Mahecha Nunez, Javier YesidRojas Millan, Rafael HumbertoCabello Eras, Juan JoseGarralaga, Oscar PintoGatica, Gustavo2024-04-192024-04-192023-03Procedia Computer Science. Volume 220, Pages 909 - 9152023 14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023. Leuven. 15 March 2023through 17 March 2023. Code 1897121877-0509https://repositorio.unab.cl/handle/ria/56141Indexación: Scopus.Although there are many investigations on the problem of vehicle routing, few consider the real slope changes in the road networks of cities. The objective of this work is to calculate the effect that the slopes of a road network can have on fuel consumption, combining a metaheuristic solution algorithm, traffic characterization and an algorithm for the calculation of road slopes. The results of the model show that considering the slope in the urban merchandise distribution model can increase the estimates of fuel consumption by 28.67%. © 2023 Elsevier B.V.. All rights reserved.enCity LogisticsEco-efficiency in transportationPollution problemUrban Freight TransportationVehicle Routing ProblemHow the street network slope influences fuel consumption in urban freight routingArtículoCC BY-NC-ND 4.0 DEED Attribution-NonCommercial-NoDerivs 4.0 International10.1016/j.procs.2023.03.124