Abstract
The arrangement of the metro train scheduling problem aims to maintain headway regularity and the number of passengers; therefore, it does not exceed capacity. In this study, the metro train traffic model was developed without referring to the nominal schedule, then the running time model and the dwell time model were added to the metro train traffic model, and considering changes in the number of passengers. A model predictive control is applied to control the metro train scheduling problems. The control adjusts the dwell time and the running time of the train. The optimisation problem in this study is a quadratic programming problem consisting of a quadratic cost function and linear constraints related to the train scheduling problems. Based on the simulation results, the headway deviation and the deviation of the number of train passengers in the metro train scheduling problem can be minimised using the model predictive control.
Sign-in/Register to access full text options 
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: International Journal of Vehicle Information and Communication 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.
