CYAIDCHCIRNIDec 2, 2019

Computação Urbana da Teoria à Prática: Fundamentos, Aplicações e Desafios

arXiv:1912.05662v13 citationsHas Code
Originality Synthesis-oriented
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It provides a foundational overview for researchers and practitioners in urban computing, but is incremental as it synthesizes existing knowledge rather than presenting new results.

This chapter addresses the challenges of urban growth by introducing Urban Computing as a paradigm to extract knowledge from heterogeneous urban data, aiming to improve citizens' quality of life through services like energy management and urban mobility.

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?

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Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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