Analysis for Real-Time Contactless Road Roughness Estimation System with Onboard Dynamics Sensor

In the cold districts, there is a large portion of traffic collision which is caused by skidding on icy road in entire traffic collisions. Some method in the latest research can detect exact road surface weather condition with vehicle onboard sensor. In effort to realize high-level autonomous driving vehicle, understanding of road surface condition or road state is an essential knowledge. This paper introduces an estimation method for road surface state contactless sensors. This method utilizes 9-axis dynamics sensors to obtain vehicle behavior on the road. In particular, obtaining roughness of the road weather state could be a key feature to estimate road characteristics. The designing proposed system considers real-time measurement for roughness of the road. This allows to calculate roughness to estimate characteristics of road surface condition while vehicle is moving, and exchanges road state information with other moving vehicle with vehicle-to-everything (V2X) communication. This paper also reports the result of evaluation for our method on actual road to analyze with the prototype onboard system. The result shows that proposed approach can evaluate road surface roughness in real-time while vehicle is moving, whereas it is suggested that relationship among other onboard sensors and roughness value is independent from across road surface weather state.