No / People, systems, and things in the cities generate large amount of data which is considered to be the most scalable asset of any smart city. Linux users are rapidly increased in last few years, and many large multinational organizations are deploying long distance high bandwidth (LDHB) cloud networks for centralizing the data from various smart cities on a central location. TCP is responsible for reliable communication of data in these cloud networks. For reliability communication among various smart cities, a number of TCP congestion control mechanisms have been developed in the past. TCP Compound, TCP Fusion, and TCP CUBIC are the default TCP congestion control mechanisms for Microsoft Windows, Sun Solaris, and Linux operating systems respectively. The response function of TCP CUBIC is higher than the response function of Standard TCP, which is a trademark congestion control mechanism. As a result, TCP CUBIC does not behave friendly with Standard TCP in LDHB cloud networks. The Congestion Window (cwnd) reduction and growth of TCP CUBIC is very aggressive, which causes high packet loss rate and unfair share of available link bandwidth among competing flows from various smart cities. The aim of this research is to design a new TCP congestion control mechanism for Linux operating system to achieve maximum performance in LDHB cloud networks being used by smart cities. In this paper, congestion control module for slow start (CCM-SS) is designed by increasing the lower boundary limit of cwnd size in slow start phase of communication. Congestion control module for loss event (CCM-LE) is designed by increasing the cwnd reduction rate at each packet loss event and finally Advance Response Function for TCP CUBIC (ARFC) is proposed to design a new congestion control mechanism for Linux operating system. NS-2 is used to compare the performance of TCP CUBIC* with TCP CUBIC in short distance high bandwidth (SDHB) and long distance high bandwidth (LDHB) cloud networks. Results show that TCP CUBIC* has outperformed in LDHB networks, at least by a factor of 18% as compared to TCP CUBIC.

This study examines the integration of urban agriculture into smart cities in the Netherlands, with an emphasis on stakeholder roles and the institutional environment. The study investigates the complex interaction between local governments, businesses, academic institutions, community groups, and residents using the theoretical frameworks of Scott's institutional theory, stakeholder salience theory, and Moore's business ecosystem theory. The study uses semi-structured interviews with important stakeholders to identify each group's power, legitimacy, and urgency, as well as to investigate their relationships and collaboration. Key findings show that local governments play an important role in regulatory support, land use facilitation, and financial incentives, whereas businesses promote technological innovation and economic viability. Academic institutions make significant contributions to research and technological developments, while community groups promote social sustainability and local participation. Residents, as end users, affect urban agriculture by their engagement and demand. Institutional barriers such as regulatory hurdles, financial constraints, and cultural resistance hinder the integration of urban agriculture. Supportive policies, financial incentives, community engagement, and educational initiatives have been stated as crucial facilitators. To address these barriers, the study underlines the importance of streamlining regulatory processes, developing comprehensive food strategies, and increasing public awareness. Urban agriculture can be successfully integrated into smart city frameworks by leveraging the collaborative potential of varying stakeholders and building a supportive institutional environment. This integration fosters sustainable urban development, improves community well-being, and addresses food security, environmental management, and social cohesion issues. The study offers practical recommendations for policymakers and practitioners to build resilient, innovative, and inclusive urban ecosystems, adding valuable insights to the field of sustainable urban development.

