High Spatiotemporal Passenger-Centric Transit Performance Measures using Archived GTFS-Real Time Data

Unreliable public transportation is a barrier to reaching employment, education, and other community lifeline services. Most transit agencies provide a measure of on-time performance as the percentage of time that a bus arrives within a predefined on-time window to a stop. However, automatic vehicle location (AVL) and automatic passenger count (APC) technologies enable higher resolutions performance metrics to be developed. Using archived General Transit Feed Specification (GTFS)-real-time data, this project proposes high spatiotemporal resolution, passenger-centric on-time performance measures for MTA Maryland serving the Baltimore metropolitan area. Metrics include disaggregate on-time performance, reoccurring vs non-reoccurring delay, schedule and headway adherence, and the degree of schedule adherence. These metrics will be weighted by ridership and displayed on a publicly available web-based dashboard. The approach outlined in the project may be generalized to any transit agency that utilizes APC and AVL technology.


    • English


    • Status: Active
    • Funding: $101570
    • Contract Numbers:


    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Morgan State University

      1700 E. Cold Spring Lane
      Baltimore, MD 21251, Maryland  United States  21251
    • Project Managers:

      Chavis, Celeste

    • Performing Organizations:

      Morgan State University

      School of Engineering
      Cold Spring Lane and Hillen Road
      Baltimore, MD  United States  21239
    • Principal Investigators:

      Chavis, Celeste

    • Start Date: 20231101
    • Expected Completion Date: 20241031
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01909260
    • Record Type: Research project
    • Source Agency: Center for Multi-Modal Mobility in Urban, Rural, and Tribal Areas (CMMM)
    • Contract Numbers: CMMM-MSUCC-2023-C0007
    • Files: UTC, RIP
    • Created Date: Feb 22 2024 4:04PM