Impact of Road Gradient on Fuel Consumption, Fuel Rate and CO₂ Emissions of Freight Transport
DOI:
https://doi.org/10.32832/astonjadro.v15i1.21234Keywords:
fuel consumption, fuel rate, CO₂ emissions, road gradient, freight transport.Abstract
This study investigates the impact of road gradient on fuel consumption, fuel rate (FR), and CO₂ emissions in freight transport vehicles with two-axle and three-axle configurations. The research was conducted on a 250-meter road segment with a 0.067 rad (~7%) gradient in front of Taman Rekreasi Datae, Sidenreng Rappang Regency, South Sulawesi, Indonesia. A quantitative mathematical model, based on vehicle technical parameters and empirical formulations from previous studies, was applied. Results show that increasing the gradient from 0 to 0.067 rad raised fuel consumption in two-axle trucks from 0.0356 L to 0.0857 L and in three-axle trucks from 0.1463 L to 0.3269 L. The FR for two-axle trucks increased from 0.0014 L/s to 0.0056 L/s, while for three-axle trucks it rose from 0.0033 L/s to 0.0124 L/s. CO₂ emissions from two-axle trucks increased from 0.0958 kg to 0.3941 kg, and from 0.2310 kg to 0.8807 kg for three-axle trucks. The relative increase was higher for two-axle trucks (311%) than for three-axle trucks (281%), due to axle load distribution, engine capacity, and transmission ratio. These findings highlight the need to consider vehicle configuration and topography in route planning to minimize fuel consumption and emissions in hilly regions.
References
EEA, Decarbonising road transport - the role of vehicles, fuels and transport demand, no. 02. 2022. [Online]. Available: http://europa.eu
IEA, “CO 2 Emissions in 2023,” Int. Energy Agency, vol. 24, p. 22, 2023.
T. Afrin and N. Yodo, “A survey of road traffic congestion measures towards a sustainable and resilient transportation system,” Sustain., vol. 12, no. 11, pp. 1–23, 2020, doi: 10.3390/su12114660.
M. Menendez and L. Ambühl, “Implementing Design and Operational Measures for Sustainable Mobility: Lessons from Zurich,” Sustain., vol. 14, no. 2, pp. 1–21, 2022, doi: 10.3390/su14020625.
H. Quak and B. Kin, “Reorganizing city logistics to reduce urban movements - Experiences with hubs and decoupling inner and outer urban transport,” Transp. Res. Procedia, vol. 79, no. 2023, pp. 36–43, 2024, doi: 10.1016/j.trpro.2024.03.007.
S. Saidi, V. Mani, H. Mefteh, M. Shahbaz, and P. Akhtar, “Dynamic linkages between transport, logistics, foreign direct Investment, and economic growth: Empirical evidence from developing countries,” Transp. Res. Part A Policy Pract., vol. 141, pp. 277–293, 2020.
A. Franceschetti, D. Honhon, T. Van Woensel, T. Bektaş, and G. Laporte, “The time-dependent pollution-routing problem,” Transp. Res. Part B Methodol., vol. 56, pp. 265–293, 2013, doi: 10.1016/j.trb.2013.08.008.
Y. Dong, J. Xu, and C. Gu, “Modelling carbon emissions of diesel trucks on longitudinal slope sections in China,” PLoS One, vol. 15, no. 6, pp. 1–17, 2020, doi: 10.1371/journal.pone.0234789.
P. Fan, G. Song, Z. Zhu, Y. Wu, Z. Zhai, and L. Yu, “Road grade estimation based on Large-scale fuel consumption data of connected vehicles,” Transp. Res. Part D Transp. Environ., vol. 106, p. 103262, 2022, doi: 10.1016/j.trd.2022.103262.
W. Chatti, “Moving towards environmental sustainability: information and communication technology (ICT), freight transport, and CO2 emissions,” Heliyon, vol. 7, no. 10, p. e08190, 2021, doi: 10.1016/j.heliyon.2021.e08190.
J. Y. M. Nunez, R. H. R. Millan, J. J. C. Eras, O. P. Garralaga, and G. Gatica, “How the Street Network Slope Influences Fuel Consumption in Urban Freight Routing,” Procedia Comput. Sci., vol. 220, pp. 909–915, 2023, doi: 10.1016/j.procs.2023.03.124.
A. Gebisa, G. Gebresenbet, R. Gopal, and R. B. Nallamothu, “ASTU Assessment on the Impacts of Vehicle Speed and Slope on Tailpipe Emissions Using Desirability Function Analysis,” Ethiop. J. Sci. Sustain. Dev., vol. 11, no. 1, p. 2024, 2024, [Online]. Available: https://doi.org/10.20372/ejssdastu:v11.i1.2024.743
W. Zhang, J. Lu, P. Xu, and Y. Zhang, “Moving towards sustainability: Road grades and on-road emissions of heavy-duty vehicles-A case study,” Sustain., vol. 7, no. 9, pp. 12644–12671, 2015, doi: 10.3390/su70912644.