This paper investigates how audio monitoring systems should be designed, in the context of smart cities and in accordance with Swedish legislation. Audio monitoring for smart cities is promising and have previously shown great potential. However its opportunities are still relatively unexplored. ShotSpotter is one of several examples of audio monitoring in the context of smart cities. In the US only, the system has successfully been used to alert and locate shootings in over 90 cities. However, the technology is surrounded by controversies and there has been debate whether audio monitoring systems are compatible with law. Compatibility is critical since incompatibility could result in severe sanctions. Research related to this paper has been conducted according to the Design Science research strategy. The research resulted in design guidelines for audio monitoring systems, for law enforcement purposes, in accordance with Swedish law. The design guidelines are based upon existing audio monitoring systems, previous research and empirical data. The empirical data consists of 12 interviews with experts in law, phonetics and digital forensics. Additionally, the design guidelines have been evaluated by an expert in a criteria-based evaluation interview. Results of the research shows that it is, in fact, possible to design audio monitoring systems, in the context of smart cities, in accordance with Swedish legislation. The design guidelines can be applied in the development of audio monitoring systems with law enforcement purposes. With some modification, they can also be used for audio monitoring systems with other purposes. / Uppsatsen syftar till att undersöka hur ljudövervakningssystem inom ramen för smarta städer- konceptet bör utformas i enlighet med svensk lagstiftning. Ljudövervakning för smarta städer har visat på stor potential och ännu är dess möjligheter outforskade. ShotSpotter är ett av flera exempel på ljudövervakning inom ramen för smarta städer. Systemet har med framgång använts för att uppmärksamma och lokalisera skottlossningar i över 90 amerikanska städer. Det råder dock debatt huruvida ljudövervakningssystemet är kompatibelt med lagstiftning. Denna kompatibilitet är kritisk då det motsatta kan resultera i stränga påföljder och därmed utgöra direkta hinder för implementation. Forskning i relation till uppsatsen har genomförts inom ramen för forskningsstrategin Design Science. Forskningsprocessen har mynnat ut i designriktlinjer för hur ett ljudövervakningssystem med brottsbekämpande syfte bör utformas i enlighet med svensk lagstiftning. Designriktlinjerna baseras på befintliga ljudövervakningssystem, tidigare forskning och omfattande empiriskt underlag. Det empiriska underlaget utgörs av 12 intervjuer med olika typer av experter inom juridik, fonetik och IT- forensik. Designriktlinjerna har med framgång utvärderats i en kriteriebaserad expertintervju. Av forskningsresultatet att döma är det möjligt att utforma ljudövervakningssystem för smarta städer i enlighet med svensk lagstiftning. De framtagna designriktlinjerna kan användas vid utveckling av ljudövervakningssystem med brottsbekämpande syfte. Med viss modifikation kan de även användas för ljudövervakningssystem med andra syften.

This thesis project presents a traffic micro simulation study that investigates the state-of-the-art in traffic management "Green Light Optimal Speed Advisory (GLOSA)" for vehicles in a smart city. GLOSA utilizes infrastructure and vehicles communication through using current signal plan settings and updated vehicular information in order to influence the intersection approach speeds. The project involves simulations for a mixed traffic environment of conventional and automated vehicles both connected to the intersection control and guided by a speed advisory traffic management system. Among the project goals is to assess the effects on traffic performance when human drivers comply to the speed advice. The GLOSA management approach is also accessed for its potential to improve traffic efficiency in a full market penetration of connected automated vehicles with enhanced capabilities such as having shorter time head ways.

While there has been considerable research regarding the role of Mobility Hubs in cities and transport networks, significant investment is required to develop these facilities. It is the correlation between investment, new users’ attraction and revenue generation that is the key for a sustainable development of Mobility Hubs and this investment must, therefore, be correctly assessed and targeted. This study aims to develop a methodology to determine the viability of investing in Mobility Hub features, weighing the investment on different Hub features and services against expected potential benefits and revenue generation, addressing the question: Can investment in Mobility Hub features be justified and, if so, which features maximize its expected positive impact? Based on a review of literature and definition of possible Hub features as variables, secondary research data was compiled to enable the analysis of expected impacts of each variable/feature in terms of new user’s attraction and revenue generation, which was then used to develop individual Net Present Value analysis of each feature. The result of these analysis demonstrates and concludes that different Hub features have the potential to generate substantially different investment outcomes, and that each feature should be analyzed individually prior to investment decision. It was also concluded by this research that the proposed assessment methodology can be used for future research on other listed Hub features, albeit with the constraint that primary data will be required when secondary research data is not available.

