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

Qichao Wang, Joseph Severino, Harry Sorensen, Jibonananda Sanyal, Juliette Ugirumurera, Chieh (Ross) Wang, Andy Berres, Wesley Jones, Airton Kohls, Rajesh Paleti Ravi VenkataDurga

Research output: Contribution to conferencePaperpeer-review

2 Scopus Citations

Abstract

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.

Original languageAmerican English
Pages3564-3570
Number of pages7
DOIs
StatePublished - 2022
Event25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 - Macau, China
Duration: 8 Oct 202212 Oct 2022

Conference

Conference25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Country/TerritoryChina
CityMacau
Period8/10/2212/10/22

Bibliographical note

See NREL/CP-2C00-83322 for preprint

NREL Publication Number

  • NREL/CP-2C00-85004

Keywords

  • deployment
  • MPC
  • traffic signal control
  • VPL

Fingerprint

Dive into the research topics of 'Deploying a Model Predictive Traffic Signal Control Algorithm - A Field Deployment Experiment Case Study'. Together they form a unique fingerprint.

Cite this