Deploying a Model Predictive Traffic Signal Control Algorithm - A Field Deployment Experiment Case Study
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 Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE)
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1898980
- Resource Relation:
- Conference: 2022 IEEE International Conference on Intelligent Transportation Systems (ITSC) - Macau, , China - 10/8/2022 12:00:00 PM-10/12/2022 12:00:00 PM
- Country of Publication:
- United States
- Language:
- English
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