The transport ministry has announced that the integration of a point-to-point method into the Automated Awareness Safety System (AwAS) is expected to begin pilot testing by this June. Powered by AI, the pilot project will measure travel time and distance for detecting speed limit violations, replacing the static method currently in use.
Transport minister Anthony Loke previously said the current static method has not effectively reduced vehicle speeds or minimised accident risks as speeding drivers merely slow down in front of the cameras instead of maintaining reduced speeds. Transport ministry secretary-general Jana Santhiran Muniayan told Berita Harian that violators could be detected at toll plazas if they arrive earlier than the estimated travel time, which is done by calculating your average speed from point A to point B.
The pilot project will monitor to highway routes, namely from the Genting Sempah tunnel to the Gombak Rest Stop and from Senawang Toll Plaza to Simpang Ampat Toll Plaza (Alor Gajah). Moreover, a company has been appointed to conduct the proof-of-concept process, with Jana stating that it will not have any financial impact on the government.
A summons will be automatically issued if the system detects a vehicle’s licence plate arriving earlier than the estimated time. On top of this, the AI can apparently detect if a driver has stopped at any location to extend their travel time to evade detection.
(Source: NST)
