Performance evaluation of smart cooperative traffic lights in VANETs

Rodrigues, Laécio; Neto, Firmino; Gonçalves, Glauber Dias; Soares, André; Silva, Francisco Airton

doi:10.1504/ijcse.2021.115650

Cited by 4 publications

(4 citation statements)

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“…Rodrigues et al [31] presented a performance evaluation of a cooperative smart traffic light using a stochastic Petri net (SPN) model. The proposed model enabled the calculation of metrics such as mean response time, resource utilization, and the number of discarded requests.…”

Section: Related Workmentioning

confidence: 99%

“…The authors propose and analyze a "local" synchronization approach, wherein computation for a specific region is performed based on information received from a subset of neighboring regions. Rodrigues et al [31] present a performance evaluation of a cooperative smart traffic light using an SPN model. The proposed model is capable of calculating the mean response time, resource utilization, and the number of discarded requests.…”

Section: Related Workmentioning

confidence: 99%

“…In this study, Gonçalves et al [17] developed stochastic Petri net models for a surveillance monitoring system, analyzing several parameters to achieve the highest level of dependability. Furthermore, only four papers have investigated dependability in the context of vehicular ad-hoc networks (VANETs) [29,13,31,5]. For instance, Qi et al [29] utilized Time Petri nets (TPN) and Synchronized Petri nets (SPNs) to design a traffic control system (ITCS) for intersections, addressing accidents and providing emergency response to prevent further accidents.…”

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confidence: 99%

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Quantifying the impact of resource redundancy on smart city system dependability: a model-driven approach

Silva,

Fé,

Silva

et al. 2024

Cluster Comput

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Effective quality management plays a pivotal role in ensuring the smooth operation of smart city systems, which have significant implications for safety, accessibility, affordability, and maintainability. Dependability of autonomous systems is of utmost importance, as achieving satisfactory levels of availability and reliability poses considerable challenges. Smart cities are characterized by interconnected sub-architectures, encompassing vehicle monitoring, sidewalk monitoring, and building monitoring, all of which need to function efficiently. Analytical models such as Petri nets, Markov chains, and fault trees are well-suited for evaluating complex scenarios in the context of smart cities. This paper presents analytical models that utilize fault tree and Markov chain techniques to assess the availability and reliability of smart city monitoring systems. The model is divided into shared and non-shared components, with non-shared components being specific to certain contextual applications, while shared components, such as data processing and electrical power, are essential for all smart city monitoring and management systems. The study underscores the ease with which the fault tree model can enhance availability by modifying failure requirements and resources. Case studies provide concrete examples of how availability improved from 95.3% to 99.8% by varying a configuration known as "KooN" in multiple components. This paper takes a comprehensive approach to evaluating the dependability of smart city architectures and contributes advancements, such as hierarchical modeling, sequential sensitivity analysis, and the "KooN" analytic method. These contributions expand the Francisco Airton Silva (F.A.S.), Iure Fé (I.F.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

mentioning

confidence: 99%

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Quantifying the impact of resource redundancy on smart city system dependability: a model-driven approach

Silva,

Fé,

Silva

et al. 2024

Cluster Comput

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“…These transitions can incorporate a guard condition, and the user can assign different activation priorities between multiple immediate transitions. SPNs also allow the adoption of simulation techniques to obtain system metrics as an alternative to generating a CTMC [11].…”

Section: Stochastic Petri Netsmentioning

confidence: 99%

Forest Fire Monitoring System Supported by Unmanned Aerial Vehicles and Edge Computing: A Performance Evaluation Using Petri Nets

Sabino,

Lima,

Brito

et al. 2023

Preprint

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Forest fires cause damage to life, biodiversity, and properties, affecting natural ecosystems, healthy and only. During the practical application of fire prevention, numerous detection techniques have been thoroughly researched to prevent devastating fires. The techniques improve early fire detection and accelerate emergency response, reducing damage and optimizing system containment operations. Wildfire detection requires a robust infrastructure for equipment, maintenance, and ongoing monitoring. Effective cooperation between components and integration of technologies is key to a consistent and comprehensive response to fires. This article proposes a fire monitoring system using drones, cameras, and edge computing technologies. We use Stochastic Petri Nets (SPN) to model the structure and evaluate the system's performance. The model is parameterizable, allowing adjustments to the components' resource capabilities and service time. Twenty-four parameters can be defined, making it possible to evaluate a wide variety of different scenarios. The results obtained in different scenarios in this work have the potential for auxiliary administrators of monitoring systems to estimate more than six analyses and plan more optimized architectures as needed.

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Automatic traffic modelling for creating digital twins to facilitate autonomous vehicle development

Wang

Juang

2021

Connection Science

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Performance evaluation of smart cooperative traffic lights in VANETs

Cited by 4 publications

References 0 publications

Quantifying the impact of resource redundancy on smart city system dependability: a model-driven approach

Quantifying the impact of resource redundancy on smart city system dependability: a model-driven approach

Forest Fire Monitoring System Supported by Unmanned Aerial Vehicles and Edge Computing: A Performance Evaluation Using Petri Nets

Automatic traffic modelling for creating digital twins to facilitate autonomous vehicle development

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