DESIGNING TOOLS FOR AUTOMATED DATA COLLECTION FOR IoT ROAD CONDITION MONITORING SYSTEMS

Abstract

The object of the research is the data collection processes on road conditions in monitoring and maintenance systems based on Internet of Things (IoT) technologies. A concept of data collection and aggregation from sensors is proposed to ensure their effective processing at the IoT network edge, with the possibility of integration into smart city systems based on IoT. The proposed approach of automated data collection using embedded devices in vehicles enables dynamic monitoring of road conditions with minimal resource consumption. To implement the proposed concept, a complex of hardware and software has been developed in the form of an experimental prototype of an IoT road condition monitoring system. Experiments have proven that the proposed tools enable rapid response to road defects in any terrain, and the aggregated data format is appropriate for further analysis, including intelligent analysis. The proposed tools can be used in smart city maintenance systems to improve driving quality and prevent critical situations related to poor road conditions.