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IPOD Abstract for presentation (Poster or Podium)

CAV Impacts

1667267 - The Enhancement of the Data Pipeline of a Connected Vehicle Corridor: A Leap Towards Digital Twin

Tuesday, June 18, 2024
10:25 AM - 10:50 AM ET
Room: 219

    Primary Author(s)

  • Keshu Wu, PhD

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

    • Co-Author(s)

  • Yang Cheng, Ph.D.

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

  • Pei Li, PhD (he/him/his)

    Scientist
    University of Wisconsin Madison
    Madison, WI, United States

  • 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

    • Submitter(s)

  • Keshu Wu, PhD

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

Abstract:

The successful development and operation of the Connected Corridor, initiated by the Traffic Operations and Safety (TOPS) Laboratory in the UW-Madison College of Engineering, has unequivocally demonstrated the great potential of Connected and Automated Vehicle (CAV) technologies for safety, mobility, environmental sustainability, and societal benefits. This paper introduces an enhanced data pipeline system within the Connected Vehicle (CV) corridor project, which serves as a foundational step towards the realization of a digital twin system. Our study delves into the seamless integration and operation of Roadside Units (RSUs), Onboard Units (OBUs), and CAVs within the context of the transportation infrastructure in the CV corridor located in Madison, Wisconsin. The primary objective of the enhanced data pipeline system is to effectively assimilate real-time Cellular Vehicle-to-Everything (C-V2X) data generated from the connected vehicle corridor. By leveraging the concept of a digital twin, the data collected in the physical world can be accurately simulated in high-fidelity virtual space, enabling real-time monitoring, comprehensive analysis, and behavior simulation. The successful implementation of a digital twin prototype has exhibited remarkable potential in facilitating a more seamless integration of CAVs into the transportation network. Moreover, results from this study lay a solid foundation for the future development and advancement of a full-fledged digital twin system, which holds the promise of revolutionizing transportation operations and services.

Learning Objectives:

Attendees can expect to learn the following from this session:
  • Introduced an enhanced data pipeline system for the Connected Vehicle corridor, advancing towards a digital twin system realization.
  • Achieved seamless integration of RSUs, OBUs, and CAVs in transportation infrastructure.
  • Demonstrated a digital twin prototype's potential to revolutionize transportation operations and services.
  • Successfully assimilated real-time C-V2X data, enabling accurate high-fidelity simulations of the physical transportation world.
  • Established a foundation for future development of a comprehensive digital twin system in transportation.