How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing

Javier Yesid Mahecha Nunez; Rafael Humberto Rojas Millan; Juan Jose Cabello Eras; Oscar Pinto Garralaga; Gustavo Gatica

doi:10.1016/j.procs.2023.03.124

How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing

Javier Yesid Mahecha Nunez, Rafael Humberto Rojas Millan, Juan Jose Cabello Eras, Oscar Pinto Garralaga, Gustavo Gatica

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

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%.

Original language	English
Pages (from-to)	909-915
Number of pages	7
Journal	Procedia Computer Science
Volume	220
DOIs	https://doi.org/10.1016/j.procs.2023.03.124
Publication status	Published - 2023
Event	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, Belgium Duration: 15 Mar 2023 → 17 Mar 2023

Keywords

City Logistics
Eco-efficiency in transportation
Pollution problem
Urban Freight Transportation
Vehicle Routing Problem

ASJC Scopus subject areas

General Computer Science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.procs.2023.03.124

Cite this

@article{4400a696fa2f4e048ba7fe074d5152cb,

title = "How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing",

abstract = "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%.",

keywords = "City Logistics, Eco-efficiency in transportation, Pollution problem, Urban Freight Transportation, Vehicle Routing Problem",

author = "Nunez, {Javier Yesid Mahecha} and Millan, {Rafael Humberto Rojas} and Eras, {Juan Jose Cabello} and Garralaga, {Oscar Pinto} and Gustavo Gatica",

note = "Publisher Copyright: {\textcopyright} 2023 Elsevier B.V.. All rights reserved.; 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 ; Conference date: 15-03-2023 Through 17-03-2023",

year = "2023",

doi = "10.1016/j.procs.2023.03.124",

language = "English",

volume = "220",

pages = "909--915",

journal = "Procedia Computer Science",

issn = "1877-0509",

publisher = "Elsevier B.V.",

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T1 - How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing

AU - Nunez, Javier Yesid Mahecha

AU - Millan, Rafael Humberto Rojas

AU - Eras, Juan Jose Cabello

AU - Garralaga, Oscar Pinto

AU - Gatica, Gustavo

PY - 2023

Y1 - 2023

N2 - 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%.

AB - 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%.

KW - City Logistics

KW - Eco-efficiency in transportation

KW - Pollution problem

KW - Urban Freight Transportation

KW - Vehicle Routing Problem

UR - http://www.scopus.com/inward/record.url?scp=85164459783&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2023.03.124

DO - 10.1016/j.procs.2023.03.124

M3 - Conference article

AN - SCOPUS:85164459783

SN - 1877-0509

VL - 220

SP - 909

EP - 915

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 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

Y2 - 15 March 2023 through 17 March 2023

ER -

How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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