Os veículos que compõem o tráfego urbano são considerados como o principal agente causador de poluição afetando diretamente a qualidade do ar nas cidades, sendo um desafio ter mecanismos de monitoramento que possibilitem uma visão geral das condições ambientais. Para proporcionar uma visão abrangente seria necessário um grande número de estações fixas de monitoramento da qualidade do ar, além de um incremento constante para acompanhar o crescimento da cidade. Neste cenário, surge a oportunidade de instrumentação de ônibus coletivo com sensores que medem a qualidade do ar durante seu trajeto, assim aproveitando as características de mobilidade do transporte público, o qual transita em áreas povoadas, com postura dinâmica de crescimento, adaptando-se de forma coerente à mutabilidade populacional e geográfica da cidade. A presente tese apresenta novas formas de realizar análises espaçotemporais da qualidade do ar de regiões urbanas. Os modelos cartográficos criados permitem analisar regiões mapeadas usando perspectivas espaciais e temporais com informações obtidas de kits sensores móveis, para análises a cada 100 metros, promovendo uma resolução maior que os modelos tradicionais de monitoramento (escala quilométrica), os quais ainda não oferecem esta possibilidade. Esta maior resolução permite uma nova perspectiva de análises de microrregiões e, desta forma, permite que os especialista ou gestores urbanos possam entender melhor as situações, ao utilizarem as ferramentas e recursos apresentados pela presente tese. Para atingir os objetivos optou-se pela criação e validação de um kit sensor para ser hospedado em ônibus coletivo, o qual foi validado e testado, quanto à sua eficiência de medição. Este kit foi integrado a uma plataforma computacional construída para extrair e processar informações com algoritmos matemáticos. Todos os componentes da plataforma foram legitimados com experimentos que confirmaram as hipóteses inicialmente formuladas para validação. E por fim, mapeamentos com mais de 70 mil pontos foram utilizados na criação de modelos espaçotemporais para realização de estudo de caso de regiões da cidade de São Paulo, os quais demostraram os usos potenciais das proposições desta tese. / The vehicles in urban traffic are considered as the main cause of urban pollution with a direct impact on air quality, being a challenge to have monitoring tools that enable an overview of the environmental conditions influenced by vehicle emissions. One option is to instrument the entire city with low-cost fixed sensors to collect environmental data; however, to provide a comprehensive view would require a large number of sensors, and a constant increase to follow the growth of the city. In this scenario, arises the opportunity for urban bus instrumentation with sensors that measure the environmental pollution, to take advantage of the mobility characteristics of public transport, which moves in populated areas, with dynamic attitude of growth, adapting in a coherent way to population and geographic variability of the city. This PhD Thesis proposes the monitoring of air quality inside urban roads by Wireless Sensor Networks (WSN), hosted on city buses. Thus, new ways of performing spatiotemporal analyzes of the air quality of urban regions are possible with the cartographic models created by this thesis. These allow to analyze mapped regions using spatial and temporal perspectives with information obtained from mobile sensor kits, for analyzes every 100 meters, promoting a resolution higher than the traditional monitoring models (kilometer scale), which still do not offer this possibility. This higher resolution allows a new perspective of analyzes of micro regions and, in this way, allows specialists or urban managers to have a better understanding of the urban scenario. Sensor kits are created to be hosted by bus, which has been validated and tested for its efficiency in measurement. This was integrated into a computational platform built to extract and process information with mathematical algorithms. All the components of the platform were validated with experiments that confirmed the hypotheses originally formulated for validation. Finally, mappings with more than 70,000 points were used in the creation of spatiotemporal models for the study of the case of regions of the city of São Paulo, which denoted the potentials constructed by this thesis.

