“There could be thousands, or tens of thousands of road noise characteristics based on various internal factors, such as tire patterns, size, and wear, and external factors, such as pavement types, age, and foreign substances," said a principal research engineer at Hankook Tire. "Therefore, the key was to measure and analyze the road noises under all possible conditions.”
Principal Research Engineer
Data collection was conducted at Hankook Tire's 20 tire performance testing sites, including Geumsan G'Track. Hankook Tire collected more than 600 sounds through roughly 200 runs under all possible conditions, including dry, wet, snow, slush, and icy conditions. The collected sounds were then converted into 45,000 pieces of data points by categorizing the road surface conditions into frequency characteristics through SK Planet's AI modeling technology. With the analyzed data, we developed a form of technology that can detect and identify hazardous road conditions in real-time, allowing road management agencies to prevent any accidents or alert drivers through road signages.