Paper Info
Title
Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems
Abstract
An alternative approach for real-time network-wide traffic control in cities that has recently gained a lot of interest is perimeter flow control. The focus of the current work is to study two aspects that are not covered in the perimeter control literature, which are: (a) integration of appropriate external demand information that has been considered system disturbance in the derivation of feedback control laws in previous works, and (b) mathematical formulation of the original nonlinear problem in a linear-parameter-varying (LPV) form, so that optimal control can be applied in a (rolling horizon) model predictive concept. This work presents the mathematical analysis of the optimal control problem, as well as the approximations and simplifications that are assumed in order to derive the formulation of a linear optimization problem. The developed scheme is applied to microsimulation in order to better investigate its applicability to real life conditions. The simulation experiments demonstrate the effectiveness of the scheme compared to fixed-time control as all the performance indicators are improved significantly.
Year
DOI
Venue
2019
10.1109/CDC40024.2019.9029502
2019 IEEE 58th Conference on Decision and Control (CDC)
Keywords
DocType
ISSN
mathematical analysis,optimal control problem,linear optimization problem,fixed-time control,linear-parameter-varying approximation,nonlinear dynamics,model predictive flow control,urban multiregion systems,real-time network-wide traffic control,perimeter flow control,external demand information,system disturbance,feedback control laws,mathematical formulation,rolling horizon,microsimulation,performance indicators
Conference
0743-1546
ISBN
Citations 
PageRank 
978-1-7281-1399-9
0
0.34
References 
Authors
3
3
Name
Order
Citations
PageRank
Anastasios Kouvelas1365.56
Mohammadreza Saeedmanesh200.34
Nikolas Geroliminis312316.02