Esta dissertação propõe um modelo tecnológico de automação para realização de pesquisas no setor do transporte público, com o objetivo de contribuir para o aprimoramento da coleta de dados, avaliação e manutenção da qualidade dos serviços prestados à população. O trabalho justifica-se pela necessidade de superação de lacunas existentes para obtenção de informações, o que repercute na gestão do sistema de transporte público como um todo. Devido à relevância crescente do tema da mobilidade urbana e os impactos que provoca na qualidade de vida das pessoas, o objeto de estudo escolhido foram os deslocamentos dos passageiros por meio do uso de ônibus na cidade de São Paulo. O modelo proposto integra a tecnologia de identificação por radiofrequência (RFID - Radio Frequency IDentification), em cartões inteligentes, utilizados atualmente para pagar a tarifa, com tecnologias de rastreamento da frota, que, por meio de GPS (Global Position Systems), fornecem informações sobre os locais de circulação dos ônibus. Os resultados obtidos mostram que esta integração pode resolver os problemas da falta de precisão no levantamento de dados sobre os locais onde são iniciadas e finalizadas as viagens de passageiros, bem como tornar sistemáticos os levantamentos de tais dados, sem necessidade de pesquisas manuais, o que representa economia de recursos. Constitui uma proposta inovadora com grande utilidade para ampliar as condições que favorecem a mobilidade urbana e é convergente no desenvolvimento de cidades inteligentes. / This dissertation proposes a technological model for automation for conducting surveys in the public transport sector, in order to contribute to the improvement of data collection, evaluation and maintenance of quality of services rendered to the population. The work is justified by the need to overcome gaps for obtaining information, which affects the management of the public transport system as a whole. Due to the increasing relevance of the issue of urban mobility and its impact on quality of life, the chosen object of study were the passenger movements through the bus use in the city of São Paulo. The proposed model integrates the radio frequency identification technology - RFID, on smart cards currently used to pay the fare, with fleet tracking technologies, which, through GPS (Global Position Systems), provide information on the bus traffic locations. The results show that this integration can solve the problems of lack of precision in data about where passenger trips are initiated and completed as well as make systematic withdrawals of such data without the need for manual searches, saving features. It is an innovative proposal with great use to expand the conditions that improve urban mobility and is convergent to the development of smart cities.

Os veículos que compõem o tráfego urbano são considerados como o principal agente causador de poluição afetando diretamente a qualidade do ar nas cidades, sendo um desafio ter mecanismos de monitoramento que possibilitem uma visão geral das condições ambientais. Para proporcionar uma visão abrangente seria necessário um grande número de estações fixas de monitoramento da qualidade do ar, além de um incremento constante para acompanhar o crescimento da cidade. Neste cenário, surge a oportunidade de instrumentação de ônibus coletivo com sensores que medem a qualidade do ar durante seu trajeto, assim aproveitando as características de mobilidade do transporte público, o qual transita em áreas povoadas, com postura dinâmica de crescimento, adaptando-se de forma coerente à mutabilidade populacional e geográfica da cidade. A presente tese apresenta novas formas de realizar análises espaçotemporais da qualidade do ar de regiões urbanas. Os modelos cartográficos criados permitem analisar regiões mapeadas usando perspectivas espaciais e temporais com informações obtidas de kits sensores móveis, para análises a cada 100 metros, promovendo uma resolução maior que os modelos tradicionais de monitoramento (escala quilométrica), os quais ainda não oferecem esta possibilidade. Esta maior resolução permite uma nova perspectiva de análises de microrregiões e, desta forma, permite que os especialista ou gestores urbanos possam entender melhor as situações, ao utilizarem as ferramentas e recursos apresentados pela presente tese. Para atingir os objetivos optou-se pela criação e validação de um kit sensor para ser hospedado em ônibus coletivo, o qual foi validado e testado, quanto à sua eficiência de medição. Este kit foi integrado a uma plataforma computacional construída para extrair e processar informações com algoritmos matemáticos. Todos os componentes da plataforma foram legitimados com experimentos que confirmaram as hipóteses inicialmente formuladas para validação. E por fim, mapeamentos com mais de 70 mil pontos foram utilizados na criação de modelos espaçotemporais para realização de estudo de caso de regiões da cidade de São Paulo, os quais demostraram os usos potenciais das proposições desta tese. / The vehicles in urban traffic are considered as the main cause of urban pollution with a direct impact on air quality, being a challenge to have monitoring tools that enable an overview of the environmental conditions influenced by vehicle emissions. One option is to instrument the entire city with low-cost fixed sensors to collect environmental data; however, to provide a comprehensive view would require a large number of sensors, and a constant increase to follow the growth of the city. In this scenario, arises the opportunity for urban bus instrumentation with sensors that measure the environmental pollution, to take advantage of the mobility characteristics of public transport, which moves in populated areas, with dynamic attitude of growth, adapting in a coherent way to population and geographic variability of the city. This PhD Thesis proposes the monitoring of air quality inside urban roads by Wireless Sensor Networks (WSN), hosted on city buses. Thus, new ways of performing spatiotemporal analyzes of the air quality of urban regions are possible with the cartographic models created by this thesis. These allow to analyze mapped regions using spatial and temporal perspectives with information obtained from mobile sensor kits, for analyzes every 100 meters, promoting a resolution higher than the traditional monitoring models (kilometer scale), which still do not offer this possibility. This higher resolution allows a new perspective of analyzes of micro regions and, in this way, allows specialists or urban managers to have a better understanding of the urban scenario. Sensor kits are created to be hosted by bus, which has been validated and tested for its efficiency in measurement. This was integrated into a computational platform built to extract and process information with mathematical algorithms. All the components of the platform were validated with experiments that confirmed the hypotheses originally formulated for validation. Finally, mappings with more than 70,000 points were used in the creation of spatiotemporal models for the study of the case of regions of the city of São Paulo, which denoted the potentials constructed by this thesis.

