Agent based simulation applied to the design of control systems for emergency vehicles access

Pătraşcu, Monica; Ion, Andreea; Constantinescu, V.

doi:10.1109/itst.2015.7377399

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…There is no entity inside the system with an overview of the whole system; at most an observer exists, external to the system, to recognize patterns. The decentralized approach is suitable for systems that can be decomposed, are geographically distributed, or exchange large quantities of data [204]. The design and behavior of decentralized systems are bottom-up processes.…”

Section: Emergencementioning

confidence: 99%

“…The nestedness of eSCAPE comes from the self-organization of agents (representing controllers, actuators, sensors, and nuclei with specialized communication units) in minimal cells (i.e., local control loops) and, if needed, in extended cells (in which the roles for acting and sensing might be taken by other cells). The architecture supports various mechanisms, such as negotiation [245] and decentralized control [204].…”

Section: Emergence and Consensus Through Decentralized Control In Com...mentioning

confidence: 99%

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Engineering Emergence: A Survey on Control in the World of Complex Networks

Berceanu

Pătraşcu

2022

Automation

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Complex networks make an enticing research topic that has been increasingly attracting researchers from control systems and various other domains over the last two decades. The aim of this paper was to survey the interest in control related to complex networks research over time since 2000 and to identify recent trends that may generate new research directions. The survey was performed for Web of Science, Scopus, and IEEEXplore publications related to complex networks. Based on our findings, we raised several questions and highlighted ongoing interests in the control of complex networks.

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Section: Emergencementioning

confidence: 99%

Section: Emergence and Consensus Through Decentralized Control In Com...mentioning

confidence: 99%

Engineering Emergence: A Survey on Control in the World of Complex Networks

Berceanu

Pătraşcu

2022

Automation

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“…In order to test the proposed system, a simulation model needs to be designed that incorporated the complexity of urban traffic systems. In this respect, the most recent development in complex systems modelling belong to the field of Agent Based Modelling and Simulation (Patrascu et al 2015), which provides engineers with Agent Based Simulation Models (ABSM) that are able to describe the behaviours of heterogeneous traffic participants, as well as their interactions and interdependencies.…”

Section: Case Studymentioning

confidence: 99%

“…NetLogo has been sucessfully used for proving and testing complex systems theorems and hypotheses. An in depth discussion on the advantages and disadvantages of using NetLogo for the simulation of complex control systems can be found in our previous work (Patrascu et al 2015).…”

Section: Absm Descriptionmentioning

confidence: 99%

“…In the case of an emergency vehicle, the occupancy is modified according to the priority of the vehicle. For more information regarding these types of control systems and their simulation using ABSM, please consult our previous work (Patrascu et al 2015). As the simulation runs, at each time step, new vehicles are inserted in the simulation environment.…”

Section: Absm Descriptionmentioning

confidence: 99%

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Controlling Emergency Vehicles in Urban Traffic with Genetic Algorithms

Pătraşcu¹,

Constantinescu²,

Ion³

2018

Linköping Electronic Conference Proceedings

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Emergency officers could often benefit from a route planning system that is based on constant traffic monitoring and complex decision making, seeking to give victims another breath of hope by assisting emergency units with reaching them on time. The main challenge is providing responses in a continuously evolving environment within a prescribed time frame, while using limited resources and information that is often incomplete or uncertain. This paper presents a route control concept for emergency vehicles through urban traffic. The proposed genetic controller is designed to dynamically reassess the route while the vehicle passes through the road network, continuously generating new routes based on current traffic. The algorithm is tested in an agent based simulation model that includes both traffic participants and a distributed traffic control system.

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Route encoding in evolutionary control systems for emergency vehicles

Constantinescu

Pătraşcu

2017

2017 15th International Conference on ITS Telecommunications (ITST)

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Agent based simulation applied to the design of control systems for emergency vehicles access

Cited by 3 publications

References 9 publications

Engineering Emergence: A Survey on Control in the World of Complex Networks

Engineering Emergence: A Survey on Control in the World of Complex Networks

Controlling Emergency Vehicles in Urban Traffic with Genetic Algorithms

Route encoding in evolutionary control systems for emergency vehicles

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