Document Type
Article
Publication Date
5-16-2023
Department
Department of Mechanical Engineering-Engineering Mechanics; Department of Electrical and Computer Engineering
Abstract
Traffic intersections throughout the United States combine fixed, semi-actuated, and fully actuated intersections. In the case of the semi-actuated and actuated intersections, uncertainties are considered in phase duration. These uncertainties are due to car waiting queues and pedestrian crossing. Intelligent transportation systems deployed in traffic infrastructure can communicate Signal and Phase Timing messages (SPaT) to vehicles approaching intersections. In the connected and automated vehicle ecosystem, the fuel savings potential has been explored. Prior studies have predominantly focused on fixed time control for the driver. However, in the case of actuated signals, there is a different and significant challenge due to the randomness caused by uncertainties. We have developed a predictive control using the SPaT information communicated from the actuated traffic intersections. The developed MPC-based algorithm was validated using model-based design platforms such as AMBER®, Autonomie®, MATLAB®, and SIMULINK®. It was observed that the proposed algorithm can save energy in a single phase, in multiple phase scenarios, and in compelled stopping at stop signs when employed considering communications.
Publication Title
Future Transportation
Recommended Citation
Bhat, P.,
&
Chen, B.
(2023).
Real-Time Suitable Predictive Control Using SPaT Information from Automated Traffic Lights.
Future Transportation,
3(2), 643-662.
http://doi.org/10.3390/futuretransp3020038
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/269
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© 2023 by the authors. Licensee MDPI, Basel, Switzerland. Publisher’s version of record: https://doi.org/10.3390/futuretransp3020038