Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia

Pla‐Castells, Marta; Martínez-Durá, Juan José; Zapater, José Javier Samper; Gimeno, Ramón Vicente Cirilo

doi:10.1109/scsp.2015.7181559

Cited by 24 publications

(9 citation statements)

References 3 publications

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“…Transport, as one of the elements of the Smart City, is undergoing many changes to meet the assumptions of urban development and positively affect the residents [ 26 ]. Modern transport solutions include wireless communication using Wi-Fi networks, global positioning (GPS), and communication using cellular networks ( Figure 2 ).…”

Section: Smart City Traffic Solutionsmentioning

confidence: 99%

Dynamic RFID Identification in Urban Traffic Management Systems

Pawłowicz

Trybus

Salach

et al. 2020

Sensors

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The paper covers the application of Radio Frequency IDentification (RFID) technology in road traffic management with regard to vehicle identification. Various infrastructure configurations for Automated Vehicle Identification (AVI) have been presented, including configurations that can be used in urban traffic as part of the Smart City concept. In order to describe the behavior of multiple identifications of moving vehicles, an operation model of the dynamic identification using RFID is described. While it extends the definition of the correct work zone, this paper introduces the concept of dividing the zone into sections corresponding to so-called inventory rounds. The system state is described using a set of matrices in which unread, read, and lost transponders are recorded in subsequent rounds and sections. A simplified algorithm of the dynamic object identification system was also proposed. The results of the simulations and lab experiments show that the efficiency of mobile object identification is conditioned by the parameters of the communication protocol, the speed of movement, and the number of objects.

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Section: Smart City Traffic Solutionsmentioning

confidence: 99%

Dynamic RFID Identification in Urban Traffic Management Systems

Pawłowicz

Trybus

Salach

et al. 2020

Sensors

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“…The total number of papers is 1294. Over 36 years, the frequency of the words in decreasing order was as follows: smart growth (59), sustainability (32), ITS (26), mobile application (25), urban sprawl (22), and Internet of Things (22). The degree centrality of the words in decreasing order was as follows: smart growth (0.25), sustainability (0.15), big data (0.15), sustainable development (0.15), urban planning (0.15), and GPS (0.15).…”

Section: Abstract Before 2016mentioning

confidence: 99%

“…With the development of ICT, the functions of urban management were improved in various fields, such as transportation, energy, health care, and water [2], and the use of ICT facilitated the development and delivering of information and knowledge generated in daily life, promoting citizens' participation in e-governance and e-services [25]. Additionally, ICT is a technical platform for the process of collecting and processing massive amounts of data, called big data, enhancing digital devices, Internet services, the IoT, and the Internet of people's societies [25], and these techniques and technologies have been recognized as tools of urban planning to create innovative, intelligent spaces and improve urban sustainability [26]. In this way, the information gathered by these processes is accelerated to achieve intelligence and efficiency in managing urban resources and settings [27][28][29].…”

Section: Introductionmentioning

confidence: 99%

A Comparison of a Smart City’s Trends in Urban Planning before and after 2016 through Keyword Network Analysis

2019

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The aim of this study was to explore the keywords related to smart city concepts, and to understand their flow. This research used a keyword network analysis by collecting keywords from papers published on the web from Scopus, which is an international scholarly papers engine. The data were collected from before and after 2016, and since the amount of data has been growing rapidly after global agreements such as the United Nations' Sustainable Development Goals (SDGs) in 2015, we attempted to focus on adjacent years of publication. In order to understand the flow of research, we conducted a central analysis, which is widely used in quantitative research relating to social network analysis, and performed cluster analysis to identify relationships with related research. The results of the analysis are represented in the form of network maps, and the role of each keyword was clarified based on these network maps. In addition, the overall flow explained the change of flow through discarded and emerging keywords, and the relationships with related fields were explained through cluster analysis. The findings could serve as a basis for policymakers, urban managers, and researchers seeking a comprehensive understanding of the smart city concept in urban planning areas.Sustainability 2019, 11, 3155 2 of 25 adaption to environmental issues such as climate change and global warming, and efficiently utilizing and managing energy. In addition, Information and Communication Technologies (hereafter ICT) will extensively and effectively help cities achieve a comparative edge [4,8,9], and be used as the tools and means to develop Intelligent Transport Systems (hereafter ITS) with mobility information and the Internet of Things (hereafter IoT) [10][11][12], as well as to achieve urban policy making based on governance and open data [13][14][15]. Accordingly, in improving the urban quality of future urban areas, the term smart city is considered as an umbrella concept that includes various sub-concepts such as sustainable smart environments, smart technology, smart energy, smart transportation, smart mobility, and smart government [16][17][18][19][20][21].

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“…The accelerated development of cities brings several problems related to the unplanned growth of urban areas [Carvalho et al 2018]. Consequently, innovative technologies should be created to guarantee a better quality of life for population and optimize the management of resources and infrastructure [Pla-Castells et al 2015]. Smart cities depend on advanced data processing with the objective of contributing to the social, environmental and economic needs of society [Yin et al 2015].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Simulation of a Smart Street Lighting System

Teixeira

Lebtag

Oliveira

et al. 2019

Anais Do Workshop Em Modelagem E Simulação De Sistemas Intensivos Em Software (MSSiS 2019)

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Smart cities comprise highly dynamic, complex and softwareintensive systems planned and created to cope with problems inherent to the increasing world population, such as need for life quality in cities, intense traffic, and sustainability. Owing to such complexity and dynamics, static notations, such as Unified Modeling Language (UML) and Systems Modeling Language (SysML), are often unable to support a precise conception, planning and design of those smart cities. In turn, the combination of traditional modeling and simulation (M&S) could leverage the design of such systems by enabling the analysis of both structure and behavior aspects still at design-time. The main contribution of this paper is offering evidence to support the premise of M&S be a promising paradigm for software engineering, including in smart cities domain. We report findings on a study carried out for assessing, via M&S, two architectures for a Public Street Lighting System (PSLS) of a smart city. The first architecture uses a hub as intermediator between luminaries and PSLS. The second architecture uses software-intensive luminaries connected to the PSLS using publish/subscribe architectural style. Preliminary results show that the publish/subscribe architecture delivers a greater degree of correctness than the former. Additionally, we conjecture that the adoption of M&S can foster the identification of smart cities behaviors and the identification of, at design-time, properties that could be noticed only after the system has been already deployed.

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Use of ICT in Smart Cities. A practical case applied to traffic management in the city of Valencia

Cited by 24 publications

References 3 publications

Dynamic RFID Identification in Urban Traffic Management Systems

Dynamic RFID Identification in Urban Traffic Management Systems

A Comparison of a Smart City’s Trends in Urban Planning before and after 2016 through Keyword Network Analysis

Modeling and Simulation of a Smart Street Lighting System

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