Data Fusion Aided Freeway Analysis for Highway Capacity Manual

The Highway Capacity Manual (HCM) is one of the widely used references in the transportation engineering. The 6th edition of HCM provides a multimodal framework to broaden the scope of HCM applications. This project focused on the freeway facilities analysis which plays the core role in other freeway analysis types in HCM. Other facility-based analysis in HCM is built on freeway facilities methodology such as travel time reliability, Active Traffic and Demand Management (ATDM), or Work Zone analyses. FREEVAL is the official computational engine for HCM, performing freeway analysis. It is freely available to download ( It replicates the methods in the HCM, and offers the same analysis types as offered by HCM such as travel time reliability analysis or etc. FREEVAL first developed more than a decade ago using Excel/VBA. The 2015 version used Java as the platform and as a result offered a lot of enhancements in terms of computational speed as well as GUI. This project utilized FREEVAL computational engine and built its findings as additional packages for FREEVAL. This research focused on the use of available data sources to streamline the HCM freeway analysis. Examples of available data sources were investigated are a) online mapping tools and b) sensor data providing speeds. These data sources can be utilized to aid analysts perform freeway segmentation as well as demand estimation and calibration.

  • 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
  • Authors:
    • Aghdashi, Behzad
    • Trask, J Lake
  • Publication Date: 2018-3


  • English

Media Info

  • Media Type: Web
  • Edition: Final Report
  • Features: Figures; References; Tables;
  • Pagination: 78p

Subject/Index Terms

Filing Info

  • Accession Number: 01666575
  • Record Type: Publication
  • Report/Paper Numbers: Project ID: NTC2015-MU-R-05
  • Created Date: Apr 2 2018 10:39AM