Enabling the Future Internet for Smart Cities

Enabling the Future Internet for Smart Cities

Research Themes

Management of Optical Architectures on the Support of the 5G Internet and Future Radio Access Networks

Team

Prof. Daniel Batista (batista@ime.usp.br)
Prof. Edmundo Roberto Mauro Madeira
Prof. Carlos Kamienski
Prof. Gustavo Bittencourt Figueiredo
Prof. Massimo Tornatore
Prof. Biswanath Mukherjee

Modeling and prediction of the evolution of bus line travel times for smart mobility

Bus transportation systems in metropolis, such as São Paulo, are complex systems that constantly interacts with city dynamics. Understanding the behavior of this system under different contexts, such as day of the week, time of the day and holidays is vital for a better planning of bus transportation systems. The objective of this project is to improve bus scheduling and travel time predictions using a novel graph-based model for bus travel time behavior under different contexts,

Team

Prof. Raphael Camargo (raphael.camargo@ufabc.edu.br) Prof. Renato Ishii
Prof. Daniel Cordeiro
Dr. Roberto Speicys

Sensing urban areas for monitoring and warning of natural disasters

The focus of this project is to take advantage of the Internet of Things in order to design solutions that obtain data from sensors distributed over smart cities. The sensors will be attached to trees and semaphores, send data using the Internet, and integrate a reactive system that will notify specific agents when necessary. Scaling this solutions for a big city like São Paulo can be troublesome bearing in mind 650 thousand trees only on the streets,

Team

Prof. Arlindo da Conceição (arlindo.conceicao@unifesp.br)
Prof. Álvaro Luiz Fazenda
Prof. Denise Stringhin

Prof. Alfredo Goldman
Dr. Antonio D. de Carvalho J.

Processamento de eventos complexos com modelagem semântica e tratamento de incerteza para aplicações de cidades inteligentes

Team

Prof. Rafael Lopes
Prof. Francisco J. Silva e Silva (fssilva@lsdi.ufma.br)
Prof. Markus Endler

Safety Management for Pedestrians in Urban Environments

The goal of our project is to build data-centric models that can be used to simulate interactions involving vehicle passengers, drivers and pedestrians, to assess safety related issues. As a concrete deliverable, we aim at the development of a tool to inform citizens about safety issues in different sites within a urban setting.

Team

Prof. Flavio S. C. Silva (fcs@ime.usp.br)
Prof. Julio Singer
Prof. Antonio Carlos
Prof. Paulo Miranda
Prof. Arlindo da Conceição
Prof. Stefania Bandini
Andrea Gorrini
Luca Crociani

InterSCity: A Scable Microservice-based Open Source Platform for Smart Cities

Future Smart Cities will gather the Internet of Things, Big Data, and Cloud Computing to enable novel solutions to enhance citizens’ experience within the city. In opposition to traditional approaches based on vertical silos and ad hoc solutions, integrated middleware platforms can provide an unified infrastructure to support sophisticated, cross-domain smart city applications.

Team

Prof. Claudio Luiz Marte
Prof. Alfredo Goldman
Prof. Fabio Kon (kon@ime.usp.br)
Prof. Markus Endler
Prof. Fabio Costa

PMSP

UNI: Infraestrutura de Rede Unificada

Team

Prof. Edmundo Madeira
Prof. Luiz Bittencourt
Prof. Alfredo Goldman
Prof. Fabio Kon
Prof. Otto Duarte (otto@gta.ufrj.br)

SOS: Sistema de Operação em Segurança

Team

Prof. Daniel Batista
Prof. Alfredo Goldman
Prof. Fabio Kon
Prof. Otto Duarte (otto@gta.ufrj.br)
Prof. Carlos Kamienski

Improving fog computing techniques to allow a better quality of experience in vehicular networks

Team

Prof. Edmundo Madeira (edmundo@ic.unicamp.br)
Prof. Luiz Bittencourt
Prof. Alfredo Goldman

OpenAir Museum: development, convergences and integration between Arquigrafia and Smart Audio City Guide

Team

Prof. Marco Aurélio Gerosa
Prof. Flavio Soares Correia
Prof. Artur Simões Rozestraten (artur.rozestraten@usp.br)

ContextNet SME: A Multisided Platform for IoT Service Matchmaking, Composition and Commoditization

Team

Prof. Markus Endler (endler@inf.puc-rio.br)
Prof. Alfredo Goldman
Prof. Francisco Silva e Silva
Prof. Marcelo Klötztle

Sensing in Smart Cities with Free-design Hardware

The focus of this project is to take advantage of the Internet of Things in order to design solutions that obtain data from sensors distributed over smart cities. The sensors will be attached to trees and semaphores, send data using the Internet, and integrate a reactive system that will notify specific agents when necessary. Scaling this solutions for a big city like São Paulo can be troublesome bearing in mind 650 thousand trees only on the streets, for example, but this challenge will have a great impact not only to the people’s life but also to the nature itself, indeed.

Team

Anne-Camille Le Corre
Oumeima El Isbihani
Janaina Silva
Lauana Oliveira
Antonio Deusany de Carvalho Junior
Giuliano Locosselli
Prof. Alfredo Goldman
Prof. Fabio Kon
Prof. Marcos Buckeridge

Big Data visualization for a Smart City Platform

Smart cities have led us to collect a huge amount of data every day. Interpret and extract some meaning about these data is a major issue to solve. Big data visualization techniques can be used to present the data in a graphical/visual way allowing one to grasp its characteristics or identify new patterns. Tallys’ research intends to develop a Big Data Visualization service integrated within InterSCity platform that will provide reusable visualization mechanisms to support the development of Smart Cities applications.

A Data Processing Service for Smart Cities

Smart city platforms needs to integrate a large volume of data from different sources that must be properly managed to produce valuable outcomes for cities. To provide reusable data processing services for several client applications, such platforms needs to use Big Data tools and techniques in both historical and real-time data processing. In this sense, smart city platforms must provide generic services and interfaces that allow different applications to meet data processing requirements in a scalable,

InterSCSimulator: A Scalable, Open Source Smart City Simulator

This research aims to develop an open-source, extensible, large-scale Traffic Simulator for Smart Cities developed in Erlang, called InterSCSimulator. The objective of InterSCSimulator is simulate complex Smart City scenarios with millions of agents using a real map of a large city and, in future versions, address other domains beyond traffic.

Team

Eduardo F.Z. Santana
Fabio Kon | site

Integrating scalable simulator and platform for smart cities

The concept of Smart Cities has been growing as well as several platforms to support such demand. However, testing these platforms in real environments is often infeasible. Lack of infrastructure, cost and political questions are some of the issues that are not simple to solve. A Smart City Simulator that is scalable and able to simulate the entire infrastructure and peculiarities of a city can facilitate this kind of test.

This research aims at integrating the InterSCity platform and the InterSCSimulator simulator as they have already been presented as highly scalable open source projects.

A Scalable Microservice-based Open Source Platform for Smart Cities

Despite the various advances in middleware technologies to support future smart cities, there are no universally accepted platforms yet. Most of the existing solutions do not provide the required flexibility to be shared across cities. Moreover, the extensive use and development of non-open-source software leads to interoperability issues and limits the collaboration among R&D groups. Arthur’s research explores the use of a microservices architecture to address key practical challenges in smart city platforms. More specifically,