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http://hdl.handle.net/10609/91515
Title: | A simheuristic approach for freight transportation in smart cities |
Author: | Reyes-Rubiano, Lorena Silvana Calvet Liñán, Laura Faulin, Javier Juan, Angel A. |
Citation: | Reyes, L., Calvet, L., Faulin, J. & Juan, A. (2017). A Simheuristic Approach for Freight Transportation in Smart Cities. Winter Simulation Conference (WSC). Proceedings, 2017() 3346-3357. doi: 10.1109/WSC.2017.8248051 |
Abstract: | In modern society, sustainable transportation practices in smart cities are becoming increasingly important for both companies and citizens. These practices constitute a global trend, which affects multiple sectors resulting in relevant socio-economic and environmental challenges. Moreover, uncertainty plays a crucial role in transport activities; for instance, travel time may be affected by road work, the weather, or accidents, among others. This paper addresses a rich extension of the capacitated vehicle routing problem, which considers sustainability indicators (i.e., economic, environmental and social impacts) and stochastic traveling times. A simheuristic approach integrating Monte Carlo simulation into a multi-start metaheuristic is proposed to solve it. A computational experiment is carried out to validate our approach, and analyze the trade-off between sustainability dimensions and the effect of stochasticity on the solutions. |
Keywords: | stochastic processes vehicle routing Monte Carlo methods smart cities socio-economic effects freight handling sustainable development |
DOI: | 10.1109/WSC.2017.8248051 |
Document type: | info:eu-repo/semantics/conferenceObject |
Issue Date: | Dec-2017 |
Appears in Collections: | Articles |
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