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Considering Congestion Costs and Driver Behaviour into Route Optimisation Algorithms in Smart Cities

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Smart Cities (Smart-CT 2017)

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Abstract

Congestion costs have been excluded from the study of traditional vehicle routing problems until very recently. However, with our urban areas experiencing higher levels of traffic congestion, with the increase in on-demand deliveries, and with the growth of intelligent transport systems and smart cities, researchers are raising awareness on the impact that traffic congestion and driver behaviour has for urban logistics. This paper studies the evolution of the vehicle routing problem, focusing on how traffic congestion costs and driver behaviour effects have been considered so far, and analysing how the research community has to deal with this challenge.

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Acknowledgments

This work has been partially supported by the Spanish Ministry of Economy and Competitiveness (TRA2013-48180-C3-P and TRA2015-71883-REDT), FEDER, and the Ibero-American Program for Science and Technology for Development (CYTED2014-515RT0489).

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Correspondence to Pablo Alvarez .

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Alvarez, P., Lerga, I., Serrano, A., Faulin, J. (2017). Considering Congestion Costs and Driver Behaviour into Route Optimisation Algorithms in Smart Cities. In: Alba, E., Chicano, F., Luque, G. (eds) Smart Cities. Smart-CT 2017. Lecture Notes in Computer Science(), vol 10268. Springer, Cham. https://doi.org/10.1007/978-3-319-59513-9_5

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  • DOI: https://doi.org/10.1007/978-3-319-59513-9_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59512-2

  • Online ISBN: 978-3-319-59513-9

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