scholarly journals A learning technique for deploying self-tuning traffic control systems

2011 ◽  
Author(s):  
Anastasios Kouvelas ◽  
Markos Papageorgiou ◽  
Elias B. Kosmatopoulos ◽  
Ioannis Papamichail
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Learning Technique ◽  
Self Tuning

An Autonomic Methodology for Embedding Self-tuning Competence in Online Traffic Control Systems

2016 ◽  
pp. 215-232
Author(s):  
Anastasios Kouvelas ◽  
Diamantis Manolis ◽  
Elias Kosmatopoulos ◽  
Ioannis Papamichail ◽  
Markos Papageorgiou
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Self Tuning ◽  
Online Traffic

Modeling and Designing of Urban Traffic Control Systems by Statecharts

2011 ◽  
Vol 308-310 ◽  
pp. 1582-1585
Author(s):  
Yi Sheng Huang ◽  
Tso Hsien Liao
Keyword(s):  
Boolean Function ◽  
Control Systems ◽  
Dynamic Model ◽  
Control Strategy ◽  
Traffic Control ◽  
Propositional Logic ◽  
Urban Traffic ◽  
Hierarchical Tree ◽  
Tree Diagram ◽  
Urban Traffic Control

Statechart has been utilized as a visual formalism for the modeling of complex systems. It illuminates the features on describing properties of causality, concurrency and synchronization. The reachability structure is used to represented dynamic model by a Boolean function. In this paper, we try to describe State invariant method and equation function for hierarchical tree diagram. Finally, we used them to analyze the urban traffic control systems which are modeled by using Statecharts. Their formalism provides a concept of propositional logic for presenting control strategy.

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