Concept of Operations of Next-Generation Traffic Control Utilizing Infrastructure-Based Cooperative Perception: Preprint

Stanley Young, Erik Bensen, Lei Zhu, Christopher Day, J. Sam Lott, Rimple Sandhu, Charles Tripp, Peter Graf

Research output: Contribution to conferencePaper


This paper puts forth a system architecture for an infrastructure-based cooperative perception (CP) fusion engine, to provide a complete state-space digital representation, with measurable accuracy, to support a wide-range of applications. The architecture includes the inputs, functional flow, data standardization recommendations, outputs and supported applications. The CP engine addresses critical needs with respect to accelerating the benefits of automation through intelligent roadway infrastructure (IRI), that complements and accelerates connected and automated vehicle (CAV) technology. that the CP acquires and fuses information from sensors (radar, LiDAR, and cameras), and CAVs to intelligently perceive roadway traffic states of all moving objects, create a complete three-dimensional digital representation of that state-space, and communicate it to downstream application such as intelligent signal control, safety and energy applications, and cooperate driving applications for CAVs as examples. The IRI approach, as opposed to a vehicle centric approach, is found to be more scalable in that it can deployed to the roughly 300,000 signalized intersections more readily than the over 300 million vehicles in the US, and accrues early-stage benefits equitable to all roadway users addressing safety, equity, fuel efficiency, and GHG reduction.
Original languageAmerican English
Number of pages15
StatePublished - 2022
EventASCE/ICTD 2022 - Seattle, WA
Duration: 31 May 20223 Jun 2022


ConferenceASCE/ICTD 2022
CitySeattle, WA

Bibliographical note

See NREL/CP-5400-84534 for paper as published in proceedings

NREL Publication Number

  • NREL/CP-5400-81978


  • data fusion
  • infrastructure to infrastructure
  • intelligent roadway infrastructure
  • track fusion
  • traffic control
  • vehicle to infrastructure


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