A sustainable approach to solve the routing problem for transportation services: a vehicle pollution assessment
DOI:
https://doi.org/10.58922/transportes.v34.e3048Keywords:
Geographic Information System; Logistics routing; Analytic Hierarchy Process; Pollution routing problem; Urban solid waste.Abstract
This study addresses a complex issue in transportation service management, focusing on vehicle pollution within the Pollution Routing Problem (PRP) framework. It examines how direct fuel costs and greenhouse gas (GHG) emissions are influenced by travel distance, road slopes, and vehicle speed. The research centers on the urban solid waste (USW) collection service in Miraporanga, managed by Uberlândia, Brazil. Using GIS tools, the study evaluates waste collection routes to minimize GHG emissions. Due to the multifaceted nature of transportation costs and factors, an Analytic Hierarchy Process (AHP) was employed to rank the project variables effectively. The research compared two routing approaches: shortest path and flattest path, using a weighted implementation cost formula to determine which route is more sustainable. The findings reveal an 8% reduction in GHG emissions per collection. Additionally, applying the PRP showed a 16% decrease in fuel consumption by optimizing for distance, speed, and road slopes. This approach demonstrates a practical method for enhancing environmental sustainability in urban waste management.
Downloads
References
Barth, M. & K. Boriboonsomsin (2009). Energy and emissions impacts of a freeway-based dynamic eco-driving system.
Transportation Research Part D, Transport and Environment 14(6), 400–410. DOI:10.1016/j.trd.2009.01.004.
Bowler, N. E., T. M. Fink, & R. C. Ball (2003). Characterization of the probabilistic traveling salesman problem. Physical Review E: Statistical, Nonlinear, and Soft Matter Physics 68(3), 036703. DOI:10.1103/PhysRevE.68.036703.
Brunner, C., R. Giesen, M. A. Klapp, & L. Flórez-Calderón (2021). Vehicle routing problem with steep roads. Transportation Research Part A, Policy and Practice 151, 1–17. DOI:10.1016/j.tra.2021.06.002.
CETESB (2021). Plano de controle de poluição veicular do Estado de São Paulo (PCPV) 2020–2022. Relatório de emissões, Companhia Ambiental do Estado de São Paulo. URL: https://www.cetesb.sp.gov.br/cetesb/qualidade_ambiental/ emissao_veicular/publicacoes_e_relatorios [visited 7.2.2026].
Costa, P. R. O., S. Mauceri, P. Carroll, & F. Pallonetto (2018). A genetic algorithm for a green vehicle routing problem. Electronic Notes in Discrete Mathematics 64, 65–74. DOI:10.1016/j.endm.2018.01.008.
Davis, S. C., S. W. Diegel, & R. G. Boundy (2016). Transportation energy data book. Washington, DC: U.S. Department of Energy.
Deng, Y., Y. Chen, Y. Zhang, & S. Mahadevan (2012). Fuzzy Dijkstra algorithm for shortest path problem under uncertain environment. Applied Soft Computing 12(3), 1231–1237. DOI:10.1016/j.asoc.2011.11.011.
Detofeno, T. C. & M. T. Steiner (2010). Optimizing routes for the collection of urban solid waste. Iberoamerican Journal of Industrial Engineering 2(3), 124–136. DOI:10.13084/2175-8018.v02n03a07.
Dias, D. M., C. B. Martinez, R. T. V. Barros, & L. Marcelo (2012). Modelo para estimativa da geração de resíduos sólidos domiciliares. Engenharia Sanitária e Ambiental 17(3), 325–332. DOI:10.1590/S1413-41522012000300009.
Ericsson, E. (2001). Independent driving pattern factors and their influence on fuel use. Transportation Research Part D: Transport and Environment 6(5), 325–345. DOI:10.1016/S1361-9209(01)00003-7.
Fukasawa, R., Q. He, & Y. Song (2016). A disjunctive convex programming approach. Transportation Research Part B: Methodological 94, 61–79. DOI:10.1016/j.trb.2016.09.006.
Houghton, J., L. Meira Filho, B. Lim, K. Treanton, I. Mamaty, Y. Bonduki, D. Griggs, & B. Callander (1997). Revised 1996 IPCC Guidelines for National Greenhouse Gas Inventories. Technical report, Intergovernmental Panel on Climate Change (IPCC). URL: https://www.ipcc-nggip.iges.or.jp/public/gl/invs1.html [visited 7.2.2026].
