Ye, ZhoujingYan, GuannanWei, YaZhou, BinLi, NingShen, ShihuiWang, Linbing2021-04-262021-04-262021-04-10Ye, Z.; Yan, G.; Wei, Y.; Zhou, B.; Li, N.; Shen, S.; Wang, L. Real-Time and Efficient Traffic Information Acquisition via Pavement Vibration IoT Monitoring System. Sensors 2021, 21, 2679.http://hdl.handle.net/10919/103111Traditional road-embedded monitoring systems for traffic monitoring have the disadvantages of a short life, high energy consumption and data redundancy, resulting in insufficient durability and high cost. In order to improve the durability and efficiency of the road-embedded monitoring system, a pavement vibration monitoring system is developed based on the Internet of things (IoT). The system includes multi-acceleration sensing nodes, a gateway, and a cloud platform. The key design principles and technologies of each part of the system are proposed, which provides valuable experience for the application of IoT monitoring technology in road infrastructures. Characterized by low power consumption, distributed computing, and high extensibility properties, the pavement vibration IoT monitoring system can realize the monitoring, transmission, and analysis of pavement vibration signal, and acquires the real-time traffic information. This road-embedded system improves the intellectual capacity of road infrastructure and is conducive to the construction of a new generation of smart roads.application/pdfenCreative Commons Attribution 4.0 Internationalroad-embedded systempavement vibrationinternet of thingstraffic informationreal-time monitoringArticle - Refereed2021-04-23https://doi.org/10.3390/s21082679