HOV Lane Performance Monitoring System

This project evaluated performance measures for HOV facilities. The northbound and southbound HOV lanes on I-270 were used for a case study based on 2013 data. Data from sources including Bluetooth and stationary detectors were imported and analyzed. An innovative data clustering method was developed to separate travel time data on HOV and general purpose lanes. Two separate algorithms based on both hard and soft clustering were examined. A fuel efficiency procedure was applied for estimating fuel savings on HOV lanes. Value of time, cost of fuel and vehicle occupancy data were collected from creditable sources. By blending travel time, volume and occupancy data several performance measures including travel time savings, person throughput, and fuel savings were calculated for HOV lanes. Economic performance of the HOV lanes was estimated by applying financial factors including value of time and fuel cost. This approach was the first attempt to evaluate performance of HOV facilities by taking advantage of traffic data from various sources. In future all components of the system will be developed and added to the integrated software. By installing Bluetooth sensors on US-50 in Maryland, the system can be expanded to cover more HOV corridors. The approach can also be used to produce performance measures on high occupancy toll (HOT) lanes.

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

    National Transportation Center at Maryland

    1124 Glenn Martin Hall
    University of Maryland
    College Park, MD  United States  20742

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    University of Maryland, College Park

    Department of Civil and Environmental Engineering
    College Park, MD  United States  20742
  • Authors:
    • Haghani, Ali
    • Hamedi, Masoud
  • Publication Date: 2014-12

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; Maps; Tables;
  • Pagination: 34p

Subject/Index Terms

Filing Info

  • Accession Number: 01667571
  • Record Type: Publication
  • Report/Paper Numbers: NTC2014-SU-R-10
  • Files: UTC, TRIS, ATRI, USDOT
  • Created Date: Mar 13 2018 8:52AM