Open AccessIncreasing Efficiency of IoT-enabled Waste Collectionwith Controlled Mobility of Robotic Bins
Publication year - 2020
Publication title -
international journal of applied mathematics and informatics
Language(s) - English
Resource type - Journals
ISSN - 2074-1278
DOI - 10.46300/91014.2020.14.6
Subject(s) - waste collection , robot , data collection , internet of things , population , bin , computer science , saint petersburg , waste management , environmental economics , engineering , business , artificial intelligence , municipal solid waste , world wide web , mathematics , sociology , demography , russian federation , algorithm , economic policy , statistics , economics
Smart Cities cater for ever increasing population, which needs sustainable solutions for efficient wellbeing. Waste collection is significant for providing a green ecosystem in such cities. IoT-enabled waste collection solutions assist such a green ecosystem. Waste collection used to be performed by humans or via human intervention.However, contemporary research incorporates robots to perform waste collection. In this paper we describethe real case of a line following robot bin that assists waste collection in the Smart City of Saint Petersburg, Russia. Evaluation is performed through a model combining the distance covered by the actor, the time passed for the collection and the bins emptied. The results show the superiority of robot bins, compared to human workers, highlighting the impact of IoT-enabled robot assisted waste collection as part of a green ecosystem