Use of GIS for SunRise Smart City project, large scale demonstrator of the smart city

Afaneh, Ahmad; Shahrour, Isam

doi:10.1109/senset.2017.8125071

Cited by 5 publications

(6 citation statements)

References 5 publications

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“…Once the data have been acquired and organized, relevant tools can be used for initial visualization and analysis. Afaneh and Shahrour [33] introduced the use of geographic information for data management and visualization in the Smart City Project (SunRise, Smart City) at the Lille University Science Park. It used smart sensors to collect operational data of water and energy networks and used Geographic Information System (GIS) to manage and visualize assets and operational data of smart city projects.…”

Section: Related Workmentioning

confidence: 99%

In-Depth Analysis of Railway and Company Evolution of Yangtze River Delta with Deep Learning

2020

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The coordinated development of smart cities has become the goal of world urban development, and the railway network plays an important role in this progress. This paper proposes a solution that integrates data acquisition, storage, GIS visualization, deep learning, and statistical correlation analysis to deeply analyze the distribution data of companies collected in the past 40 years in the Yangtze River Delta. Through deep learning, we predict the spatial distribution of the company after the opening of the train stations. Through statistical and correlation analysis of the company’s registered capital and quantity, the urban development relationship under the influence of the opening of the railway is explored. Going forward, the use and application of such analysis can be tested for use and application in the context of other smart cities for specific aspects or scale.

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Section: Related Workmentioning

confidence: 99%

In-Depth Analysis of Railway and Company Evolution of Yangtze River Delta with Deep Learning

2020

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“…Geographic Information System (GIS) is used in mapping technologies of smart cities and location as it provides information on the geographical location and analyzing and visualizing it and then providing engineers and managers to turn this data into a piece of operational information [1]. GIS withholds a big ability of in the process of database search, inquiry, and showing analyzed results in a simple form in many areas to facilitate decision making.Those areas include; crisis management as it evaluates infrastructure for facilitating a time effective response, urban planning for evaluation performance of various areas and services, environmental protection as it classifies several aspects of the environment for easy fast comparison, building maps as it is a more flexible method in processing digital up to date maps with the help of satellite images, civil engineering as it offers the needed data for proper development and maintenance of infrastructure.…”

Section: Smart City Technologiesmentioning

confidence: 99%

“…In the upcoming years, and as urbanization is truly a global problem, the idea of urban planning is to find a better solution for urbanization problems. 50% of human population are now living in cities, predictions suggest that it will reach 70% by 2050.Sustainability is one solution to overcome the destructive outcome of the rapid urbanization problems, Smart cities are one way to sustainably keep up with the rapid growth of the population within our cities [1]. Recently, many cities around the world are trying to integrate smart technologies into their buildings and infrastructure.…”

Section: Introductionmentioning

confidence: 99%

The influence of smart technologies: A comparative study on developing Large to small scale smart cities and smart campuses.

Afaneh

Alshafei

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Recently, urban growth has become a major concern, and it will remain so in the coming years as the majority of individuals living in cities expand. As a result, urban planning must devise answers to the difficulties that inevitably arise as a result of this indisputable rapid urbanization. From this perspective, this study will be looking at how smart information and communication technology (ICT) might help to improve eco-social and environmental sustainability within urban contexts.The purpose of this article is to perform a broad examination of how ICT can contribute to the creation of a large scale smart city to a small scale smart campus. Within its descriptive narrative approach, the study presents an overview of real cases. The study will conclude in setting a comparative between small to large scale smart city motivations through the lessons learned from the overviewed cases. Towards bringing an understanding of the approaches taken towards transforming existing urban contexts of several scales into a sustainable scheme, and sustaining smart into them for short to long term planning and implementation benefits.

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“…In addition, the differences between the present work and other proposals are presented. Hassan [24] Wang et al [25] Guodong [26] Wang et al [27] Passos [7] Masoud [6] Afaneh [2] Wang [29] Current Work…”

Section: Related Workmentioning

confidence: 99%

“…This paper outlines the need for rapid deployment of wireless sensors for applications of the Internet of Things (IoT), which are particularly required in smart cities where, in each case, rapid deployment, low costs, and the possibility of using a variety of technological solutions are required [ 1 , 2 ].…”

Section: Introductionmentioning

confidence: 99%

Novel Approach Sizing and Routing of Wireless Sensor Networks for Applications in Smart Cities

Inga

Ortega

2021

Sensors

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Citizens are expected to require the growth of multiple Internet of Things (IoT) -based applications to improve public and private services. According to their concept, smart cities seek to improve the efficiency, reliability, and resilience of these services. Consequently, this paper searches for a new vision for resolving problems related to the quick deployment of a wireless sensor network (WSN) by using a sizing model and considering the capacity and coverage of the concentrators. Additionally, three different routing models of these technology resources are presented as alternatives for each WSN deployment to ensure connectivity between smart meters and hubs required for smart metering. On the other hand, these solutions must reduce costs when this type of wireless communication network is deployed. The present work proposes various optimization models that consider the physical and network layers in order to integrate different wireless communication technologies, thus reducing costs in terms of the minimum number of data aggregation points. Using a heterogeneous wireless network can reduce resource costs and energy consumption in comparison to a single cellular technology, as proposed in previous works. This work proposes a sizing model and three different models for routing wireless networks. In each case, constraints are evaluated and can be associated with different real-world scenarios. This document provides an optimization model that encompasses all of the proposed constraints; due to the combinatorial nature of the problem, this would require a heuristic technique.

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Use of GIS for SunRise Smart City project, large scale demonstrator of the smart city

Cited by 5 publications

References 5 publications

In-Depth Analysis of Railway and Company Evolution of Yangtze River Delta with Deep Learning

In-Depth Analysis of Railway and Company Evolution of Yangtze River Delta with Deep Learning

The influence of smart technologies: A comparative study on developing Large to small scale smart cities and smart campuses.

Novel Approach Sizing and Routing of Wireless Sensor Networks for Applications in Smart Cities

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