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

Authors

Phong Nguyen
Raghav Rao
Vincent Brown
Matthew McConnell
Nicholas A. Barendt
Nicholas C. Zingale
Soumyajit Mandal
Farhad Kaffashi
Kenneth A. Loparo

Document Type

Conference Paper

Publication Date

7-28-2020

Publication Title

2020 Moratuwa Engineering Research Conference (MERCon) Proceedings

Abstract

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.

Comments

Published in: 2020 Moratuwa Engineering Research Conference (MERCon)

Repository Citation

Nguyen, Phong; Rao, Raghav; Brown, Vincent; McConnell, Matthew; Barendt, Nicholas A.; Zingale, Nicholas C.; Mandal, Soumyajit; Kaffashi, Farhad; and Loparo, Kenneth A., "A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities" (2020). All Maxine Goodman Levin School of Urban Affairs Publications. 0 1 2 3 1699.
https://engagedscholarship.csuohio.edu/urban_facpub/1699

Original Citation

P. Nguyen et al., "A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities," 2020 Moratuwa Engineering Research Conference (MERCon), Moratuwa, Sri Lanka, 2020, pp. 313-318, doi: 10.1109/MERCon50084.2020.9185283.

DOI

10.1109/MERCon50084.2020.9185283