Game theoretic approach on Real‐time decision making for IoT‐based traffic light control

Bui, Khac-Hoai Nam; Jung, Jai E.; Camacho, David

doi:10.1002/cpe.4077

Cited by 51 publications

(34 citation statements)

References 35 publications

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“…It targets to gather data traffic flow at intersection in real‐time and optimizes traffic flow by real‐time decision making of controller on green, red light time durations on the basis of game theory. It has not explored techniques to handle different vehicles facing emergency with different circumstances . A decision‐making solution as a model‐driven for service‐oriented architecture, SOAs, is proposed that allows the integration of complex event processing (CEP) with SOA 2.0.…”

Section: Related Workmentioning

confidence: 99%

“…It has not explored techniques to handle different vehicles facing emergency with different circumstances. 12 A decision-making solution as a model-driven for service-oriented architecture, SOAs, is proposed that allows the integration of complex event processing (CEP) with SOA 2.0. It faces limitation for recommending event patterns and its dynamic generation in a semi-automatic way.…”

Section: Related Workmentioning

confidence: 99%

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A middleware approach for reliable resource selection on Internet‐of‐Things

Bharti

Saxena

Kumar

2019

Int J Communication

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Summary Decision making plays a vital role in the selection of resources so that they actively participate for communication and computation on the Internet‐of‐Things platform. For the same, they require the elimination of the challenges related to knowledge representation, discovery, trust, and security due to continuously changing mobility patterns, heterogeneity, interoperability, and scalability on the network. To address the challenges, a novel three‐layered approach, namely, middleware approach for reliable resource selection on Internet‐of‐Things (MARRS‐IoT), is proposed. It performs a search through neighbor discovery algorithm and evaluates trust score of the discovered resources, both locally and globally using fuzzy‐decision algorithm and performs efficient communication among resources via hybrid M‐gear protocol. The approach is simulated and compared against algorithms, namely, particle swarm optimization, ants colony optimization, and binary genetic to evaluate its performance. The obtained results support the efficacy of the MARRS‐IoT with respect to throughput and execution time.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A middleware approach for reliable resource selection on Internet‐of‐Things

Bharti

Saxena

Kumar

2019

Int J Communication

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“…Thereby, there have been many studies which have focused on individualized intelligent decision-making and automated negotiation among agents (connected objects) with which to provide smart applications [16,17,18,19]. Normally, the challenge of automated negotiation is to design decision-making approaches for allocating resources (negotiation issue) by negotiating (negotiation process) among intelligent agents following a rule-based system (negotiation protocol) of the smart application.…”

Section: Background and Literature Reviewmentioning

confidence: 99%

Consensual Negotiation-Based Decision Making for Connected Appliances in Smart Home Management Systems

Bui

Jung

Camacho

2018

Sensors

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Recently, the concept of Internet of Agent has been introduced as a potential technology that pushes intelligence, data processing, analytics and communication capabilities down to the point where the data originates. In this paper, we introduce a novel approach for a Decentralized Home Energy Management System by applying the Internet of Agent concept. In particular, we first present an Internet of Agent framework in terms of sensing, communicating and collaborating among connected appliances. Then, the decentralized management based on consensual negotiation mechanism with several intelligent techniques are proposed for dynamic scheduling connected appliance. Specifically, by applying the Internet of Agent framework, connected appliances are regarded as smart agents that are able to make individual decisions by reaching agreement over the exchange of operations on competitive resources. Furthermore, in this study, the load balancing problem in which load shifting is able to reduce the electricity demand during peak hours is taken into account in order to emphasize the effectiveness of our approach. For the experiment, we develop a simulation of smart home environment to evaluate our approach using NetLogo, a tool which provides real-time analysis in the modeling and simulation domain of complex systems.

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“…Existen varias simulaciones desarrolladas con la plataforma NetLogo de sistemas dinámicos y adaptativos de control de tráfico basados en agentes, para una o varias intersecciones. Para el caso de una intersección, es viable mencionar a [18] y [19]. En el primero de ellos, Bui et al [18] reformulan los modelos de competencia económica de Cournot y Stackelberg para el desarrollo del algoritmo inteligente del semáforo, para vehículos con y sin prioridad.…”

Section: Estado De Arteunclassified

Modelado y Simulación de una Intersección de Calles en un Contexto Multi-Agente

Nacht¹,

Falco²,

Robiolo³

2018

Elek.

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Losses of time due to congestion and traffic jams are current events in cities due to a non-optimal configuration of the traffic lights. Various sciences and specialties have tried to understand the phenomenon and identify the causes in order to obtain an appropriate solution. The present work introduces the extension of a system oriented to agents whose purpose is to reduce the waiting time of the drivers in an intersection of streets; modelling now vehicles (cars and taxis), pedestrians and an intelligent traffic light that evaluates the weights of the flows in two directions (X and Y), turn left and right. For which, the validation was carried out in six possible scenarios, defined by means of the variation of the flow of vehicles and pedestrians, of a turning frequency in 20 and 80 and the application of different adjustment factors for intelligent traffic lights. The simulation environment was implemented in NetLogo, which allowed comparing the impact of the use of the intelligent traffic light versus a fixed-time traffic light. Finally, we will present the conclusions and future work Keywords: multi-agent systems; agent-oriented programming; traffic; NetLogo. Resumen-Las pérdidas de tiempo por congestión y embotellamientos de tráfico son sucesos corrientes en las ciudades por una configuración no óptima de los semáforos.Diversas ciencias y especialidades han intentado comprender el fenómeno e identificar las causas en pos de obtener una solución apropiada. El presente trabajo introduce la extensión de un sistema orientado a agentes cuyo fin es reducir el tiempo de espera de los conductores en una intersección de calles; modelando ahora vehículos (autos y taxis), peatones y un semáforo inteligente que evalúa los pesos de los flujos en dos direcciones (X e Y), giro a la izquierda y derecha. Para lo cual, la validación fue llevada a cabo en seis escenarios posibles, definidos por medio de la variación del flujo de vehículos y peatones, de una frecuencia de giro en 20 y 80 y la aplicación de diferentes factores de ajustes para los semáforos inteligentes. El entorno de simulación se implementó en NetLogo, lo que permitió comparar el impacto del uso del semáforo inteligente versus un semáforo de tiempos fijos. Finalmente, presentaremos las conclusiones y el trabajo futuro.Palabras clave: sistemas multi-agentes; programación orientada a agentes; tráfico; NetLogo. I. INTRODUCCIONLas rutas y calles hacen posible la circulación y el recorrido de las ciudades, pero desafortunadamente el tráfico y particularmente la congestión del mismo conlleva a que los conductores sufran pérdidas de tiempo para llegar de un lugar a otro, por el tiempo que tardan en transitar sobre los caminos, sumado a los tiempos de espera por semáforos. Diversas disciplinas han estudiado dicha problemática en pos de comprender el fenómeno [1], [2], [3], y lograr una solución viable [4], [5], [6]. Algunos autores han encontrado que los conductores atascados en condiciones de alta congestión presentan niveles elevados de estrés [7], lo que puede lle...

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Game theoretic approach on Real‐time decision making for IoT‐based traffic light control

Cited by 51 publications

References 35 publications

A middleware approach for reliable resource selection on Internet‐of‐Things

A middleware approach for reliable resource selection on Internet‐of‐Things

Consensual Negotiation-Based Decision Making for Connected Appliances in Smart Home Management Systems

Modelado y Simulación de una Intersección de Calles en un Contexto Multi-Agente

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