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Podium Presentation at the Conference, with Full Paper in Conference Proceedings

Connected & Autonomous Vehicle (CAV) Impacts

Session: CAV Data-Empowered Traffic System Operation Innovations

1372783 - Development of the Data Pipeline for a Connected Vehicle Corridor

Thursday, June 15, 2023
10:45 AM – 11:00 AM CST
Room: 408
TRACK: Podium Presentation with a Paper in the Proceedings

    Primary Author(s)

  • Keshu Wu

    Research Assistant
    University of Wisconsin-Madison
    Madison, WI, United States

    • Presenter(s)

  • Keshu Wu

    Research Assistant
    University of Wisconsin-Madison
    Madison, WI, United States

    • Co-Author(s)

  • Yang Cheng, Ph.D.

    Scientist
    University of Wisconsin-Madison
    Madison, Wisconsin, United States

    • Presenter(s)

  • Yang Cheng, Ph.D.

    Scientist
    University of Wisconsin-Madison
    Madison, Wisconsin, United States

    • Co-Author(s)

  • Steven T. Parker, Ph.D.

    Managing Director, TOPS Lab
    University of Wisconsin-Madison
    Madison, Wisconsin, United States

  • Bin Ran, Ph.D.

    Vilas Distinguished Achievement Professor
    University of Wisconsin-Madison
    Madison, Wisconsin, United States

  • David A. Noyce, Ph.D.

    Executive Associate Dean and Arthur F. Hawnn Professor
    University of Wisconsin-Madison
    Madison, Wisconsin, United States

Connected and automated vehicle (CAV) technologies have demonstrated great potential for safety, mobility, environmental, and social benefits. Multiple testbeds have been deployed throughout the world to investigate and develop CAV-related applications. Information sharing between CAVs and road infrastructures is receiving significant attention. The Traffic Operations and Safety (TOPS) Laboratory in the UW-Madison College of Engineering has partnered with the City of Madison and the Wisconsin Department of Transportation (WisDOT) to develop a Connected Corridor as a testbed for CAV and cooperative driving automation (CDA) technologies. In this work, we present an overview of the system architecture, implementation, and operation of the data pipeline system. The system is designed to collect, process, extract, and store real-time data collected and transmitted by the roadside units (RSUs) deployed at the intersections in the Connected Corridor. A virtual edge computing design is implemented in the data pipeline's system architecture to enhance the system's reliability and scalability. The system modules, dataflows, and data visualization are also discussed. The data archived by the data pipeline system will be used for future CAV and CDA applications. The successful implementation of the current prototype is easily transferable and applicable to other connected corridors of a similar nature that will be operated in the future.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Describe the system architecture design of the data pipeline system of the Connected Corridor.
  • Build the distributed processing workflow of the roadside units with the edge architecture.
  • Conduct and transfer the practical implementation of the Connected Corridor prototype to other similar connected corridors to be operated in the future.
  • Describe the data transmission and processing procedures between the roadside units and the edge servers.