A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities

被引：0

作者：

Nguyen, Phong ^{[1
]}

Rao, Raghav ^{[1
]}

Brown, Vincent ^{[2
]}

McConnell, Matthew ^{[1
]}

Barendt, Nicholas A. ^{[1
]}

Zingale, Nicholas C. ^{[3
]}

Mandal, Soumyajit ^{[4
]}

Kaffashi, Farhad ^{[1
]}

Loparo, Kenneth A. ^{[1
]}

机构：

[1] Case Western Reserve Univ, Elect Comp & Syst Engn, Cleveland, OH 44106 USA

[2] Hawken Sch, Gates Mills, OH USA

[3] Cleveland State Univ, Levin Coll Urban Affairs, Cleveland, OH 44115 USA

[4] Univ Florida, Elect & Comp Engn, Gainesville, FL USA

来源：

MERCON 2020: 6TH INTERNATIONAL MULTIDISCIPLINARY MORATUWA ENGINEERING RESEARCH CONFERENCE (MERCON) | 2020年

关键词：

Smart cities; pavement quality monitoring; transportation infrastructure; Internet of Things (IoT); ROAD SURFACE QUALITY; GOVERNMENT;

D O I：

10.1109/mercon50084.2020.9185283

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

The paper describes the design and validation of a low-cost platform for automated roadway quality monitoring based on the collection of inertial measurement unit (IMU) and location data from a vehicle-mounted sensor platform. Data was collected from field experiments on a service vehicle owned by the city of Lakewood, OH, USA to demonstrate the feasibility and scalability of the proposed monitoring approach. Analysis and visualization of the acquired data indicates how such a platform can be used to assist city service personnel in the daunting task of maintaining ageing civil infrastructure in urban communities.

引用

页码：313 / 318

页数：6

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