The Awareness Automatic System (AWAS) will introduce an upgraded AI-powered ‘point-to-point’ (P2P) method to measure vehicle travel duration and distance, enabling the detection of speeding violations. A trial run is expected to begin this June.
This pilot project, designed to replace the current static speed enforcement method, will monitor two highway routes:
- Genting Sempah Tunnel to Gombak Rest Stop;
- Senawang Toll Plaza to Simpang Ampat (Alor Gajah) Toll Plaza.
Additionally, the system will be installed at high-risk accident zones along longer stretches, such as the Menora Tunnel to Sungai Perak Rest Stop route.
Datuk Jana Santhiran Muniayan, Secretary-General of the Ministry of Transport (MOT), explained in an interview with Berita Harian that speeding drivers can be detected by toll plaza sensors if they arrive at their destination earlier than the estimated travel time.
He mentioned that a company has already been appointed to handle the proof of concept (POC) for this system without any financial burden on the government.
“The pilot will be conducted on two selected highway routes. If proven effective, we are ready to implement it fully. The system, installed at toll plazas, will record travel time based on distance coverage.”
“For example, if a driver travels from Jalan Duta (Kuala Lumpur) to Tanjung Malim (Perak) faster than the allowed time, their vehicle’s license plate will be automatically detected, and a summons will be issued,” he said.
Jana Santhiran added that the AI-powered system can also detect if a driver stops at any location to artificially extend their travel time and evade detection.
“This means drivers cannot escape being caught for speeding, as the system calculates violations based on distance and time,” he emphasized.
Earlier in January, Transport Minister Anthony Loke announced that the AWAS cameras would be upgraded with the point-to-point method, replacing the previous static enforcement approach.
