Integrating Embedded Multiagent Systems with Urban Simulation Tools and IoT Applications

The smart city systems development connected to the Internet of Things (IoT) has been the goal of several works in the multi-agent system field. Nevertheless, just a few projects demonstrate how to deploy and make the connection among the employed systems. This paper proposes an approach towards the integration of a MAS through the JaCaMo framework plus an Urban Simulation Tool (SUMO), IoT applications (Node-RED, InfluxDB, and Grafana), and an IoT platform (Konker). The integration presented in this paper applies in a Smart Parking scenario with real features, where is shown the integration and the connection through all layers, from agent level to artifacts, including real environment and simulation, as well as IoT applications. In future works, we intend to establish a methodology that shows how to properly integrate these different applications regardless of the scenario and the used tools.

Assessment of the risks of losing investments aimed at the development of Smart city systems

The article proposes a model for the computational core of the decision support system (DSS) in assessing the risks of investment loss during the dynamic planning (DP) of Smart City development. In contrast to the existing solutions, the proposed model provides specific recommendations when assessing the risks of loss. In case of an unsatisfactory risk forecast, it is possible to flexibly adjust the parameters of the investment process in order for the parties to achieve an acceptable financial result. The scientific novelty of the results is that for the first time it is proposed to apply a new class of bilinear multistep games. This class allowed us to adequately describe the process of assessing the risks of investment loss, using the example of dynamic planning for the placement of financial resources of players in Smart City projects. A distinctive feature of the considered approach is the use of tools based on the solution of a bilinear multistep game of both quality with several terminal surfaces, and a game of degree solved in the class of mixed strategies. Computational experiments were carried out in the Maple mathematical modeling package, and a DSS was developed in which a risk assessment model was implemented. The developed DSS allows to reduce the discrepancies between the data for predicting the risks of investment loss during the Smart City DP and the real return on investment.

Improve Security in Smart Cities Based on IoT, Solve Cyber Electronic Attacks with Technology by using Packet Tracer

Smart cities are expected to significantly improve people's quality of life, promote sustainable development, and enhance the efficiency of operations. With the implementation of many smart devices, c problems have become a serious challenge that needs strong treatments, especially the cyber-attack, which most countries suffer from it. My study focuses on the security of smart city systems, which include equipment like air conditioning, alarm systems, lighting, and doors. Some of the difficulties that arise daily may be found in the garage. This research aims to come up with a simulation of smart devices that can be and reduce cyber attach. Use of Cisco Packet tracer Features Simulated smart home and c devices are monitored. Simulation results show that smart objects can be connected to the home portal and objects can be successfullymonitored which leads to the idea of real-life implementation and see. In my research make manysolutions for attachingissues,which was great, and apply some wirelessprotocol.

Cross-sectoral process modelling for smart city development

PurposeIntegration of city systems is needed to provide flexibility, agility and access to real-time information for the creation and delivery of efficient services in a smart and sustainable city. Consequently, City Process Modelling (CPMo) becomes an essential element of connecting various city sectors. However, to date, there has been limited research on the requirements of an ideal CPMo approach and the usefulness of available Business Process Modelling (BPMo) approaches. This research develops a framework for CPMo to guide smart city developers when modelling city processes.Design/methodology/approachData from literature analysis was gathered to derive capabilities of existing BPMo techniques. Then, semi-structured interviews were conducted to thematically and qualitatively explore the requirements, challenges and success factors of CPMo.FindingsThe interview findings offered 17 requirements to be addressed by a CPMo approach, along with several challenges and success factors to be considered when implementing CPMo approaches. Then, the paper presents the results of mapping these requirements against 12 existing BPMo capabilities, identified from the literature, concluding that a significant number of requirements (which are mainly related to inputs and visualisation) have been left unfulfilled by existing BPMo approaches. Hence, developing an innovative CPMo approach is necessary to address the components of unfulfilled requirements.Originality/valueThe innovative framework presented in this paper justifies the CPMo requirements, which are unexplored in existing SCD frameworks. Moreover, it will act as a guide for smart city developers, to model cross-sectoral city processes, helping them progress their SCD road map and make their cities smart.

