Police Agency, Siheung City, and Others Sign MOU for 'National R&D Integrated Testbed Construction'

Expecting Effective Validation of 'Big Data System'

The National Police Agency, Siheung City, and the Autonomous Driving Technology Development Innovation Project Group signed a Memorandum of Understanding (MOU) on the 1st at Siheung City Hall in Siheung, Gyeonggi Province to establish an integrated testbed for national research and development projects.

The integrated testbed was established to jointly verify and supplement research tasks of the Autonomous Driving Technology Development Innovation Project in a single location. Demonstrations of research outcomes are scheduled to take place on seven road sections within the Siheung City autonomous driving pilot operation zone by 2026.

Through this MOU, they agreed to actively cooperate on the application, installation, and operation of research outcomes within the integrated testbed, review plans related to the installation of research outcomes, mutual information sharing, responding to civil complaints, and promotion.

The National Police Agency stated that the integrated control platform, field infrastructure for shaded areas and adverse weather response, and big data systems are expected to be effectively verified.

Yoon Sosik, Director of the Traffic Bureau of the National Police Agency, said, "We expect that the autonomous driving-based technologies researched so far will be effectively verified and supplemented through this demonstration project," adding, "We plan to actively prepare for the commercialization of autonomous driving, including institutional improvements and infrastructure construction."

Im Byungtaek, Mayor of Siheung City, said, "Through the operation of the testbed, we will proactively establish fully autonomous driving technology and infrastructure by 2026," and added, "We will focus on enabling Siheung City to leap forward as a leading city in innovative technology."

Choi Jinwoo, Project Group Leader, said, "We hope to secure a large amount of data through sufficient demonstrations and improve technologies capable of responding to complex driving scenarios."

This content was produced with the assistance of AI translation services.