Community Sensor Network for Monitoring Road Roughness Using Smartphones-Reference-Cited by-同舟云学术

Community Sensor Network for Monitoring Road Roughness Using Smartphones

Published:2017-05 Issue:3 Volume:31 Page:04016059
ISSN:0887-3801
Container-title:Journal of Computing in Civil Engineering
language:en
Short-container-title:J. Comput. Civ. Eng.

Author:

Kumar Rajiv¹,Mukherjee Abhijit²^ORCID,Singh V. P.³

Affiliation:

1. Assistant Professor, Punjab Institute of Management and Technology, Mandi Gobindgarh, Punjab 147301, India.

2. Professor, Dept. of Civil Engineering, Curtin Univ., Bentley, WA 6102, Australia (corresponding author). ORCID: E-mail:

3. Assistant Professor, Thapar Univ., Patiala, Punjab 147004, India.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Computer Science Applications,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29CP.1943-5487.0000624

Reference35 articles.

1. Alessandroni G. et al. (2014). “SmartRoadSense: Collaborative road surface condition monitoring.” Proc. UBICOMM-2014 International Academy Research and Industry Association (IARIA) Wilmington DE 210–215.

2. Annual Report. (2015). “Ministry of road transport and highways India.” ⟨http://morth.nic.in/showfile.asp?lid=1656⟩ (Nov. 19 2015).

3. AP. (2016). “Aptoide-Android apps store.” ⟨http://www.aptoide.com/⟩ (May 3 2016).

4. ASTM. (2015). “Standard practice for computing international roughness index of roads from longitudinal profile measurements.” E1926–08 West Conshohocken PA.

5. AustRoads. (2011). “Pavement roughness measurement with an inertial laser profilometer.” Austroads Test Method AG:AM/T001 Sydney NSW Australia.

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