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

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

doi:10.1109/MERCon50084.2020.9185283

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

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

Research output: Contribution to journal › Article › peer-review

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.

Original language	American English
Journal	2020 Moratuwa Engineering Research Conference (MERCon) Proceedings
DOIs	https://doi.org/10.1109/MERCon50084.2020.9185283
State	Published - Jul 28 2020
Externally published	Yes

Disciplines

Urban Studies and Planning

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10.1109/MERCon50084.2020.9185283License: CC BY

https://ieeexplore.ieee.org/document/9185283

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

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.",

author = "Phong Nguyen and Raghav Rao and Vincent Brown and Matthew McConnell and Barendt, \{Nicholas A\} and Soumyajit Mandal and Farhad Kaffashi and Loparo, \{Kenneth A\}",

note = "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.",

year = "2020",

month = jul,

day = "28",

doi = "10.1109/MERCon50084.2020.9185283",

language = "American English",

journal = "2020 Moratuwa Engineering Research Conference (MERCon) Proceedings",

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TY - JOUR

T1 - A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities

AU - Nguyen, Phong

AU - Rao, Raghav

AU - Brown, Vincent

AU - McConnell, Matthew

AU - Barendt, Nicholas A

AU - Mandal, Soumyajit

AU - Kaffashi, Farhad

AU - Loparo, Kenneth A

N1 - 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.

PY - 2020/7/28

Y1 - 2020/7/28

N2 - 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.

AB - 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.

UR - https://engagedscholarship.csuohio.edu/urban_facpub/1699

UR - https://ieeexplore.ieee.org/document/9185283

U2 - 10.1109/MERCon50084.2020.9185283

DO - 10.1109/MERCon50084.2020.9185283

M3 - Article

JO - 2020 Moratuwa Engineering Research Conference (MERCon) Proceedings

JF - 2020 Moratuwa Engineering Research Conference (MERCon) Proceedings

ER -

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

Abstract

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