• NC Transportation Centers of Excellence - Mobility and Congestion

    NCDOT Research Project Number: TCE2020-02

 Executive Summary

  • The NCDOT is launching a bold and forward-looking effort to establish a multi-university transportation centers of excellence (CoE) to provide borad-based, multidisciplinary research into the applications and impacts of cutting-edge technologies and emergent, disruptive trends. The projects within this center were custom-built to address the research areas for Mobility and Congestion.

    This proposal presents the organization and goals of an ITRE at North Carolina State University led transportation CoE consortium. This CoE is aimed at the Mobility and Congestion research focus area outlined in NCDO​T’s University Transportation Centers of Excellence Request for Proposals (RFP). The project team spans five universities and include nine researchers.

    The consortium team is actively involved in three ongoing USDOT University Transportation Centers with consortium members serving as institution lead for a National Center and a Tier 1 center, and as major institution partners for the Regional center to which North Carolina belongs. 

     
    In addition to cutting-edge research, the CoE will engage and expose students through direct participation in research, course enhancements, and internship experiences. The consortium members are committed to making this pilot CoE a success.

     
    Consortium Research Goals and Objectives
    Our Center of Excellence on Mobility and Congestion will achieve its aims through the execution of three projects. In developing these projects, the center team began with the mobility and congestion research areas enumerated in the CoE RFP:
    • ITS and data usage
    • Active/adaptive congestion management
    • Alternative intersection and interchange designs
    • The role of transit in improving mobility and reducing congestion
    • Transit and MaaS role in improving economic and healthcare access for ​underserved populations
    • Other technological solutions to congestion management
    These areas were organized into three themes:
    1. Theme #1: Big Data and Data-Driven Transportation Management and Decision Support
    2. Theme #2: Active Transportation Management/Integrated Corridor Management
    3. Theme #3: Transit and Mobility as a Service
    An idea generation team including nearly 40 researchers across the center team’s five universities were invited to develop collaborative research ideas under these three themes.


     

    Projects

    Lead Institution:  Institute for Transportation Research and Education (ITRE - NCSU)

    ​​​Peer Institutions:       Fayetteville State University, North Carolina State eUniversity, North Carolina A&T University, University of North Carolina Chapel Hill

    Project #1:      Deep Learning Software for Traffic State Prediction

    FSU*: S. Bhattacharya, M. Adivar; NCSU – A. Hajbabaie, n. Greis, G. List; ITRE – T. Chase, NC A&T -H. Park

     

    Project #2:      Smart Connected and Automated Vehicle Fleet Manage Developing Regional Dispatch Decision Support for Congestion Mitigation

    Duke* - M. Cummings; NCSU – E. Bardaka, N. Rouphail; UNC-CH HSRC – R. Srinivasan

     

    Project #3:      Transit and MaaS Role in Improving Economic Healthcare Access for Underserved Populations

    ITRE* - K. Monast; NCSU – E. Bardaka; UNC-CH – N. McDonald; NC A&T – H. Park; FSU – B. Adivar; T. Tran

     

    *First institution listed on each project is the lead for that specific effort 

  
Billy M. Williams
Researchers
  
Billy M. Williams; Ali Hajbabaie; George F. List; Thomas Chase; Nagui M. Rouphail; Kai Monast; Jeremy Scott; Eleni Bardaka; Raghavan Srinivasan; Noreen McDonald; Burcu Adivar; Noel P. Greis; Sambit Bhattacharya; Hyoshin Park; Mary "Missy" Cummings; Trung Tran; Murat Adivar
  
David L. Howard
  
John W. Kirby

 Report Period

  • February 1, 2020 - July 31, 2022

 Status

  • In Progress

 Category

  • Traffic, Mobility, Safety and Roadway Design

 Sub Category

  • Miscellaneous
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