Submitted by Nadir Basilio (nadirsb@uninove.br) on 2019-03-18T18:15:52Z No. of bitstreams: 1 Renard Lopes Villas Boas do Lago.pdf: 4581569 bytes, checksum: 9c4647056794f2f9266e721e689971ee (MD5) / Made available in DSpace on 2019-03-18T18:15:52Z (GMT). No. of bitstreams: 1 Renard Lopes Villas Boas do Lago.pdf: 4581569 bytes, checksum: 9c4647056794f2f9266e721e689971ee (MD5) Previous issue date: 2019-02-08 / In seeking the construction of an intelligent city there is a need to identify the processes that may or may not contribute to its construction and which challenges to overcome, taking into account the aspects of urban life, such as mobility, security, communication systems, sanitation and also for the electrical system. This research is a case study with the purpose of transforming Búzios into an intelligent city, as it is published by the municipal administration. The study aimed to verify if all the projects presented were executed and if the concepts of sustainability, rationality and loss control are being applied. The approach defined for research was qualitative, verifying the facts and seeking to clarify the dynamics of social relations, through a descriptive and exploratory research. During the visit to the city information was collected through interviews and direct observations, among the interviews were qualified 20 residents and collected 202 photographs. Among the projects implemented and in operation are three generators of photovoltaic energy, as for the projects implemented and that presented discontinuity and failures in its operation are the intelligent LED lighting system, the free internet system project, the projects with the systems of generation of aerogenerator energy, power network automation projects and installation projects of smart meters. During the technical visit, it was not possible to identify characteristics or contributions that define the city of Búzios-RJ, as the first intelligent city in Latin America, as little as an intelligent city, once the projects executed show flaws, a small part of the city was contemplated, the population does not have knowledge about the project, lack of continuity and governance. Although the projects listed make sense as components of an intelligent city with an intelligent electric grid, it was not possible to characterize the city as "intelligent" since the projects did not show, in their majority, effectiveness and scope enough to do so. The city can, however, become intelligent by expanding the reach and effectiveness of the projects. / Ao almejar a construção de uma cidade inteligente existe a necessidade de identificar os processos que podem ou não contribuir para sua construção e quais os desafios a serem superados, levando-se em conta os aspectos da vida urbana, como mobilidade, segurança, sistemas de comunicação, saneamento e também para o sistema elétrico. A presente pesquisa é um estudo de caso tendo como objeto a transformação de Búzios em cidade inteligente, conforme é divulgado pela administração municipal. O estudo teve como objetivo verificar se todos os projetos apresentados foram executados e se os conceitos de sustentabilidade, racionalidade e controle de perdas estão sendo aplicados. A abordagem definida para pesquisa foi qualitativa, verificando os fatos e buscando esclarecer a dinâmica das relações sociais, por meio de uma pesquisa descritiva e exploratória. Durante a visita a cidade foram coletadas informações por meio de entrevistas e observações diretas, dentre as entrevistas foram qualificados 20 moradores e coletadas 202 fotografias. Dentre os projetos implementados e em funcionamento estão três geradores de energia fotovoltaica, quanto aos projetos implementados e que apresentaram descontinuidade e falhas no seu funcionamento estão o sistema de iluminação a LED inteligente, o projeto de sistema de internet gratuita, os projetos com os sistemas de geração de energia aerogerador, os projetos de automação da rede de energia e os projetos da instalação dos medidores inteligentes. Durante a visita técnica não foi possível identificar características ou contribuições que definam a cidade de Búzios-RJ, como a primeira cidade inteligente da América Latina, tão pouco como cidade inteligente, uma vez que os projetos executados apresentaram falhas, uma pequena parte da cidade foi contemplada, a população não possui conhecimento sobre o projeto, falta de continuidade e de governança. Embora os projetos elencados façam sentido como componentes de uma cidade inteligente, com rede elétrica inteligente, não foi possível caracterizar a cidade como "inteligente" dado que os projetos não apresentaram, em sua maioria, efetividade e alcance suficiente para isso. A cidade pode, no entanto, tornar-se inteligente ao ampliar o alcance e a efetividade dos projetos.

