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Arc Routing with Precedence Constraints: An Application to Snow Plowing Operations

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Computational Logistics (ICCL 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10572))

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Abstract

In this paper we present an arc routing problem with precedence constraints, with a focus on its application to snow plowing operations in Norway. The problem studied considers the clearing of snow from a network of roads, where there exists precedence relations between the driving lanes and the sidewalks. The goal is to minimize the total time it takes for a heterogeneous fleet of vehicles to clear all the snow from the road network. We describe a mathematical model of the problem and present symmetry breaking constraints to improve the computational performance. We present a computational study where the performance of the model is tested. Further, we study the effect of forbidding or penalizing U-turns along the route, something the snow plowing vehicles struggle to do. The computational experiments show that it is possible to generate solutions without U-turns with only a marginal increase in the objective value.

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References

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Correspondence to Magnus Stålhane .

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Gundersen, A.H., Johansen, M., Kjær, B.S., Andersson, H., Stålhane, M. (2017). Arc Routing with Precedence Constraints: An Application to Snow Plowing Operations. In: Bektaş, T., Coniglio, S., Martinez-Sykora, A., Voß, S. (eds) Computational Logistics. ICCL 2017. Lecture Notes in Computer Science(), vol 10572. Springer, Cham. https://doi.org/10.1007/978-3-319-68496-3_12

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  • DOI: https://doi.org/10.1007/978-3-319-68496-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68495-6

  • Online ISBN: 978-3-319-68496-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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