Computa\c{c}\~ao Urbana da Teoria \`a Pr\'atica: Fundamentos, Aplica\c{c}\~oes e Desafios

TL;DR

Urban Computing leverages heterogeneous urban data to address city challenges like pollution and mobility, aiming to improve urban life through knowledge extraction and service development.

Contribution

This paper presents fundamental concepts, development steps, and challenges of Urban Computing, highlighting key research problems, technological hurdles, methodologies, and applications.

Findings

Identifies main research problems in Urban Computing

Discusses technological challenges for urban service implementation

Reviews key methodologies and applications in the field

Abstract

The growing of cities has resulted in innumerable technical and managerial challenges for public administrators such as energy consumption, pollution, urban mobility and even supervision of private and public spaces in an appropriate way. Urban Computing emerges as a promising paradigm to solve such challenges, through the extraction of knowledge, from a large amount of heterogeneous data existing in urban space. Moreover, Urban Computing correlates urban sensing, data management, and analysis to provide services that have the potential to improve the quality of life of the citizens of large urban centers. Consider this context, this chapter aims to present the fundamentals of Urban Computing and the steps necessary to develop an application in this area. To achieve this goal, the following questions will be investigated, namely: (i) What are the main research problems of Urban Computing?; (ii) What are the technological challenges for the implementation of services in Urban Computing?; (iii) What are the main methodologies used for the development of services in Urban Computing?; and (iv) What are the representative applications in this field?