ODOT Radar System for Real-Time Traffic Flow Monitoring

Details

• Creators:
  Refai, Hazem H. ; Habib, Mohamed Ali ; Li, Joshua Qiang ; Liu, Wenyao
• Corporate Creators:
  University of Oklahoma. School of Electrical and Computer Engineering ; Oklahoma State University. School of Civil & Environmental Engineering
• Corporate Contributors:
  Oklahoma. Department of Transportation. Office of Research and Implementation
• Subject/TRT Terms:
  • Travel time
  • Speed
  • Analysis
  • Radar
  • Automatic vehicle classification
  • AVC
  • HERE
  • INRIX
  • Estimation Models
• Publication/ Report Number:
  FHWA-OK-22-05
• Resource Type:
  Tech Report
• Geographical Coverage:
  Oklahoma ; United States
• Edition:
  Final Report Oct 2021 - Sep 2022
• Corporate Publisher:
  Oklahoma. Department of Transportation
• Abstract:
  This report presents research results and experiments that were designed to compare four traffic systems: Radar, AVC, HERE, and INRIX in terms of speed, volume, and travel time. The first three chapters introduce the systems, related studies, data collection procedures, and preprocessing techniques. The second three chapters detail the comparison results. Machine learning models that utilize radar speed data for travel time estimation are introduced in chapter 7. Chapter 8 presents the geospatial and temporal analysis experiment results.
• Format:
  PDF
• Funding:
  ODOT SPR Item Number 2314
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/68293/dot_68293_DS1.pdf
• File Type:
  [PDF - 5.72 MB]
• Collection(s):
  Artificial Intelligence Deployment Center of Excellence (AI COE) ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c4cd50e98a6ce40de46d57b802b29f6e40c6bb81b636dcbb6c800a604e6b1eec8c1f7ebd3a7600efdbcb7b611634068f95637c0d87ce0077cbbe99b3bfe5abd5