Field Trial of an ML-Assisted Phase-Sensitive OTDR for Traffic Monitoring in Smart Cities

Author(s)

Colares, Robson A. ; Conforti, Evandro ; Rittner, Leticia ; Mello, Darli A. A.

• Document type: Journal article
• Source: 2024 24TH INTERNATIONAL CONFERENCE ON TRANSPARENT OPTICAL NETWORKS, ICTON 2024; v. N/A, p. 4-pg., 2024-01-01.

Abstract

We present a field trial of cost-effective distributed optical fiber sensing (DOFS) for traffic intensity estimation. The field trial uses a buried single-mode fiber installed along the university campus intended for communications and research experimentation. Acquired phi-OTDR traces are concatenated and transformed into a space-time domain to form images. The resulting images are then processed by a MobileNetv2 model for car counting. Training is carried out by a set of collected images labeled by traffic information gathered automatically from camera videos processed with the novel YOLOv8 model. The results indicate that the implemented setup successfully counts heavy vehicles with high accuracy. The setup is also applied to data sets collected over entire days, showcasing its successful application for traffic monitoring in smart cities.<bold> </bold> (AU)

• FAPESP's process: 22/07488-8 - Machine learning applications for advanced optical networks
• Grantee: Darli Augusto de Arruda Mello
• Support Opportunities: Regular Research Grants
• FAPESP's process: 22/12917-5 - Phase-sensitive OTDR-based distributed sensing for smart cities
• Grantee: Robson Assis Colares
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• FAPESP's process: 21/06569-1 - High-speed strategic internet technologies
• Grantee: Evandro Conforti
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 21/11380-5 - CPTEn - São Paulo Center for the Study of Energy Transition
• Grantee: Luiz Carlos Pereira da Silva
• Support Opportunities: Research Grants - Science Centers for Development
• FAPESP's process: 22/11596-0 - Scientific EMU: acquisition of transmission and characterization equipment for ultra-high-speed data links
• Grantee: Darli Augusto de Arruda Mello
• Support Opportunities: Research Infrastructure Program - Scientific