Fiber Sensing: Real-time, Long-distance Traffic Monitoring

dc.contributor.authorViray, Regen
dc.contributor.authorMollenhauer, Michael A.en
dc.contributor.authorChen, Yuhengen
dc.contributor.authorHuang, Ming-Fangen
dc.date.accessioned2024-07-26T13:55:32Zen
dc.date.available2024-07-26T13:55:32Zen
dc.date.issued2024-07-26en
dc.description.abstractThe report presents the pilot testing of NEC’s distributed fiber optic sensing (DFOS) and artificial intelligence behavior detection technologies on the Virginia Smart Roads. The intent was to explore the viability of DFOS through existing fiber installations for traffic management and road safety, potentially superseding traditional methods like cameras or radar. Key use cases for DFOS include identifying wrong-way driving, traffic queues, emergency stops, and other non-standard driving behaviors, which are all critical for traffic management and safety. NEC collaborated with the Virginia Tech Transportation Institute to install fiber optics along a highway section conforming to Virginia Department of Transportation (VDOT) standards and executed orchestrated driving scenarios to test detection capabilities under various traffic and weather conditions. The results of these tests demonstrated that DFOS could effectively detect wrong-way driving across different traffic densities. However, challenges remain with vehicle count and speed accuracy in high-traffic situations. In addition, the DFOS hardware solutions would need to be deployable in roadside cabinets with limited environmental control to be viable for deployment across VDOT’s roadway system. The project underscores the strategic advantage of using existing network infrastructures for monitoring and suggests that while the NEC system shows promise in certain applications, further refinements are needed for handling complex traffic scenarios.en
dc.description.sponsorshipNSTSCEen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttps://hdl.handle.net/10919/120711en
dc.language.isoenen
dc.relation.ispartofseriesNSTSCE; 24-UR-151en
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/en
dc.subjectFiber sensingen
dc.subjectVirginia Smart Roadsen
dc.subjectTraffic monitoringen
dc.subjectwrong-way drivingen
dc.titleFiber Sensing: Real-time, Long-distance Traffic Monitoringen
dc.typeReporten
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
NSTSCE_Fiber Sense_FINAL.pdf
Size:
2.48 MB
Format:
Adobe Portable Document Format
Description:
Report
License bundle
Now showing 1 - 1 of 1
Name:
license.txt
Size:
1.5 KB
Format:
Item-specific license agreed upon to submission
Description: