This paper presents a study on the design and implementation of a real-time Internet of Things (IoT) framework for monitoring road conditions. The proposed system incorporates an accelerometer sensor attached to the rear axle of a vehicle to capture vertical acceleration signals resulting from the interaction between the vehicle suspension system and the road surface. These acceleration signals are utilized to determine vertical displacements, which are then used to calculate the International Roughness Index (IRI) as an indicator of road quality. The system comprises a hardware node for acquiring acceleration signals and a remote monitoring system for calculating and visually representing the IRI on a road map. Our results demonstrate that the proposed system is effective in automatically assessing road conditions, with an error in the calculated IRI of less than 3.5%