Improved route planning and scheduling of waste collection and transport

Nuortio, Teemu; Kytöjoki, Jari; Niska, Harri; Bräysy, Olli

doi:10.1016/j.eswa.2005.07.009

Cited by 248 publications

(106 citation statements)

References 35 publications

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“…Arc routing is perhaps the more natural formulation as waste collections are normally made from most of the roads that comprise the network (Dror, 2000). It can also be modelled as a node routing problem where specific weights of waste are identified as collections at a number of specified points on the round (Nuortio et al, 2006). The shortest path route between the collection points is then determined, ideally traversing roads once whilst minimising the 'deadhead' mileage associated with crossing non-demand areas.…”

Section: Modelling Domestic Waste Collectionsmentioning

confidence: 99%

“…It is also noted that waste volumes may vary from week to week so the problem faced is stochastic in nature. The general approach for stochastic vehicle routing problems is to generate a least-cost, a priori, expected solution (Nuortio et al, 2006). This approach was adopted here, modelling average typical loads, as it was outside the scope of this study to consider how rounds would have to be adjusted in practice to handle seasonal variation.…”

Section: Data Collection and Preparationmentioning

confidence: 99%

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Quantifying the transport impacts of domestic waste collection strategies

McLeod

Cherrett

2008

Waste Management

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This paper models the effects of three different options for domestic waste collection using data from three Hampshire authorities: (i) joint working between neighbouring waste collection authorities; (ii) basing vehicles at waste disposal sites; (iii) alternate weekly collection of residual waste and dry recyclables. A vehicle mileage saving of 3% was modelled for joint working, where existing vehicle allocations to depots were maintained, which increased to 5.9% when vehicles were re-allocated to depots optimally. Vehicle mileage was reduced by 13.5% when the collection rounds were based out of the two waste disposal sites rather than out of the existing depots, suggesting that the former could be the most effective place to keep vehicles providing that travel arrangements for the crews could be made. Alternate weekly collection was modelled to reduce vehicle mileage by around 8% and time taken by 14%, when compared with a typical scenario of weekly collection of residual and fortnightly collection of recyclable waste. These results were based on an assumption that 20% of the residual waste would be directly diverted into the dry recyclables waste stream.

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Section: Modelling Domestic Waste Collectionsmentioning

confidence: 99%

Section: Data Collection and Preparationmentioning

confidence: 99%

Quantifying the transport impacts of domestic waste collection strategies

McLeod

Cherrett

2008

Waste Management

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“…As McLeod and Cherrett (2008) state, efficient waste collection strategies are not only vital from economic perspective, but also from an environmental perspective with reductions in emission and traffic congestions. The common approach to model the waste collection process is to use the VRP; see, for example, Chang and Wei (2002), Kim et al (2006), and Nuortio et al (2006). Nuortio et al (2006) propose a stochastic variant, because the amount of waste in the bins is highly variable.…”

Section: Related Workmentioning

confidence: 99%

“…The common approach to model the waste collection process is to use the VRP; see, for example, Chang and Wei (2002), Kim et al (2006), and Nuortio et al (2006). Nuortio et al (2006) propose a stochastic variant, because the amount of waste in the bins is highly variable. For solving the problem, they use a node routing approach.…”

Section: Related Workmentioning

confidence: 99%

Using Simulation to Assess the Opportunities of Dynamic Waste Collection

Mes

2012

Use Cases of Discrete Event Simulation

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“…This software algorithm could greatly increase the efficiency of the solid waste collection systems. Nuortio et al (2006) developed a system for the optimization of the waste collection process in a project in western Finland. In this operating zone, there were in total approximately 30,000 waste bins and explained the concept model of this system.…”

Section: Introductionmentioning

confidence: 99%

Design and implementation of a smart solid waste collection system

Çavdar

Koroglu

Akyildiz

2016

Int. J. Environ. Sci. Technol.

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Solid waste collection systems are very important in today's urban environment. The last three decades witnessed the development in urban areas over rural ones in a process called urbanization. Growth of urbanization is much more in developing countries than in the developed countries to the extent that it became a trend characterizing several developed and even least developed countries. Unfortunately, it has been observed that the systems currently used in modern cities do not provide a service of sufficient efficiency and quality, despite their high running costs. As an alternative, a smart solid waste collection system with all subcomponents was developed and applied in a small city in Turkey. In addition to the conventional waste collection systems, this system included smart features and optimization algorithms for route planning. The study presents the design philosophy, feasibility and pilot implementation of a smart solid waste collection system which can be operated with high efficiency at low cost.

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Improved route planning and scheduling of waste collection and transport

Cited by 248 publications

References 35 publications

Quantifying the transport impacts of domestic waste collection strategies

Quantifying the transport impacts of domestic waste collection strategies

Using Simulation to Assess the Opportunities of Dynamic Waste Collection

Design and implementation of a smart solid waste collection system

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