Submitted by JOSIANE SANTOS DE OLIVEIRA (josianeso) on 2017-12-05T13:53:52Z No. of bitstreams: 1 Rodrigo Barbosa Sousa Orrego_.pdf: 1535012 bytes, checksum: b6e744cff7702628ea69ae095d198122 (MD5) / Made available in DSpace on 2017-12-05T13:53:52Z (GMT). No. of bitstreams: 1 Rodrigo Barbosa Sousa Orrego_.pdf: 1535012 bytes, checksum: b6e744cff7702628ea69ae095d198122 (MD5) Previous issue date: 2017-07-31 / Nenhuma / O surgimento de cidades que utilizam conceitos de tecnologia de ponta em várias áreas tem sido possibilitado graças aos progressos no desenvolvimento de sistemas de tecnologia da informação e comunicação. Avanços nas tecnologias de comunicação wireless e da tecnológica da informação e comunicação em geral oferecem oportunidades para a criação de um modelo de crowdsourcing, para registrar e atualizar recursos de uma cidade, baseado em gamificação para cidades inteligentes, objetivando ampliar a independência das pessoas que necessitam dos recursos das cidades e melhorar a qualidade de vida dos cidadãos. Esta dissertação aborda o problema do gerenciamento de recursos para cidades inteligentes utilizando crowdsourcing combinada com gamificação. Foi proposto um modelo, chamado CORE-MM, que permite a utilização de técnicas de crowdsourcing para que o gerenciamento de recursos das cidades seja feito pelos próprios cidadãos interessados, sem depender obrigatoriamente de uma organização ou da administração pública, e técnicas de gamificação para que este comportamento de participação neste processo de gerenciamento de recursos seja incentivado. O CORE-MM propõe o uso de crowdsourcing integrado com gamificação, para gerenciar recursos de uma cidade inteligente, com dois objetivos interdependentes: o de motivar a utilização do sistema pelos usuários, e também o de incentivar sua participação no compartilhamento e gerenciamento de informações. O nome CORE-MM significa COllaborative REsource Management Model, que em português significa Modelo de Gerenciamento Colaborativo de Recursos. / The emergence of cities that use state-of-the-art technology concepts in various areas has been made possible by advances in the development of information and communication technology systems. Advances in wireless communication technologies and information and communication technologies in general offer opportunities for creating a crowdsourcing model, based on gamification for smart cities, to manage cities resources, aiming to broaden the independence of the people that need the cities resources and improve the quality of life of citizens. This study addresses the problem of resource management for smart cities using crowdsourcing combined with gamification. A model called CORE-MM has been proposed by this study, which allows the use of crowdsourcing techniques so that the management of cities resources is done by the citizens themselves, without necessarily having to rely on an organization or public administration, and techniques of gamification to encourage this behavior of participation in this resource management process. CORE-MM proposes the use of crowdsourcing integrated with gamification to manage the resources of an intelligent city, with two interdependent objectives: to motivate the use of the system by the users, and also to encourage their participation in the sharing and management of information. The name CORE-MM stands for COllaborative REsource Management Model.