Smart City Gnosys
Smart city article details
| Title | Urban Fiber Based Laser Interferometry For Traffic Monitoring And Analysis |
|---|---|
| ID_Doc | 59968 |
| Authors | Wang G.; Pang Z.; Wang F.; Chen Y.; Dai H.; Wang B. |
| Year | 2023 |
| Published | Journal of Lightwave Technology, 41, 1 |
| DOI | http://dx.doi.org/10.1109/JLT.2022.3209499 |
| Abstract | Accurate road condition monitoring is of great significance to alleviate urban traffic congestion and improve the urban environment. To monitor traffic flow on the road, mobile phone navigation service is preferred by most citizens, while it has a blind zone in heavy vehicle monitoring due to user deviation. With the help of laser interferometry, the widespread fiber network itself may undertake the sensing task. In this paper, we propose a fiber-based traffic monitoring method, to obtain the traffic flow of both heavy and light vehicles. This user-authorization free method can be an efficient complement to navigation services. The detected light vehicle flow is validated by traffic data from a mobile navigation company with correlation coefficient of 0.96. We also measure heavy vehicle's pattern for months including several special periods. During the cyber shopping extravaganza, the busy freight trade causes 2.2 times the heavy vehicle flow of usual time. On the contrast, necessary traffic control makes the heavy vehicles decrease to 0.2~0.3 that of the usual time on national major event days. During the 2022 Beijing Winter Olympics, we find some Olympic related conveyance appearing in the evening. Those interesting phenomena suggest the practicability of fiber sensing in traffic monitoring, road health measurement, and its further potential in smart city foundation. © 1983-2012 IEEE. |
| Author Keywords | Band-filtered strain energy method; fiber sensing; laser interferometry; traffic monitoring; urban fiber link |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
24469  | 0.876 | Burdzik R.; Celiński I.; Ragulskis M.; Ranjan V.; Matijošius J. | Estimation Of Vehicle Traffic Parameters Using An Optical Distance Sensor For Use In Smart City Road Infrastructure | Journal of Sensor and Actuator Networks, 13, 4 (2024) |
| 18296 | 0.874 | Colares R.A.; Huancachoque L.A.; Conforti E.; Mello D.A.A. | Demonstration Of Φ-Otdr-Based Dfos Assisted By Yolov8 For Traffic Monitoring In Smart Cities | 2024 SBFoton International Optics and Photonics Conference, SBFoton IOPC 2024 (2024) |
| 26468 | 0.871 | Colares R.A.; Conforti E.; Rittner L.; Mello D.A.A. | Field Trial Of An Ml-Assisted Phase-Sensitive Otdr For Traffic Monitoring In Smart Cities | International Conference on Transparent Optical Networks (2024) |
| 57419 | 0.868 | Wang G.; Pang Z.; Zhang B.; Wang F.; Chen Y.; Dai H.; Wang B.; Wang L. | Time Shifting Deviation Method Enhanced Laser Interferometry: Ultrahigh Precision Localizing Of Traffic Vibration Using A Urban Fiber Link | Photonics Research, 10, 2 (2022) |
| 26438 | 0.856 | García L.; Mota S.; Titos M.; Martínez C.; Segura J.C.; Benítez C. | Fiber Optic Acoustic Sensing To Understand And Affect The Rhythm Of The Cities: Proof-Of-Concept To Create Data-Driven Urban Mobility Models | Remote Sensing, 15, 13 (2023) |