the types and number of vehicles on the road
- Measure the length of vehicle queues with accuracy
Green Wave coordination
- Connects nearby intersections
- Enables smoother, non-stop traffic flow
Real-time adaptation
- Adjusts green light duration based on current traffic conditions
- Predicts traffic patterns to optimise traffic flow
Featured Image Credit: Dreamstime, Smart Putrajaya