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; Nicholas C Zingale; 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
, Nicholas C Zingale
, Soumyajit Mandal
, Farhad Kaffashi
, Kenneth A. Loparo

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

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	English
Article number	9185283
Pages (from-to)	313-318
Number of pages	6
Journal	MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings
Volume	doi: 10.1109/MERCon50084.2020.9185283
DOIs	https://doi.org/10.1109/MERCon50084.2020.9185283
State	Published - Jul 1 2020
Event	6th International Multidisciplinary Moratuwa Engineering Research Conference, MERCon 2020 - Moratuwa, Sri Lanka Duration: Jul 28 2020 → Jul 30 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 11 Sustainable Cities and Communities

Keywords

Internet of Things (IoT)
pavement quality monitoring
Smart cities
transportation infrastructure

Access to Document

10.1109/MERCon50084.2020.9185283

Cite this

Nguyen, P., Rao, R., Brown, V., McConnell, M., Barendt, N. A., Zingale, N. C., Mandal, S., Kaffashi, F., & Loparo, K. A. (2020). A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities. MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings, doi: 10.1109/MERCon50084.2020.9185283, 313-318. Article 9185283. https://doi.org/10.1109/MERCon50084.2020.9185283

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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.",

keywords = "Internet of Things (IoT), pavement quality monitoring, Smart cities, transportation infrastructure",

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

year = "2020",

month = jul,

day = "1",

doi = "10.1109/MERCon50084.2020.9185283",

language = "English",

volume = "doi: 10.1109/MERCon50084.2020.9185283",

pages = "313--318",

journal = "MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings",

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note = "6th International Multidisciplinary Moratuwa Engineering Research Conference, MERCon 2020 ; Conference date: 28-07-2020 Through 30-07-2020",

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Nguyen, P, Rao, R, Brown, V, McConnell, M, Barendt, NA, Zingale, NC, Mandal, S, Kaffashi, F & Loparo, KA 2020, 'A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities', MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings, vol. doi: 10.1109/MERCon50084.2020.9185283, 9185283, pp. 313-318. https://doi.org/10.1109/MERCon50084.2020.9185283

A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities. / Nguyen, Phong; Rao, Raghav; Brown, Vincent et al.
In: MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings, Vol. doi: 10.1109/MERCon50084.2020.9185283, 9185283, 01.07.2020, p. 313-318.

Research output: Contribution to journal › Conference article › peer-review

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 - Zingale, Nicholas C

AU - Mandal, Soumyajit

AU - Kaffashi, Farhad

AU - Loparo, Kenneth A.

PY - 2020/7/1

Y1 - 2020/7/1

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.

KW - Internet of Things (IoT)

KW - pavement quality monitoring

KW - Smart cities

KW - transportation infrastructure

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JO - MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings

JF - MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings

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T2 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, MERCon 2020

Y2 - 28 July 2020 through 30 July 2020

ER -

Nguyen P, Rao R, Brown V, McConnell M, Barendt NA, Zingale NC et al. A Scalable Pavement Sensing, Data Analytics, and Visualization Platform for Lean Governance in Smart Communities. MERCon 2020 - 6th International Multidisciplinary Moratuwa Engineering Research Conference, Proceedings. 2020 Jul 1;doi: 10.1109/MERCon50084.2020.9185283:313-318. 9185283. doi: 10.1109/MERCon50084.2020.9185283

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

Abstract

UN SDGs

Keywords

Access to Document

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