Intersection Dilemma-Zone Protection as a Dynamic Signal-Optimization Problem with Model Predictive Control
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 145, Issue 11
Abstract
This paper develops a signal-optimization model for dynamic intersection control and dilemma-zone protection, where the decisions of signal phase switching are optimized to minimize the system transition cost weighted by the number of vehicles trapped in the dilemma zone and the delay incurred by queued vehicles at the intersection. The proposed model is solved with a model predictive control framework, and traffic dynamics are formulated with a cell transmission model, which offers the advantage of taking real-time traffic dynamics as the control input. Case study results from comparing the proposed model with actuated and fixed-time signal control strategies demonstrate the validity and advantages of the proposed methodology.
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Acknowledgments
The support from the National Natural Science Foundation of China (Grant Nos. 71431003 and 71601110) is gratefully acknowledged, and the fourth author’s contribution to this research was also partially supported by Lloyd’s Register Foundation, which helps to protect life and property by supporting engineering-related education, public engagement, and the application of research. Any opinions, findings, and conclusions or recommendations expressed in this paper are those of the authors and do not necessarily reflect the views of the aforementioned funding bodies.
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Published In
Journal of Transportation Engineering, Part A: Systems
Volume 145 • Issue 11 • November 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Apr 14, 2018
Accepted: Jan 29, 2019
Published online: Sep 6, 2019
Published in print: Nov 1, 2019
Discussion open until: Feb 6, 2020
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