Corridor-Wide Surveillance Using Unmanned Aircraft Systems Phase II: Freeway Incident Detection using Unmanned Aircraft Systems Part A

During the second phase of this study, the team collected field data with unmanned aerial vehicles (UAVs) at different elevations and distances from the road to analyze the performance of a background subtraction algorithm for vehicle detection. Validation analyses were carried out and their results indicated that a detection rate with an accuracy of up to 92% can be reached using the background subtraction algorithm. The results of the ANOVA test confirmed that the drone’s distance from the road was the only main factor associated with vehicle detection percentage (at the 95% confidence level). It was also determined that, depending on drone type, elevation can affect the detection rate based on the interaction plots created. The experiences from the field activities that took place during this phase of the project were incorporated into the previously developed protocol for the use of UAVs in corridor surveillance. The protocol was also updated with the steps that must be followed for several scenarios and these can be incorporated in future studies on the use of drones in transportation applications.

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  • Supplemental Notes:
    • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
  • Corporate Authors:

    University of Puerto Rico at Mayagüez

    Department of Civil Engineering and Surveying
    PO Box 9000
    Mayagüez PR 00681-9000, PR  United States  00681-9000

    National Institute for Congestion Reduction

    University of South Florida
    Tampa, FL  United States  33620

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590
  • Authors:
    • Cruzado, Ivette
    • Figueroa-Medina, Alberto M
    • González, David R
    • Valdés, Didier M
    • Rivera-Pérez, Luz G
    • Ruiz-Hernández, Bryan E
  • Publication Date: 2023-6

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Figures; Photos; References; Tables;
  • Pagination: 58p

Subject/Index Terms

Filing Info

  • Accession Number: 01887440
  • Record Type: Publication
  • Contract Numbers: 69A3551947136, 79075-00-SUB A
  • Files: UTC, NTL, TRIS, ATRI, USDOT
  • Created Date: Jul 17 2023 9:13AM