scholarly journals A Model-Predictive Urban Traffic Control Approach with a Modified Flow Model and Endpoint Penalties**This research has been supported by COST ARTS and by the NWO-NFSC project “Multi-level predictive traffic control for large-scale urban networks” (629.001.011), which is partly financed by the Netherlands Organization for Scientific Research (NWO).

2016 ◽  
Vol 49 (3) ◽  
pp. 147-152 ◽  
Author(s):  
Anahita Jamshidnejad ◽  
Ioannis Papamichail ◽  
Markos Papageorgiou ◽  
Bart De Schutter
Keyword(s):  
The Netherlands ◽  
Traffic Control ◽  
Large Scale ◽  
Flow Model ◽  
Scientific Research ◽  
Urban Traffic ◽  
Urban Networks ◽  
Control Approach ◽  
Multi Level ◽  
Urban Traffic Control

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.

Urban traffic control in the city of Medelín: A PID control approach

2015 ◽  
Author(s):  
Laura Norena ◽  
Anna Sarrazola ◽  
Andres Acosta ◽  
Alejandro Marquez ◽  
Jorge E. Espinosa ◽  
...  
Keyword(s):  
Pid Control ◽  
Traffic Control ◽  
Urban Traffic ◽  
Control Approach ◽  
Urban Traffic Control ◽  
The City

On‐line modelling and planning for urban traffic control

2021 ◽  
Author(s):  
Alberto Pozanco ◽  
Susana Fernández ◽  
Daniel Borrajo
Keyword(s):  
Traffic Control ◽  
Urban Traffic ◽  
On Line ◽  
Urban Traffic Control

A multimodal model for an urban traffic control policy

2008 ◽  
Vol 41 (2) ◽  
pp. 13070-13078 ◽  
Author(s):  
Sofiane KACHROUDI ◽  
Neila BHOURI
Keyword(s):  
Traffic Control ◽  
Control Policy ◽  
Urban Traffic ◽  
Urban Traffic Control
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