scholarly journals Scaling, Modeling and Traffic Control of a Real Railway Network using Max-plus Algebra and Model Predictive Control

2020 ◽  
Vol 14 (3) ◽  
pp. 103-116
Author(s):  
Bijan Moaveni ◽  
Mehrshad Shafaati ◽  
◽  
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Traffic Control ◽  
Railway Network

Model Predictive Control of Flight Arrival Interval

2012 ◽  
Vol 503-504 ◽  
pp. 1375-1380
Author(s):  
Da Peng Yang ◽  
Ping Bo Sun ◽  
Ke Qiang Hua
Keyword(s):  
Model Predictive Control ◽  
System Design ◽  
Predictive Control ◽  
Traffic Control ◽  
Simulation System ◽  
Arrival Process ◽  
Design Parameters ◽  
Dynamic Matrix ◽  
Parameters Selection ◽  
Wide Range

In order to achieve the automation of Air Traffic Control (ATC), use system to identify the controlled model of flights arrival process which has been already built, using Model Predictive Control (MPC) of the dynamic matrix contro1 (DMC) to control the ATC process. According to DMC algorithm and the features of ATC, the design parameters of this system can be determined by a lot of simulations. It proves that the system design and parameters selection make the system has the required performance and the robustness even if the parameters be changed in a wide range. The experiment on the ATC Simulation System proves that the MPC method is available, conclusion of the study provides a new idea and method for the engineering implementation of the automation of flights arrival process control and some improvement of airspace utilization.

Optimal Urban Traffic Model Predictive Control for NEMA Standards

2019 ◽  
Vol 2673 (7) ◽  
pp. 413-424 ◽  
Author(s):  
Qichao Wang ◽  
Montasir Abbas
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Traffic Control ◽  
Large Scale ◽  
Urban Traffic ◽  
Optimal Feedback Control ◽  
Signal Timing ◽  
Microscopic Simulation ◽  
Linear Quadratic ◽  
Urban Traffic Control

Green splits are one of the three important types of control parameter in a modern traffic controller. Few studies have been done on coordinated optimal splits control under the National Electrical Manufacturing Association (NEMA) Standards. We proposed a virtual phase-link concept and used this concept to model urban traffic control under the NEMA Standards. We framed the coordinated optimal splits control problem as a linear quadratic programming problem and implemented the optimal feedback control with model predictive control. The outputs of the solution are timing plans that can be used in NEMA controllers. We conducted microscopic simulation studies to compare timing plans generated from the proposed method with those generated from a state-of-the-practice signal timing software. It was found that the proposed method significantly outperformed the benchmarking method under semi-actuated control settings. The evaluation of the optimization algorithm shows that the optimization process can be performed in a real-time manner, indicating that the proposed method can be implemented for large-scale urban traffic optimal splits control.

Non-Linear Model Predictive Control Based on Game Theory for Traffic Control on Highways

2012 ◽  
Vol 45 (17) ◽  
pp. 436-441 ◽  
Author(s):  
Christian Portilla ◽  
Felipe Valencia ◽  
José David López ◽  
Jairo Espinosa ◽  
Alfredo Núñez ◽  
...  
Keyword(s):  
Game Theory ◽  
Model Predictive Control ◽  
Linear Model ◽  
Predictive Control ◽  
Traffic Control ◽  
Non Linear
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