Efficient Waste Transportation and Recycling: Enabling technologies for smart cities using the Internet of Things

Mahmood, Imran; Zubairi, Junaid Ahmed

doi:10.1109/mele.2019.2925761

Cited by 18 publications

(10 citation statements)

References 4 publications

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“…According to the South African legislative provision, the municipality is responsible for solid waste management [78]. This agrees with literature from developed or emerging economies, such as Indonesia [79], Ghana [80], Colombia [81], Turkey ( [82], South Africa [52], USA [83] and the United Kingdom [84] among others where the municipal truck is the main collector of waste, but the difference is the frequency and efficiency. The finding of this study, where residents indicated that municipal truck comes to remove their wastes, confirms what the literature indicates.…”

Section: Discussion Of Findingssupporting

confidence: 71%

An Investigation of Waste Management Practice in a South African Township: A Case Study of Ekuphumleni Township, Ndlambe Municipality

Adeniran¹,

Motsatsi²,

Mbanga³

et al. 2022

Solid Waste Management - Recent Advances, New Trends and Applications

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Solid waste is a global challenge that is more pronounced in developing countries such as South Africa, where its management is a major concern. The government has recently made a concerted effort to engage the public in sustainable waste management practices to resolve the crisis occasioned by the challenge. This chapter investigates waste management practices in the South African Township of Ekuphumleni and relied on a sample of 353 households to obtain some primary data with a questionnaire on the subject matter. The data collected was analyzed using “R,” and the results were presented using charts, tables, and figures. Data collected revealed that waste paper, cans, used plastics, and bottles were major waste components generated by the respondents and these wastes were generally stored unseparated domestically in plastic bags and home garbage can. Furthermore, the respondent indicated that the municipality does a door-to-door collection of their waste and they were unwilling to pay for waste collection services. While the waste management practice is in tandem with the municipal system, the study recommends that the respondents must be educated on circularity, which will ensure reducing, reusing, recycling, and recovering waste and further aid economic empowerment.

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Section: Discussion Of Findingssupporting

confidence: 71%

An Investigation of Waste Management Practice in a South African Township: A Case Study of Ekuphumleni Township, Ndlambe Municipality

Adeniran¹,

Motsatsi²,

Mbanga³

et al. 2022

Solid Waste Management - Recent Advances, New Trends and Applications

View full text Add to dashboard Cite

show abstract

“…It also plays a major role in sustaining the healthier and good economy of a smart city. The authors in [200] surveyed the traditional methods of waste management systems and proposed multiple approaches to make the dumping and recycling procedures economical and efficient. The researcher in [201], [206] proposed an IoT empowered waste collection system.…”

Section: Fig 20: Vehicle To Everything (V2x)mentioning

confidence: 99%

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

Javed

Shahzad

Rehman

et al. 2022

Cities

317

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“…Some studies focus on introducing emerging technologies, such as the Internet of Things (IoT), deep learning, and GIS technology. Mahmood and Zubairi [ 16 ] integrated the scheduling problem into the infrastructure of smart cities to guide the transportation route of garbage vehicles. Using the IoT technology to achieve the scheduling of garbage vehicles requires high coverage of urban infrastructure, which largely tests the level of urban infrastructure.…”

Section: Literature Reviewmentioning

confidence: 99%

A Cross-Regional Scheduling Strategy of Waste Collection and Transportation Based on an Improved Hierarchical Agglomerative Clustering Algorithm

Wei

Liang

Tang

2022

Computational Intelligence and Neuroscience

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The disposal of municipal solid waste (MSW) is based on the divide-regional operation model at present, which brings management convenience. However, due to the constraints of the division between the operating regions, there are problems such as inflexible vehicle scheduling and low efficiency. Changing this mode will put pressure on management. It is necessary to break the constraint of the region and form a fully automatic operating scheme without too much manual management. First, the initial clusters are formed by considering the distance in the initial allocation module. Secondly, through the type labeling and reallocation module, the single big data set is transformed into multiple small data sets by considering the allocated amount of garbage and the carrying capacity of garbage vehicles. Then, this work proposes the improved hierarchical agglomerative clustering (IHAC) algorithm and the garbage collecting path planning (GCPP) algorithm to realize the intelligent allocation of waste and scheduling route planning of garbage vehicles. Finally, through simulation by real example and comparative analysis, the advantages of the proposed scheme are discussed. The results show that the proposed scheme is more effective than the original scheme and other advanced methods, which can provide decision support for the scientific and intelligent collection and transportation of MSW.

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Efficient Waste Transportation and Recycling: Enabling technologies for smart cities using the Internet of Things

Cited by 18 publications

References 4 publications

An Investigation of Waste Management Practice in a South African Township: A Case Study of Ekuphumleni Township, Ndlambe Municipality

An Investigation of Waste Management Practice in a South African Township: A Case Study of Ekuphumleni Township, Ndlambe Municipality

Future smart cities: requirements, emerging technologies, applications, challenges, and future aspects

A Cross-Regional Scheduling Strategy of Waste Collection and Transportation Based on an Improved Hierarchical Agglomerative Clustering Algorithm

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