A multiagent system for combining green wave and adaptive control in a dynamic way

Batista, Antônio de Abreu; Coutinho, Luciano Galvão

doi:10.1109/itsc.2013.6728592

Cited by 5 publications

(2 citation statements)

References 8 publications

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“…The disorder can be also considered as social disorder generated by traffic congestion such as delays, economic losses and environmental pollution in urban life. Using multiagent systems such disorders are investigated for example in References [ 31 , 32 , 33 ].…”

Section: Related Workmentioning

confidence: 99%

Modeling the Disorder of Closed System by Multi-Agent Based Simulation

Małecki

Gwizdałła

Bieńko

2019

Entropy

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Mess (disorder)—there are many different meanings related to this problem. The explicit majority comes from the area of philosophical, social and medical sciences. In our paper, we try to present the engineering aspect of the concept of disorder. We propose a mathematical model which describes the effects and consequences concerning the process of making the mess. We use Multi-Agent Modeling, where there are several independent agents with decision-making ability. Each agent has the ability to communicate and perceive for achieving its own aim. We use square grid n × n with objects which can be moved by agents to another places. The degree of disorder of the system is examined by the value of entropy. Using computer simulation, we investigate the time needed to find the desired thing in an environment in which agents (in real life, people) co-exist and they have different tendencies to tidiness. The cost of mess is counted as the number of attempts to access the object in the analyzed system and the time needed to locate the object.

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Section: Related Workmentioning

confidence: 99%

Modeling the Disorder of Closed System by Multi-Agent Based Simulation

Małecki

Gwizdałła

Bieńko

2019

Entropy

View full text Add to dashboard Cite

show abstract

“…Regional traffic control methods have been the object of many recent studies. Regional traffic control methods can be classified into green‐wave optimisation [15–17] and performance‐indicator optimisation [18–23]. The major goal of green‐wave optimisation is to reduce the number of stops and the stopping time of vehicles and improve the efficiency of road networks.…”

Section: Introductionmentioning

confidence: 99%