DYNAMIC DATA DRIVEN APPLICATION SYSTEMS FOR SMART CITIES AND URBAN INFRASTRUCTURES

被引：0

作者：

Fujimoto, Richard M. ^{[1
]}

Celik, Nurcin ^{[2
]}

Damgacioglu, Haluk ^{[2
]}

Hunter, Michael ^{[3
]}

Jin, Dong ^{[4
]}

Son, Young-Jun ^{[5
]}

Xu, Jie ^{[6
]}

机构：

[1] Georgia Inst Technol, Sch Computat Sci & Engn, Atlanta, GA 30332 USA

[2] Univ Miami, Dept Ind Engn, Coral Gables, FL 33146 USA

[3] Georgia Inst Technol, Sch Civil & Environm Engn, Atlanta, GA 30332 USA

[4] Illinois Inst Technol, Dept Comp Sci, 10 W 31st St, Chicago, IL 60616 USA

[5] Univ Arizona, Syst & Ind Engn, 1127 E James E Rogers Way, Tucson, AZ 85721 USA

[6] George Mason Univ, Syst Engn & Operat Res, 4400 Univ Dr,MS 4A6, Fairfax, VA 22030 USA

来源：

2016 WINTER SIMULATION CONFERENCE (WSC) | 2016年

关键词：

SIMULATION FRAMEWORK; OPTIMIZATION; GENERATION; STORAGE; PV;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

The smart cities vision relies on the use of information and communication technologies to efficiently manage and maximize the utility of urban infrastructures and municipal services in order to improve the quality of life of its inhabitants. Many aspects of smart cities are dynamic data driven application systems (DDDAS) where data from sensors monitoring the system are used to drive computations that in turn can dynamically adapt and improve the monitoring process as the city evolves. Several leading DDDAS researchers offer their views concerning the DDDAS paradigm applied to realizing smart cities and outline research challenges that lie ahead.

引用

页码：1143 / 1157

页数：15

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