CONCEPT AND EVALUATION OF AN URBAN PLATFORM FOR INTERACTIVE VISUAL ANALYTICS

Urban platforms are becoming a vital role player in city resources management for achieving the right balance between social and economic services and their impact on the environment. More and more cities are starting to benefit from an urban platform to state the city conditions and re-coin the shape of life depending on data gathered from different city systems. However, urban platforms need further support of data analytics in respect of reaching a smart city platform helping city planners with better decision making. Besides, the majority of operational urban platforms consider 2D data only, missing out on the possible information that could be obtained from 3D city models. This work proposes a concept for an urban platform that supports data manipulation and visualization plus interactive analytic functionalities. As a prototype, an urban platform is implemented for integrating and processing 3D city models and 2D traffic data to derive air pollutants emission rates with analytic visualization, leading urban planning to concentrate on the most affected areas. In addition, interactive features are implemented, including filtering, querying, and classifying data to support the analytic visualization in the developed urban platform.

Managing the displacement of population from the failing housing stock in the area's socio-economic development strategic planning system: The municipal dimension

Subject. This article examines trends in the management of unfit housing facilities within the framework of the implementation of national and federal projects. Objectives. The article aims to define the specifics of the process of managing the resettlement of citizens from unfit housing facilities and improve the implementation of municipal programmes in the field of housing policy. Methods. For the study, we used a systems analysis, and the techniques used in professional practices of control and accounts bodies. Results. The article describes the peculiarities of the management of unfit housing stock and the problems of the participants of relocation in Volgograd. The article also proposes a system of measures to improve resettlement management and substantiates the benefits of the project-based approach. Conclusions. Historical features of housing construction, natural and climatic factors, management culture influence the choice of the way to solve the problem of unfit housing stock settlement. This requires a differentiated approach to resettlement management. The introduction of innovative capital construction technologies as well as smart city systems can contribute to solving the strategic task of minimizing unfit housing stock in the mid-term.

The urban planner's guide to coworking: a case study of Toronto, Ontario.

This paper describes exploratory research carried out to examine coworking, an emerging phenomenon of shared, collaborative work spaces, using a case study of the City of Toronto, from the perspective of urban planners and policy-makers. The research is premised on the belief that, as planners, being connected to the pulse of the city and documenting emerging trends is a critical component of our work. The research uses qualitative techniques, including interviews with coworkers and coworking site owner-operators to explore coworking – specifically, to understand the experiences of coworkers, to begin to consider the potential implications of coworking sites on larger city systems, and to examine the relationship between the coworking site, the coworking community, and the surrounding neighbourhood. Ultimately, the research provides future directions for research, in order to inform recommendations about the potential role for public policy and planning intervention in the coworking industry.

The urban planner's guide to coworking: a case study of Toronto, Ontario.

This paper describes exploratory research carried out to examine coworking, an emerging phenomenon of shared, collaborative work spaces, using a case study of the City of Toronto, from the perspective of urban planners and policy-makers. The research is premised on the belief that, as planners, being connected to the pulse of the city and documenting emerging trends is a critical component of our work. The research uses qualitative techniques, including interviews with coworkers and coworking site owner-operators to explore coworking – specifically, to understand the experiences of coworkers, to begin to consider the potential implications of coworking sites on larger city systems, and to examine the relationship between the coworking site, the coworking community, and the surrounding neighbourhood. Ultimately, the research provides future directions for research, in order to inform recommendations about the potential role for public policy and planning intervention in the coworking industry.

IoT in Smart Cities: A Survey of Technologies, Practices and Challenges

Internet of Things (IoT) is a system that integrates different devices and technologies, removing the necessity of human intervention. This enables the capacity of having smart (or smarter) cities around the world. By hosting different technologies and allowing interactions between them, the internet of things has spearheaded the development of smart city systems for sustainable living, increased comfort and productivity for citizens. The IoT for Smart Cities has many different domains and draws upon various underlying systems for its operation. In this paper, we provide a holistic coverage of the Internet of Things in Smart Cities. We start by discussing the fundamental components that make up the IoT based Smart City landscape followed by the technologies that enable these domains to exist in terms of architectures utilized, networking technologies used as well as the Artificial Algorithms deployed in IoT based Smart City systems. This is then followed up by a review of the most prevalent practices and applications in various Smart City domains. Lastly, the challenges that deployment of IoT systems for smart cities encounter along with mitigation measures.