Data-driven Network Models for Analyzing Multi-modal Transportation Systems

The project team proposes to establish a new theory and open-source tool for modeling both passenger and vehicle flow in a sophisticated transportation network. The model takes input of data collected from various source, 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 will use real-time and historical roadway, parking and transit data, in both Philadelphia and Pittsburgh Region, to test and validate the network model. This research can ultimately help the regional metropolitan planning organizations (MPOs) and departments of transportation (DOTs) quantitatively analyze and optimize various management strategies for sustainable mobility.

Project

  • Status: Active
  • Funding: $70000
  • Contract Numbers:

    69A3551747111

  • Sponsor Organizations:

    Mobility21

    Carnegie Mellon University
    500 Forbes Avenue, Hamburg Hall
    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
  • Managing Organizations:

    Carnegie Mellon University

    Pittsburgh, PA  United States 
  • Project Managers:

    Ehrlichman, Courtney

  • Performing Organizations:

    Carnegie Mellon University

    Pittsburgh, PA  United States 
  • Principal Investigators:

    Qian, Sean

  • Start Date: 20170701
  • Expected Completion Date: 20180630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645911
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Sep 8 2017 10:58AM