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Aidiladha exodus clogs major highways, tidal lane activated on Sungai Besi Highway
Aidiladha exodus clogs major highways, tidal lane activated on Sungai Besi Highway

Malay Mail

time2 days ago

  • Malay Mail

Aidiladha exodus clogs major highways, tidal lane activated on Sungai Besi Highway

KUALA LUMPUR, June 6 — Traffic flow on several major highways was reported to be congested and slow as of 5 pm this evening, following an increase in city folk vehicles leaving to celebrate Aidiladha in their hometowns. A spokesperson for the Malaysian Highway Authority (LLM) said traffic flow on the Kuala Lumpur-Karak Highway (KLK) had increased from the eastbound direction in Gombak to Genting Sempah. On the North-South Expressway (PLUS), traffic on the E2 route was also reported to be slow northbound from Pasir Gudang to Dato' Onn and from Senai Utara to Sedenak, and the same situation was also reported for the southbound route from Universiti Putra Malaysia to Nilai Utara, Nilai to Bandar Ainsdale and Seremban to Pedas Linggi. 'Traffic is also congested on the PLUS Highway, route E1 northbound from Bukit Lanjan to Rawang Selatan, Sungai Buaya to Bukit Beruntung, Bukit Tagar to Lembah Beringin and from Juru to Perai. 'Meanwhile, on the PLUS E1 in the southbound direction, the same situation also occurs from Juru Auto City to the Juru Toll Plaza,' he said when contacted by Bernama today. However, he said that the East Coast Highway (LPT) 1 and 2 are still smooth and under control in both directions. 'However, congestion is reported on the Sungai Besi Highway, therefore a tidal lane has been activated after the Mines Selatan Toll Plaza to UPM/Putrajaya from 4 pm to 8 pm tonight,' he said. — Bernama

New AI-powered AWAS speed cameras delayed despite June launch promise, Transport Ministry yet to confirm trial start
New AI-powered AWAS speed cameras delayed despite June launch promise, Transport Ministry yet to confirm trial start

Malay Mail

time5 days ago

  • Automotive
  • Malay Mail

New AI-powered AWAS speed cameras delayed despite June launch promise, Transport Ministry yet to confirm trial start

KUALA LUMPUR, June 4 — The trials for the new Automated Awareness Safety System (AWAS) have not yet begun. In fact, the exact starting date for the trials has not yet even been set. This is based on the information from the Minister of Transport, Anthony Loke's office, that was obtained by Berita Harian. Back in March, the Secretary-General for the Ministry of Transport (MOT), Jana Santhiran Muniayan, said that the AWAS trials would kick off in June. While the new AWAS cameras have been deployed throughout Malaysia, the trials will only take place in two places. The first one being the Genting Sempah – Gombak R&R section of the KL – Karak Expressway, while the system will also be tested at the route between Senawang and Simpang Ampat toll plaza on the North-South Expressway. What makes AWAS different from AES? The new AWAS is essentially the replacement for the previous Automated Enforcement System (AES). Aside from using new imagery equipment, AWAS will also be using a new method to detect lawbreakers. Instead of capturing the speed of the passing vehicle, AWAS will be using the point-to-point method that will calculate the time that the vehicle would reach its destination, corresponding to the route's speed limit. This way, you are no longer able to avoid detection by slowing down in front of the speed trap camera. As an example, let's say you are supposed to reach a particular toll plaza from point A in 30 minutes based on a 110km/h speed limit, but you arrive at the plaza in 20 minutes. This means you have violated the speed limit, and AWAS may have caught you in action. Jana also previously said the new AWAS implementation can even detect if the driver has stopped at a certain location to prolong their travel time in order to avoid being caught by the system. This is being done with the help of artificial intelligence that will work together with the new Ekin Spotter cameras, which feature Automatic Number Plate Recognition (ANPR) technology and can detect speeds of up to 320km/h. — SoyaCincau

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