Patterns of mobility in a smart city

Transportation data in smart cities is becoming increasingly available. This data allows building meaningful, intelligent solutions for city residents and city management authorities, the so-called Intelligent Transportation Systems. Our research focused on Lisbon mobility data, provided by Lisbon municipality. The main research objective was to address mobility problems, interdependence, and cascading effects solutions for the city of Lisbon. We developed a data-driven approach based on historical data with a strong focus on visualization methods and dashboard creation. Also, we applied a method based on time series to do prediction based on the traffic congestion data provided. A CRISP-DM approach was applied, integrating different data sources, using Python. Hence, understand traffic patterns, and help the city authorities in the decision-making process, namely more preparedness, adaptability, responsiveness to events.Os dados de transporte, no âmbito das cidades inteligentes, estão cada vez mais disponíveis. Estes dados permitem a construção de soluções inteligentes com impacto significativo na vida dos residentes e nos mecanismos das autoridades de gestão da cidade, os chamados Sistemas de Transporte Inteligentes. A nossa investigação incidiu sobre os dados de mobilidade urbana da cidade de Lisboa, disponibilizados pelo município. O principal objetivo da pesquisa foi abordar os problemas de mobilidade, interdependência e soluções de efeitos em cascata para a cidade de Lisboa. Para alcançar este objetivo foi desenvolvida uma metodologia baseada nos dados históricos do transito no centro urbano da cidade e principais acessos, com uma forte componente de visualização. Foi também aplicado um método baseado em series temporais para fazer a previsão das ocorrências de transito na cidade de Lisboa. Foi aplicada uma abordagem CRISP-DM, integrando diferentes fontes de dados, utilizando Python. Esta tese tem como objetivo identificar padrões de mobilidade urbana com análise e visualização de dados, de forma a auxiliar as autoridades municipais no processo de tomada de decisão, nomeadamente estar mais preparada, adaptada e responsiva

InSight2: An Interactive Web Based Platform for Modeling and Analysis of Large Scale Argus Network Flow Data

Monitoring systems are paramount to the proactive detection and mitigation of problems in computer networks related to performance and security. Degraded performance and compromised end-nodes can cost computer networks downtime, data loss and reputation. InSight2 is a platform that models, analyzes and visualizes large scale Argus network flow data using up-to-date geographical data, organizational information, and emerging threats. It is engineered to meet the needs of network administrators with flexibility and modularity in mind. Scalability is ensured by devising multi-core processing by implementing robust software architecture. Extendibility is achieved by enabling the end user to enrich flow records using additional user provided databases. Deployment is streamlined by providing an automated installation script. State-of-the-art visualizations are devised and presented in a secure, user friendly web interface giving greater insight about the network to the end user

A framework for dashboarding city performance : an application to Cascais smart city

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementThere has been a recent move to open up the data about the cities and transform it in indicators of interest to share with citizens through online, interactive data visualizations, often termed ‘city dashboards’. This project reflects on the building of dashboards mainly based on open data generated in the smart city context of Cascais. The main goal of these dashboards is to provide detailed information about city performance and trends, without citizens or the managers of the municipality needing to collect or learn how to handle data. These open data and dashboard initiatives are changing not only the relationship between government and the public, but also the way that the municipality is managed. The work begins with a literature review composed by a framework describing the characteristics of a smart city followed by an approach about the open data and a perspective about dashboards. Then, a benchmarking is presented as a means to select a series of indicators that can efficiently capture the performance of the smart city. These indicators will feed the dashboards that will permit to see Cascais as visualized facts, changing the way how managers and citizens know their municipality. The work also identifies the need of a graphic rules manual to follow up in future dashboards in order to achieve coherence in the public share of dashboards by the various departments of Cascais. The project ends with the presentation of a set of key indicators that describe the municipality in several dimensions and with an application case of the constructed dashboards to the open data portal of Cascais

Dashboards in smart city’s sustainability performance measurement through business intelligence

