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

doi:10.1109/ITSC55140.2022.9921839

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 conference › Paper › peer-review

4 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 language	American English
Pages	3564-3570
Number of pages	7
DOIs	https://doi.org/10.1109/ITSC55140.2022.9921839 https://doi.org/10.1109/ITSC55140.2022.9921839
State	Published - 2022
Event	25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 - Macau, China Duration: 8 Oct 2022 → 12 Oct 2022

Conference

Conference	25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022
Country/Territory	China
City	Macau
Period	8/10/22 → 12/10/22

Bibliographical note

See NREL/CP-2C00-83322 for preprint

NREL Publication Number

NREL/CP-2C00-85004

Keywords

deployment
MPC
traffic signal control
VPL

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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Wang, Q., Severino, J., Sorensen, H., Sanyal, J., Ugirumurera, J., Wang, C., Berres, A., Jones, W., Kohls, A., & VenkataDurga, R. P. R. (2022). Deploying a Model Predictive Traffic Signal Control Algorithm - A Field Deployment Experiment Case Study. 3564-3570. Paper presented at 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China. https://doi.org/10.1109/ITSC55140.2022.9921839, https://doi.org/10.1109/ITSC55140.2022.9921839

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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.",

keywords = "deployment, MPC, traffic signal control, VPL",

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

note = "See NREL/CP-2C00-83322 for preprint; 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022 ; Conference date: 08-10-2022 Through 12-10-2022",

year = "2022",

doi = "10.1109/ITSC55140.2022.9921839",

language = "American English",

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Wang, Q , Severino, J , Sorensen, H , Sanyal, J , Ugirumurera, J, Wang, C, Berres, A , Jones, W, Kohls, A & VenkataDurga, RPR 2022, 'Deploying a Model Predictive Traffic Signal Control Algorithm - A Field Deployment Experiment Case Study', Paper presented at 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022, Macau, China, 8/10/22 - 12/10/22 pp. 3564-3570. https://doi.org/10.1109/ITSC55140.2022.9921839, https://doi.org/10.1109/ITSC55140.2022.9921839

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AU - Wang, Qichao

AU - Severino, Joseph

AU - Sorensen, Harry

AU - Sanyal, Jibonananda

AU - Ugirumurera, Juliette

AU - Wang, Chieh (Ross)

AU - Berres, Andy

AU - Jones, Wesley

AU - Kohls, Airton

AU - VenkataDurga, Rajesh Paleti Ravi

N1 - See NREL/CP-2C00-83322 for preprint

PY - 2022

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N2 - 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.

AB - 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.

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KW - MPC

KW - traffic signal control

KW - VPL

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M3 - Paper

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T2 - 25th IEEE International Conference on Intelligent Transportation Systems, ITSC 2022

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ER -

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

Abstract

Conference

Bibliographical note

NREL Publication Number

Keywords

UN SDGs

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