A smart city integrates diverse sets of information and communication technologies to monitor asset condition, security, safety, service quality, and operational efficiencies, often in real time, which requires significant information from infrastructure road sensors. In this study, an infrastructure embedded sensor network will be developed to provide real-time traffic and road condition information such as traffic volume (e.g. ADT, peak-hour traffic), traffic composition (vehicle classification), vehicle speed, dynamic weight via weigh-in-motion (WIM), and other data. Robust fiber optics-based infrastructure sensors will be used as a candidate for the embedded sensor network. Detail sensor network design, data analysis for traffic information abstraction will be performed followed by field testing for validation of the network. The developed infrastructure sensor network can be used to support the application of smart cities with future efforts in fields.
Ying Huang, Pan Lu, and Raj Bridgelall , "Road sensor network for smart city applications," Proc. SPIE 10598, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018, 105983D (Presented at SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring: March 09, 2018; Published: 27 March 2018); https://doi.org/10.1117/12.2295949.
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