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An Intelligent Waste Removal System for Smarter Communities

Author

Listed:
  • Qi Zhang

    (School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
    Institute for Social Governance and Development, Tsinghua University, Beijing 100084, China)

  • Hongyang Li

    (School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
    Business School, Hohai University, Nanjing 211100, China
    State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China)

  • Xin Wan

    (Business School, Hohai University, Nanjing 211100, China
    Institute of Engineering Management, Hohai University, Nanjing 211100, China)

  • Martin Skitmore

    (School of Built Environment, Queensland University of Technology (QUT), Garden Point Campus, GPO Box 2434, Brisbane Q4001, Australia
    Faculty of Architecture, Planning and Surveying, Universiti Teknologi Mara (UiTM), SRI Iskandar Campus, Perak 32610, Malaysia)

  • Hailin Sun

    (Institute for Social Governance and Development, Tsinghua University, Beijing 100084, China)

Abstract

With the continuous progress of urbanization, the discharge of municipal solid waste has profoundly affected human production/living and social ecological health, and waste disposal has become one of the key issues all over the world. In the context of intelligent technology, this paper innovates the way of waste disposal according to the development direction of a smart city and the requirement of sustainable development strategy. An intelligent urban waste removal system is developed using a ROS (Route Operation System) robot operating system and RRT (Rapid Exploration of Random Trees) path planning algorithm. With a background of data management, the entire process of intelligent automatic waste removal is triggered by automatic communication from individual waste bins to a waste collection vehicle (WCV) where the bin needs to be emptied, and the automatic collection and transportation by the WCV in response. In combination with the IoT (Internet of Things), the system provides scientific data support for the intelligent layout of communities and even urban waste bins to greatly enhance the development of intelligence communities and smart cities.

Suggested Citation

  • Qi Zhang & Hongyang Li & Xin Wan & Martin Skitmore & Hailin Sun, 2020. "An Intelligent Waste Removal System for Smarter Communities," Sustainability, MDPI, vol. 12(17), pages 1-27, August.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:6829-:d:402747
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