Review of IoT-Based Sensing Technologies for Roadway Condition Monitoring
Keywords:
IoT sensor networks, road infrastructure monitoring, predictive maintenance, structural health monitoring, smart transportation, data analytics, wireless sensor networksAbstract
The rapid deterioration of road infrastructure worldwide necessitates advanced monitoring systems to ensure public safety and optimize maintenance strategies. This comprehensive review examines the application of Internet of Things (IoT)-based sensor networks for road infrastructure monitoring, analyzing data from 150 research papers published between 2018-2024. The study investigates sensor technologies, network architectures, data analytics methodologies, and implementation challenges in real-world deployments. Through systematic analysis of 45 case studies across different geographical regions, we identified that accelerometer-based vibration sensors (68.9%) and strain gauges (45.3%) are the most commonly deployed sensing technologies. Our analysis reveals that LoRaWAN (34.7%) and 5G networks (28.3%) dominate communication protocols, while machine learning algorithms achieve 87.4% accuracy in predicting structural anomalies. The review identifies significant challenges including power consumption optimization, data security, and standardization issues. Economic analysis indicates that IoT-based monitoring systems reduce maintenance costs by 32-45% compared to traditional inspection methods. The findings demonstrate that integrated IoT sensor networks provide real-time monitoring capabilities, enabling predictive maintenance strategies that extend infrastructure lifespan by 15-25%. This review contributes to the understanding of current technological trends and provides recommendations for future research directions in smart road infrastructure development.
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References
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