Project Work presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligencePeople’s concentration in urban areas is causing our society significant challenges because of a high populational density in mega-cities. These mega-cities cannot meet and balance their inhabitants’ needs, making it hard to develop an economy to increase their quality of life and improve cities’ surrounding environment and social communities. For cities to grow, considering the three pillars proposed by the sustainable development concept, which traces back to 1980 and supported by OECD, these cities building must meet today's society’s needs without risking future generations’ needs. Following the smart city concept means that decisions taken now must consider the impact on the economy, environment, and society altogether to avoid putting at risk the needs of today’s society, especially its future generations’ well-being. OECD expects this concept to change society’s view on its relationship with the world, hoping the community understands that our planet is an ecosystem that provides vital services. These critical services comprise food, clean water, oxygen, bacterial waste processing, citing a few, and conclude that its survival depends on the environment. The smart city concept aims to address these issues through the simultaneous management of these three pillars and is gaining strength with the latest technological development because it leverages information and communication technologies to collect data to monitor cities’ growth. Besides, smart cities can play a vital role in the world’s climate change by reducing carbon footprint and the usage of cities’ non-renewable energy sources while socially developing its communities and promoting equity between its inhabitants. However, for smart cities to realize all the benefits it proposes, the data collected must support informed decisions. This master project uses business intelligence methods, technologies, and tools to create a strategic performance dashboard using a correlational study based on data made available at European Commission’s Eurostat portal. Business performance management principles guide the strategic dashboard creation to monitor smart city strategic performance under the light of the triple bottom line concept

Data Science, Data Visualization, and Digital Twins

Real-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development

Communicating optimization results

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 76-79).With global supply chains becoming increasingly complex, leading companies are embracing optimization software tools to help them structure and coordinate their supply chains. With an array of choices available, many organizations opt for one of the numerous off-the-shelf products. Others choose instead to create their own bespoke optimization tools. While this custom approach affords greater versatility than a commercially available product, it also presents significant challenges to both the creators and users of the tool in terms of complexity. It can often be time-consuming and difficult for the users of the tool to understand and verify the results that are generated. If a decision-maker has difficulty understanding or trusting the output of a model, then the value of the tool is seriously diminished. This paper examines the challenges between the creators, or operational research engineers, and the end-users when deploying and executing complex optimization software in supply chain management. We examine the field of optimization modeling, communication methods involved, and relevant data visualization techniques. Then, we survey a group of users from our sponsoring company to gain insight to their experience using their tool. The general responses and associated crosstab analysis reveals that training and visualization are areas that have potential to improve the user's understanding of the tool, which in turn would lead to better communication between the end-users and the experts who build and maintain the tool. Finally, we present a section on current, cutting edge visualization techniques that can be adapted to influence the way a user visualizes the optimization results.by Drake Bailey and Daniel Skempton.M.Eng.in Logistic

Data Science and Knowledge Discovery

Data Science (DS) is gaining significant importance in the decision process due to a mix of various areas, including Computer Science, Machine Learning, Math and Statistics, domain/business knowledge, software development, and traditional research. In the business field, DS's application allows using scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured and unstructured data to support the decision process. After collecting the data, it is crucial to discover the knowledge. In this step, Knowledge Discovery (KD) tasks are used to create knowledge from structured and unstructured sources (e.g., text, data, and images). The output needs to be in a readable and interpretable format. It must represent knowledge in a manner that facilitates inferencing. KD is applied in several areas, such as education, health, accounting, energy, and public administration. This book includes fourteen excellent articles which discuss this trending topic and present innovative solutions to show the importance of Data Science and Knowledge Discovery to researchers, managers, industry, society, and other communities. The chapters address several topics like Data mining, Deep Learning, Data Visualization and Analytics, Semantic data, Geospatial and Spatio-Temporal Data, Data Augmentation and Text Mining

Beyond visualization : designing interfaces to contextualize geospatial data

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2013.Cataloged from PDF version of thesis.Includes bibliographical references (p. 71-74).The growing sensor data collections about our environment have the potential to drastically change our perception of the fragile world we live in. To make sense of such data, we commonly use visualization techniques, enabling public discourse and analysis. This thesis describes the design and implementation of a series of interactive systems that integrate geospatial sensor data visualization and terrain models with various user interface modalities in an educational context to support data analysis and knowledge building using part-digital, part-physical rendering. The main contribution of this thesis is a concrete application scenario and initial prototype of a "Designed Environment" where we can explore the relationship between the surface of Japan's islands, the tension that originates in the fault lines along the seafloor beneath its east coast, and the resulting natural disasters. The system is able to import geospatial data from a multitude of sources on the "Spatial Web", bringing us one step closer to a tangible "dashboard of the Earth."Samuel Luescher.S.M

FSEA 2014 – Proceedings of the AVI 2014 Workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces

It is with great pleasure that we welcome you to FSEA 2014, the AVI 2014 workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces. This workshop focuses on advanced interaction, interface, and visualization techniques for energy-related applications, tools, and services. It brings together researchers and practitioners from a diverse range of background, including interaction design, human-computer interaction, visualization, computer games, and other fields concerned with the development of advanced visual interfaces for smart energy applications. FSEA 2014 is the result of the efforts of many people involved in its organization, including our programme committee, and others who have assisted us in putting this workshop together