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Title: A simheuristic approach for freight transportation in smart cities
Author: Reyes Rubiano, Lorena Silvana
Calvet Liñan, Laura  
Faulin Fajardo, Francisco Javier
Juan Pérez, Ángel Alejandro
Keywords: stochastic processes
vehicle routing
Monte Carlo methods
smart cities
socio-economic effects
freight handling
sustainable development
Issue Date: Dec-2017
Publisher: Winter Simulation Conference (WSC). Proceedings
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
Published in: Winter Simulation Conference, Las Vegas, EUA, 03-06, desembre de 2017
Project identifier: info:eu-repo/grantAgreement/TRA2013-48180-C3-P
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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.
Language: English
ISBN: 9781538634288
ISSN: 1558-4305MIAR
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