An Intelligent Waste Removal System for Smarter Communities

Qi Zhang, Hongyang Li, Xin Wan, Martin Skitmore and Hailin Sun
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Qi Zhang: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
Hongyang Li: School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510641, China
Xin Wan: Business School, 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
Hailin Sun: Institute for Social Governance and Development, Tsinghua University, Beijing 100084, China

Sustainability, 2020, vol. 12, issue 17, 1-27

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.

Keywords: RRT algorithm; ROS operating system; intelligent waste removal; smart community (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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