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Deploying a Model Predictive Traffic Signal Control Algorithm - A Field Deployment Experiment Case Study

Conference ·
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  1. National Renewable Energy Laboratory (NREL)
  2. ORNL
  3. University of Tennessee, Knoxville (UTK)
  4. Amazon.com, Inc.
+ Show Author Affiliations
This paper presents a field deployment experiment of a real-time traffic signal control algorithm. We implemented the model predictive control (MPC) algorithm based on the virtual phase-link (VPL) model. We selected the deployment locations and times based on an energy saving potential concept. We developed a set of experiment systems, which included sensing, processing, and actuating components, to enable field deployment. We tested the systems rigorously before the experiment days. We reported the key procedures on the experiment days, including the steps taken, the real-time control procedure, and the monitoring of the experiment. We evaluated the impact of the deployment by looking at the changes in delay and energy consumption.
Research Organization:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Organization:
USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE)
DOE Contract Number:
AC05-00OR22725
OSTI ID:
1898980
Country of Publication:
United States
Language:
English

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