Mesoscopic car-truck flow modeling and simulation: theory and applications

Traffic flow modeling and simulation is central to transportation system analysis. Existing research has been primarily focusing on cars, while trucks are overlooked or modeled separately from cars. Unfortunately, characteristics of freight demand, such as when and how trucks travel, and how truck flow interacts with car flow, are unclear. This becomes the main hurdle for improving truck mobility. This research aims at developing a holistic framework for mesoscopic traffic simulation that mixes both cars and trucks, by considering their interrelations simultaneously. The result includes the prediction of travel time, travel delay, vehicle-mile-traveled and emissions for both cars and trucks, at each road segment and intersection by time of day. Thus, potential traffic management strategies for both passenger cars and freight transportation can be evaluated and deployed. This project is a continuation of the research from the Mobility21 project Data-driven Network Models for Analyzing Multi-modal Transportation Systems in FY 2018 led by PI Qian. It further extends the data-driven multi-modal modeling on passenger transportation (cars and buses) to the one that integrates both passenger and freight transportation. While the former model is still being improved, the latter model is the focus of FY 2019 that will bring more potential deployment partners from governmental agencies and private trucking companies. The expected outcome of this research is a framework of car-truck modeling in the regional transportation network, followed by a prototype web application that implements it using data of cars and trucks collected over many years in the state. The application also provides user interfaces to manage various scenarios of road closures/extensions and visualize the resultant system metrics for both cars and trucks. The simulation models and web application will be integrated into an open-source dynamic network analysis toolkit to test its effectiveness in the Philadelphia Metro network.


  • English


  • Status: Active
  • Funding: $90000
  • Contract Numbers:


  • Sponsor Organizations:

    Carnegie Mellon University

    Mobility 21 National UTDOT for Mobility of Goods and People

    Office of the Assistant Secretary for Research and Technology

    University Transportation Program
  • Managing Organizations:

    Carnegie Mellon Univeristy

    Mobility 21 National UTDOT for Mobility of Goods and People
  • Project Managers:

    Schweyer, Lisa Kay

  • Performing Organizations:

    Carnegie Mellon University

  • Principal Investigators:

    Qian, Sean

  • Start Date: 20180807
  • Expected Completion Date: 20190630
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01677512
  • Record Type: Research project
  • Source Agency: Technologies for Safe and Efficient Transportation University Transportation Center
  • Contract Numbers: 69A3551747111
  • Files: UTC, RiP
  • Created Date: Aug 7 2018 12:04PM