A. Colovic, M. Marinelli, and M. Ottomanelli, “Towards the electrification of freight transport: A network design model for assessing the adoption of eHighways,” Transp. Policy, vol. 150, no. July 2023, pp. 106–120, 2024, doi: 10.1016/j.tranpol.2024.03.012.
A. Pahwa and M. Jaller, “Evaluating private and system-wide impacts of freight eco-routing,” Transp. Res. Part D Transp. Environ., vol. 130, no. March, p. 104170, 2024, doi: 10.1016/j.trd.2024.104170.
A. Budiharjo, T. Andika, N. Fitriani, R. Rukman, and B. Turasno, “Operational Data Analytics of Over Dimensional and Overloaded Truck in Indonesia,” RSF Conf. Ser. Eng. Technol., vol. 2, no. 2, pp. 88–98, 2022, doi: 10.31098/cset.v2i2.562.
H. Hakzah, M. I. Ramli, and A. I. Pawelloi, “the Characteristics Operational Cost of Freight Transport in South Sulawesi Province - Indonesia,” Sinergi, vol. 25, no. 1, p. 81, 2020, doi: 10.22441/sinergi.2021.1.011.
A. Safar, A. I. Saudi, B. A. Ampangallo, A. Y. Yunus, R. Sampe, and R. M. Rachman, Transportasi Publik. TOHAR MEDIA, 2024.
P. Alvarez, A. Serrano-Hernandez, I. Lerga, and J. Faulin, “Is time more important than distance to optimize freight delivery routes? An approach using the value of time,” Transp. Res. Procedia, vol. 78, no. 2023, pp. 428–435, 2024, doi: 10.1016/j.trpro.2024.02.054.
P. Miklautsch and M. Woschank, “A framework of measures to mitigate greenhouse gas emissions in freight transport: systematic literature review from a Manufacturer’s perspective,” J. Clean. Prod., vol. 366, p. 132883, 2022.
R. Raeesi, C. Searle, N. Balta-Ozkan, L. Marsiliani, M. Tian, and P. Greening, “Hydrogen supply chain and refuelling network design: assessment of alternative scenarios for the long-haul road freight in the UK,” Int. J. Hydrogen Energy, vol. 52, pp. 667–687, 2024, doi: 10.1016/j.ijhydene.2023.03.474.
J. P. Rodrigue, “The geography of transport systems,” Geogr. Transp. Syst., pp. 1–402, 2024, doi: 10.4324/9781003343196.
M. Gharieb and T. Nishikawa, “Development of Roughness Prediction Models for Laos National Road Network,” CivilEng, vol. 2, no. 1, pp. 158–173, 2021, doi: 10.3390/civileng2010009.
C. Atombo, “Heliyon Examining drivers injury severity for manual and automatic transmission vehicles-involved crashes : Random parameter mixed logit model with heterogeneity in means and variances,” Heliyon, vol. 10, no. 16, p. e36555, 2024, doi: 10.1016/j.heliyon.2024.e36555.
T. Liu and H. Meidani, “Neural network surrogate models for aerodynamic analysis in truck platoons: Implications on autonomous freight delivery,” Int. J. Transp. Sci. Technol., no. xxxx, 2024, doi: 10.1016/j.ijtst.2024.02.002.
IPCC, “IPCC Guidelines for National Greenhouse Inventories,” Prep. by Natl. Greenh. Gas Invent. Program., p. 20, 2006.
K. Weller, S. Lipp, M. Röck, C. Matzer, A. Bittermann, and S. Hausberger, “Real World Fuel Consumption and Emissions From LDVs and HDVs,” Front. Mech. Eng., vol. 5, no. July, pp. 1–22, 2019, doi: 10.3389/fmech.2019.00045.
PERMEN LHK, “Peraturan Menteri Lingkungan Hidup Dan Kehutanan No 20 Tentang Buku Emisi Gas Buang Kendaraan Bermotor Tipe Baru Kategori M, Kategori N, dan kategori O,” J. Chem. Inf. Model., vol. 53, no. 9, pp. 1689–1699, 2017.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 ASTONJADRO

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Paper submitted to ASTONJADRO is the sole property of the Astonjadro Journal. Unless the author withdraws the paper because he does not want to be published in this journal. The publication rights are in the journal Astonjadro.ASTONJADRO
LICENSE
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Based on a work at http://ejournal.uika-bogor.ac.id/index.php/ASTONJADRO










