Korea Expressway Corporation Partners with Malaysia on Smart Highway Development
Korea Expressway Corporation (KEC) is expanding cooperation with Malaysia to advance smart highway development, drawing on its experience in automated toll collection and highway operations in South Korea.KEC announced on October 20 that it had signed a memorandum of understanding (MOU) with the Malaysian Highway Authority (LLM) to strengthen cooperation in road infrastructure and transportation…
The Korea Expressway Corporation (KEC) has entered into a memorandum of understanding (MOU) with Malaysia's Malaysian Highway Authority (LLM) to collaborate on smart highway development. This partnership, signed on October 20 during the 2026 ITS World Congress in Gangneung, South Korea, builds upon previous agreements between South Korea's Ministry of Land, Infrastructure and Transport and Malaysia's Ministry of Works.
The five-year agreement focuses on smart highway management, advanced toll collection policies, traffic management centers, intelligent transportation systems, highway infrastructure development, asset management, and technical training and technology transfer. A key focus area for the collaboration is Malaysia's planned implementation of a multi-lane free-flow (MLFF) tolling system, which allows vehicles to pay tolls without stopping, thus improving traffic flow and driver convenience.
KEC, with its expertise in automated toll collection and highway operations in South Korea, aims to leverage its experience in barrier-free toll collection systems and successful implementations of MLFF systems in Kazakhstan and the Padma Bridge in Bangladesh. The agreement also includes policy and institutional cooperation, as well as the sharing of technical solutions and operational expertise.
While the MOU does not confirm any specific projects, it is expected to strengthen trust between the organizations and serve as a foundation for a strategic partnership in developing next-generation highways.
Written by urgent.news from Korea IT Times's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
