Smart and Green Urban Solid Waste Collection Systems: Advances, Challenges, and Perspectives

Lu, Jia-Wei; Chang, Ni‐Bin; Liao, Li; Liao, Mengying

doi:10.1109/jsyst.2015.2469544

Cited by 58 publications

(24 citation statements)

References 66 publications

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“…A review of the literature on the optimization of waste collection and vehicle routing is presented in Reference [41]. To conclude the idea, a multirestricted and multicompartmental routing problem is proposed that, through modeling using container scheduling strategies in a decision making process, produces results that indicate that the differentiated collection has the potential to search the best routing strategies with lower collection costs, which ensures that advances in optimization strategies can present intelligent and ecological solutions.…”

Section: Solid Waste Managementmentioning

confidence: 99%

“…Dynamic Scheduling Dynamic Routing Experimental Data [35] Not defined Not defined Simulator [36] Defined Defined Simulator [37] Defined Defined Simulator [38] Not defined Not defined Simulator [39] Defined Defined Simulator [40] Not defined Not defined Simulator [41] Not defined Not defined Simulator [42] Not defined Not defined Simulator [43] Not defined Not defined Simulator [44] Not defined Not defined Real [45] Defined Defined Simulator [46] Defined Defined Simulator [47] Not defined Not defined Simulator [48] Defined Defined Simulator [49] Defined Defined Simulator…”

Section: Refmentioning

confidence: 99%

See 1 more Smart Citation

IoT-Based Solid Waste Management Solutions: A Survey

Pardini

Rodrigues

Kozlov

et al. 2019

JSAN

146

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With the increase of population density and the rural exodus to cities, urbanization is assuming extreme proportions and presents a tremendous urban problem related to waste generation. The increase of waste generation has been considered a significant challenge to large urban centers worldwide and represents a critical issue for countries with accelerated population growth in cities. The Internet of Things (IoT) and cloud computing offer an automation possibility through cyberphysical systems that will change the way solid waste management is performed. Considering IoT requirements, a review analysis of waste management models available in the literature is performed in detail in this paper. Then, a deep review is undertaken of the related literature based on IoT infrastructure for efficient handling of waste generated in urban scenarios, focusing on the interaction among concessionaires and waste generators (citizens) from the perspective of a shorter collection time with reduced costs, as well as citizenship promotion. An IoT-based reference model is described, and a comparison analysis of the available solutions is presented, with the goal to highlight the most relevant approaches and identify open research issues on the topic.

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Section: Solid Waste Managementmentioning

confidence: 99%

Section: Refmentioning

confidence: 99%

IoT-Based Solid Waste Management Solutions: A Survey

Pardini

Rodrigues

Kozlov

et al. 2019

JSAN

146

View full text Add to dashboard Cite

show abstract

“…Wang et al [29] quantitatively evaluated economic and environmental performance of an integrated MSW treatment center in Inner Mongolia province, China. Lu et al [30] searched for the most cost-effective and environmentally benign solutions for an MSW collection scheme system in Shenzhen, China.…”

Section: Research On Sustainable Development In Msw Collectionmentioning

confidence: 99%

Optimization of a Capacitated Vehicle Routing Problem for Sustainable Municipal Solid Waste Collection Management Using the PSO-TS Algorithm

Qiao

Tao

et al. 2020

IJERPH

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Sustainable management of municipal solid waste (MSW) collection has been of increasing concern in terms of its economic, environmental, and social impacts in recent years. Current literature frequently studies economic and environmental dimensions, but rarely focuses on social aspects, let alone an analysis of the combination of the three abovementioned aspects. This paper considers the three benefits simultaneously, aiming at facilitating decision-making for a comprehensive solution to the capacitated vehicle routing problem in the MSW collection system, where the number and location of vehicles, depots, and disposal facilities are predetermined beforehand. Besides the traditional concerns of economic costs, this paper considers environmental issues correlated to the carbon emissions generated from burning fossil fuels, and evaluates social benefits by penalty costs which are derived from imbalanced trip assignments for disposal facilities. Then, the optimization model is proposed to minimize system costs composed of fixed costs of vehicles, fuel consumption costs, carbon emissions costs, and penalty costs. Two meta-heuristic algorithms, particle swarm optimization (PSO) and tabu search (TS), are adopted for a two-phase algorithm to obtain an efficient solution for the proposed model. A balanced solution is acquired and the results suggest a compromise between economic, environmental, and social benefits.

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“…They also integrate the sensing system and using the ultrasonic sensor and load cell for the purpose of automatic status of dustbin monitoring system [3]. In 2015,Jia-Wei,Ni-Bin Chang,Li Liao,Meng-Ying Liao they proposed a separate garbage collection of out form and co-collection with the real life instance happen in muliconstraints they also developed smart and green urban waste collection system [4]. In 2017,Trushali S.Vasagade,Shabanam S.Tamboli,Archana D.Shinde proposed a system in which best suitable concept they implemented and also provides solution for the biggest issues for managing the solid waste in a proper way and collecting and cleaning the waste thrown to outside the dustbin.…”

Section: Literature Reviewmentioning

confidence: 99%

IoT Based Solid Waste Management System using Arduino Mega

Satkar*¹,

Sardey²

2019

IJRTE

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Abstract: Solid waste management is one of the major concerns now a day and they are very harmful to environment. The Municipal Corporation places the common dustbin at various places in the city which are flooded with waste, which leads to unhygienic conditions in the areas which they are place and causes discomfort to the Citizens. We here propose an IoT Based system to overcome this problem. The Propose system consists of Arduino Controller, few garbage loaded sensors, gases sensor and they are continuously monitored through web page This sensors will be embedded throughout the dustbin to check the level of the dustbin, the device will monitor the real time data and continuously show real time value on LCD display.

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Smart and Green Urban Solid Waste Collection Systems: Advances, Challenges, and Perspectives

Cited by 58 publications

References 66 publications

IoT-Based Solid Waste Management Solutions: A Survey

IoT-Based Solid Waste Management Solutions: A Survey

Optimization of a Capacitated Vehicle Routing Problem for Sustainable Municipal Solid Waste Collection Management Using the PSO-TS Algorithm

IoT Based Solid Waste Management System using Arduino Mega

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