مقاله انگلیسی رایگان در مورد مدل شهر هوشمند – الزویر ۲۰۲۰

elsevier

 

مشخصات مقاله
ترجمه عنوان مقاله مدل شهر هوشمند مبتنی بر تئوری سیستم ها
عنوان انگلیسی مقاله Smart city model based on systems theory
انتشار مقاله سال ۲۰۲۰
تعداد صفحات مقاله انگلیسی ۱۱ صفحه
هزینه دانلود مقاله انگلیسی رایگان میباشد.
پایگاه داده نشریه الزویر
نوع نگارش مقاله
مقاله پژوهشی (Research Article)
مقاله بیس این مقاله بیس نمیباشد
نمایه (index) Scopus – Master Journals List – JCR
نوع مقاله ISI
فرمت مقاله انگلیسی  PDF
ایمپکت فاکتور(IF)
۷٫۳۳۸ در سال ۲۰۱۹
شاخص H_index ۹۱ در سال ۲۰۲۰
شاخص SJR ۱٫۷۱۱ در سال ۲۰۱۹
شناسه ISSN ۰۲۶۸-۴۰۱۲
شاخص Quartile (چارک) Q1 در سال ۲۰۱۹
مدل مفهومی ندارد
پرسشنامه ندارد
متغیر ندارد
رفرنس دارد
رشته های مرتبط مهندسی فناوری اطلاعات، مدیریت
گرایش های مرتبط مدیریت سیستم های اطلاعاتی، مدیریت فناوری اطلاعات ITM
نوع ارائه مقاله
ژورنال
مجله  مجله بین المللی مدیریت اطلاعات – International Journal of Information Management
دانشگاه  Faculty of Transportation Sciences, Czech Technical University in Prague, Konviktska 20, Praha 1, 110 00, Czech Republic
کلمات کلیدی مدلسازی، سیستم های چند عاملی، چارچوب ارزیابی شهر هوشمند (SMACEF)، شهر هوشمند، عامل هوشمند
کلمات کلیدی انگلیسی Modelling، Multi-Agent systems، SMACEF، Smart city، Intelligent agent
شناسه دیجیتال – doi
https://doi.org/10.1016/j.ijinfomgt.2020.102092
کد محصول E14639
وضعیت ترجمه مقاله  ترجمه آماده این مقاله موجود نمیباشد. میتوانید از طریق دکمه پایین سفارش دهید.
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فهرست مطالب مقاله:
Abstract
۱٫ Introduction
۲٫ Background
۳٫ Cities versus smart cities
۴٫ Smart cities as cyber-physical systems
۵٫ Modelling of smart cities
۶٫ Smart cities and multi-agent systems
۷٫ Smart city agent
۸٫ Use case: modeling of charging of electric vehicles
۹٫ Results
۱۰٫ Discussion
۱۱٫ Conclusions
CRediT authorship contribution statement
Acknowledgement
References

بخشی از متن مقاله:
Abstract

While there are several partial solutions to model some aspects of cities (e.g. transportation or energy), there is no framework allowing modelling of a complex system such as a city. This paper aims on providing a solution that can be used by practitioners to model impact of different scenarios and smart city projects encapsulating different subsystems, such as transportation, energetics or, for example, eGovernment. The term “smart cities” is classified into Systems Theory, particularly focusing on Cyber-Physical Systems. This classification is further elaborated to define a new term, so-called Smart City Agent (SCA). The SCA is considered as the main building block for modelling smart cities. The approach within this paper however stresses the interconnection of different systems within a city. Its’ strength is in better exchange of data and among heterogeneous agents. This information management approach is the missing key in the growing market of partial smart city solutions as it will allow simulation of solutions in complex systems such as a city. The suitability of usefulness of the proposed approach is demonstrated on a use case dealing with charging of electrical vehicles. The results show that the approach is suitable for modelling of dynamic behaviour.

Introduction

The area of smart cities is currently undergoing a quick development and many different solutions are emerging on the markets. It is estimated that by 2030 more than 100 billion dollars will be invested in smart city applications (Visvizi & Lytras, 2018). In the paper (Lom & Pribyl, 2017), a modelling approach of smart cities called SMArt City Evaluation Framework (SMACEF) was introduced. SMACEF is the modular framework that allows modelling of the current state of a system as well as its future states, and based on defined scenarios and key performance indicators (KPIs) can be benchmarked which the proposed solution is the best one. In other words, the goal of the framework is to evaluate if the proposed solutions are beneficial and useful for cities or not. The modelling approach is based on the Multi-Agent Systems (MAS). Every object is represented by an intelligent agent. The practical implementation of SMACEF was published in the paper (Pribyl, Lom, & Přibyl, 2017). Based on SMACEF, a new type of an intelligent agent – Smart City Agent (SCA) is introduced and described as a building block for modelling smart cities in this paper. The area of smart city modelling is classified to the theories of Systems Theory and Cyber-Physical Systems, and both can be modelled by Multi-Agent Systems. The Smart City Agent is a modified version of an intelligent agent. It is more suitable for benchmarking and evaluating purposes in smart cities. The practical example of an implementation of Smart City Agents using SMACEF is demonstrated. Cities are dynamic and nonlinear systems and for this reason the models have to be dynamically simulated with different scenarios, and the results of these simulations should be benchmarked.

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