Big Data Analysis for Retrofit Projects in Smart Cities

被引：6

作者：

Xie, Haiyan ^{[1
]}

Shi, Wei ^{[1
]}

Choudhary, Harshit ^{[1
]}

Fu, Hanliang ^{[2
]}

Guo, Xiaotong ^{[2
]}

机构：

[1] Illinois State Univ, Dept Technol, Normal, IL 61761 USA

[2] Xian Univ Architecture & Technol, Dept Engn Management, Xian, Peoples R China

来源：

2019 3RD INTERNATIONAL CONFERENCE ON SMART GRID AND SMART CITIES (ICSGSC 2019) | 2019年

关键词：

Big Data; IoT; Smart City; Smart Grid; Traffic Congestion; TRENDS;

D O I：

10.1109/ICSGSC.2019.00-28

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper aims to study the potential of using Big Data Analytics (BDA) in smart cities. Based on case studies, this paper scrutinizes the situations when decision makers implement BDA as a tool for smart cities. The paper studies how Internet of Things, Machine to machine, Big Data and Smart Cities Linkages can help to predict and satisfy the needs of retrofitting projects. The paper includes various pilot projects currently undergoing for making cities smarter along with benefits and limitations when converting the functions of existing facilities. With the focuses of two main areas - Smart Grid and Traffic Congestion Management, this paper makes suggestions on the application guidelines of BDA in retrofit projects for decision makers and city planners. It helps designers and engineers to consider various challenges encountered while implementing Big Data solutions in smart cities.

引用

页码：1 / 5

页数：5

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