Data-Driven Network Models for Analyzing Multi-Modal Transportation Systems

The authors propose a new theory and an open-source tool for modeling both passenger and vehicle flow in a sophisticated transportation network. Their model takes data collected from various sources, and models individual travel activities and behavior on roadway systems, transit systems and parking systems. The multi-modal network model is the key to systematic planning and operations of transportation infrastructure. Planning, operational strategies and policies can be fully examined in the network model in terms of system delays, reliability, vehicle-miles traveled (VMT), fuel consumption and emissions. This research uses real-time and historical roadway, parking and transit data, in the Philadelphia and Pittsburgh regions, to test and validate the network model. This research can ultimately help regional metropolitan planning organizations and transportation departments to quantitatively analyze and optimize various management strategies for sustainable mobility..

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

    Technologies for Safe and Efficient Transportation University Transportation Center

    Carnegie Mellon University
    Pittsburgh, PA  United States  15213

    Carnegie Mellon University

    Department of Civil and Environmental Engineering
    5000 Forbes Avenue
    Pittsburgh, PA  United States  15213

    Office of the Assistant Secretary for Research and Technology

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

    University of Pennsylvania

    Philadelphia, PA  United States  19104
  • Authors:
    • Qian, Zhen (Sean)
    • Pi, Xidong
    • Ma, Wei
  • Publication Date: 2018-10


  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Research Report
  • Features: Figures; Maps;
  • Pagination: 8p

Subject/Index Terms

Filing Info

  • Accession Number: 01684087
  • Record Type: Publication
  • Contract Numbers: DTRT12GUTG11
  • Created Date: Oct 22 2018 9:35AM