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Article

An Intelligent Waste Removal System for Smarter Communities

by 1,2, 1,3,4,*, 3,5, 6,7 and 2,*
1
School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
2
Institute for Social Governance and Development, Tsinghua University, Beijing 100084, China
3
Business School, Hohai University, Nanjing 211100, China
4
State Key Laboratory of Subtropical Building Science, South China University of Technology, Guangzhou 510641, China
5
Institute of Engineering Management, Hohai University, Nanjing 211100, China
6
School of Built Environment, Queensland University of Technology (QUT), Garden Point Campus, GPO Box 2434, Brisbane Q4001, Australia
7
Faculty of Architecture, Planning and Surveying, Universiti Teknologi Mara (UiTM), SRI Iskandar Campus, Perak 32610, Malaysia
*
Authors to whom correspondence should be addressed.
Sustainability 2020, 12(17), 6829; https://doi.org/10.3390/su12176829
Received: 5 August 2020 / Revised: 18 August 2020 / Accepted: 18 August 2020 / Published: 22 August 2020
(This article belongs to the Section Sustainable Engineering and Science)
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. View Full-Text
Keywords: RRT algorithm; ROS operating system; intelligent waste removal; smart community RRT algorithm; ROS operating system; intelligent waste removal; smart community
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MDPI and ACS Style

Zhang, Q.; Li, H.; Wan, X.; Skitmore, M.; Sun, H. An Intelligent Waste Removal System for Smarter Communities. Sustainability 2020, 12, 6829. https://doi.org/10.3390/su12176829

AMA Style

Zhang Q, Li H, Wan X, Skitmore M, Sun H. An Intelligent Waste Removal System for Smarter Communities. Sustainability. 2020; 12(17):6829. https://doi.org/10.3390/su12176829

Chicago/Turabian Style

Zhang, Qi, Hongyang Li, Xin Wan, Martin Skitmore, and Hailin Sun. 2020. "An Intelligent Waste Removal System for Smarter Communities" Sustainability 12, no. 17: 6829. https://doi.org/10.3390/su12176829

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