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

Conference ·

This paper provides a system architecture for an infrastructure-based cooperative perception fusion engine for next-generation traffic control. This engine will provide a complete state-space digital representation with measurable accuracy to support a wide-range of applications. The architecture includes inputs, functional flow, data standardization recommendations, outputs, and supported applications. The cooperative perception engine addresses critical needs with respect to accelerating the benefits of automation through intelligent roadway infrastructure, which complements and accelerates connected and automated vehicle (CAV) technology. The cooperative perception acquires and fuses information from sensors (radar, LiDAR, and cameras) and CAVs to perceive roadway traffic states of moving objects, creates a complete 3D digital representation of that state-space, and communicates it to downstream application such as intelligent signal control, safety and energy applications, and cooperate driving applications. The intelligent roadway infrastructure approach, as opposed to a vehicle-centric approach, is more scalable because it can be deployed to the roughly 300,000 signalized intersections more readily than over 300 million vehicles in the United States, and accrues early-stage benefits equitable to all roadway users addressing safety, equity, fuel efficiency, and greenhouse gas reduction.

Research Organization:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Sponsoring Organization:
USDOE National Renewable Energy Laboratory (NREL), Laboratory Directed Research and Development (LDRD) Program
DOE Contract Number:
AC36-08GO28308
OSTI ID:
1898025
Report Number(s):
NREL/CP-5400-84534; MainId:85307; UUID:90784eee-5cba-4228-80ef-71714dd7be58; MainAdminID:67982
Resource Relation:
Conference: Presented at the International Conference on Transportation and Development 2022, 31 May - 3 June 2022, Seattle, Washington; Related Information: 81978
Country of Publication:
United States
Language:
English

References (10)

Tracking in a cluttered environment with probabilistic data association journal September 1975
Infrastructure-supported Perception and Track-level Fusion using Edge Computing conference June 2019
Microscopic Traffic Simulation using SUMO conference November 2018
Survey of maneuvering targettracking . part I: dynamic models journal October 2003
A Kalman Filter based information fusion method for traffic speed estimation conference December 2009
Infrastructure data fusion for validation and future enhancements of autonomous vehicles' perception on Austrian motorways conference November 2019
Real-Time Freeway Traffic State Estimation Based on Extended Kalman Filter: A Case Study journal May 2007
Object Matching for Inter-Vehicle Communication Systems—An IMM-Based Track Association Approach With Sequential Multiple Hypothesis Test journal December 2017
Track-to-track association for object matching in an inter-vehicle communication system conference September 2015
Approximation Framework of Embodied Energy of Safety: Insights and Analysis journal August 2020