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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Transportation Engineering, Part A: Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
