RaonPeople Obtains AI Patent for 'Autonomous Driving Collaboration and Digital Twin Data Construction'

[Asia Economy Reporter Hyunseok Yoo] AI specialist company Raon People announced on the 16th that it has acquired patents related to devices such as autonomous driving cooperation technology development and digital twin construction, including controlling traffic signals by detecting traffic volume and congestion.

This patent is a device and technology that calculates the traffic volume of vehicles passing through an intersection per unit time, then generates and transmits data to predict traffic volume and control signals. It is an AI solution that not only prevents intersection congestion but also assists smooth driving by communicating with autonomous vehicles in connection with a control tower.

Additionally, the digital twin in the traffic field supports technology that allows prediction and verification of future scenarios based on test results such as commuting hours, rush hours, and congestion zones in a virtual world built exactly like real roads, terrain, buildings, and traffic environments based on actual data. It is expected that the data will be utilized not only for collecting and analyzing traffic-related information but also for linking with various projects and preparing for various accidents, disasters, and safety.

Raon People can contribute to reducing social costs such as commuting congestion, signal waiting times, and decreasing exhaust gas and carbon emissions by accumulating data using the patented technology and applying AI signal control solutions at each intersection. Furthermore, by utilizing AI and communication technologies, it is expected to be efficiently used not only to assist autonomous driving of vehicles but also to support organic traffic flow, thereby preventing traffic accidents, early detection, and prompt handling.

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