Planning of smart cities: Performance improvement using big data analytics approach

BHAGYA NATHALI, SILVA and CHANGSU, JUNG and JEONGYUN, KANG and JIHUN, SEO and JINBAE, KIM and KIJUN, HAN and MURAD, KHAN and SEUNGPYO, JIN and YONGTAK, YOON (2016) Planning of smart cities: Performance improvement using big data analytics approach. In: Fourth International Conference on Advances in Computing, Electronics and Communication - ACEC 2016, 15-16 December 2016, Rome, Italy.

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Abstract

The concept of smart city is widely favored, as it enhances the quality of urban citizens’ life, involving multiple disciplines. Consequent to the complex urban networks, data processing complexity has increased significantly. Thus, it creates a crucial demand to facilitate autonomous decision-making and real-time data processing and analysis of smart cities. Therefore, in this paper we propose a smart city framework based on Big Data analytics. The proposed framework operates in three levels 1) Data generation and acquisition level, 2) Data management and processing level, and 3) Application level. Moreover, we analyzed the water consumption, traffic congestion, and air pollution data of Surrey (Canada) and Aarhus (Denmark) cities to determine the threshold values for data filtering. The analysis shows that the proposed architecture offers useful insights to the community development authorities to improve the existing smart city architecture.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Smart city, big data, urban planning.
Depositing User: Mr. John Steve
Date Deposited: 18 Mar 2019 11:08
Last Modified: 18 Mar 2019 11:08
URI: http://publications.theired.org/id/eprint/630

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