IBGE (2010). Demographic census 2010: Characteristics of population and households. Technical re-port. URL: https://ibge.gov.br/en/statistics/multi-domain/living-conditions-poverty-and-inequality/ 18391-2010-population-census.html [visited 4.2.2026].
IEA (2020). Energy Efficiency 2020: Urban transport. Technical report, International Energy Agency. URL: https://www.iea. org/reports/energy-efficiency-2020/urban-transport [visited 4.2.2026].
Koç, C., T. Bektaş, O. Jabali, & G. Laporte (2014). The fleet size and mix pollution-routing problem. Transportation Research Part B: Methodological 70, 239–254. DOI:10.1016/j.trb.2014.09.008.
Koç, C., T. Bektaş, O. Jabali, & G. Laporte (2016). Thirty years of heterogeneous vehicle routing. European Journal of Operational Research 249(1), 1–21. DOI:10.1016/j.ejor.2015.07.020.
Lai, D., Y. Costa, E. Demir, A. M. Florio, & T. Van Woensel (2024). The pollution-routing problem with speed optimization and uneven topography. Computers & Operations Research 164, 106557. DOI:10.1016/j.cor.2024.106557.
Lai, D. S. W., O. C. Demirag, & J. M. Y. Leung (2016). A tabu search heuristic. Transportation Research Part E: Logistics and Transportation Review 86, 32–52. DOI:10.1016/j.tre.2015.12.001.
Liu, K., T. Yamamoto, & T. Morikawa (2017). Impact of road gradient on energy consumption. Transportation Research Part D: Transport and Environment 54, 74–81. DOI:10.1016/j.trd.2017.05.005.
MMA (2014). Inventário de emissões atmosféricas por veículos automotores rodoviários 2013 (ano-base 2012). Relatório final, Ministério do Meio Ambiente. URL: http://energiaeambiente.org.br/wp-content/uploads/2013/01/2014-05-27inventario2013.pdf [visited 7.2.2026].
Raeesi, R. & K. G. Zografos (2019). The multi-objective Steiner pollution-routing problem on congested urban road networks.
Transportation Research Part B: Methodological 122, 457–485. DOI:10.1016/j.trb.2019.02.008.
Saaty, T. L. (2001). Fundamentals of the analytic hierarchy process. In D. L. Schmoldt, J. Kangas, G. A. Mendoza, & M. Pesonen (Eds.), The Analytic hierarchy process in natural resource and environmental decision making: managing forest ecosystems, pp. 15–35. Dordrecht: Springer. DOI:10.1007/978-94-015-9799-9_2.
Savelsbergh, M. & T. Van Woensel (2016). City logistics: challenges and opportunities. Transportation Science 50(2), 579–590.
DOI:10.1287/trsc.2016.0675.
Suzuki, Y. (2011). A new truck-routing approach for reducing fuel consumption and pollutants emission. Transportation Research Part D: Transport and Environment 16(1), 73–77. DOI:10.1016/j.trd.2010.08.003.
Tirkolaee, E. B., A. Goli, A. Faridnia, M. Saltani, & G. Weber (2020). Multi-objective optimization. Journal of Cleaner Production 276, 122927. DOI:10.1016/j.jclepro.2020.122927.
Travesset-Baro, O., M. Rosas-Casals, & E. Jover (2015). Transport energy consumption in mountainous roads. a comparative case study for internal combustion engines and electric vehicles in andorra. Transportation Research Part D: Transport and Environment 34, 16–26. DOI:10.1016/j.trd.2014.09.006.
UN (2022). World Cities Report 2022: Envisaging the Future of Cities. Report, UN Habitat. URL: https://www.un-ilibrary. org/content/books/9789210028592/read [visited 4.2.2026].
Xiao, Y., X. Zuo, J. Huang, A. Konak, & Y. Xu (2020). The continuous pollution routing problem. Applied Mathematics and Computation 387, 125072. DOI:10.1016/j.amc.2020.125072.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Raquel Fernandes, Gabriel Henrique Carvalho Rezende

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who submit papers for publication by TRANSPORTES agree to the following terms:
- The authors retain the copyright and grant Transportes the right of first publication of the manuscript, without any financial charge, and waive any other remuneration for its publication by ANPET.
- Upon publication by Transportes, the manuscript is automatically licensed under the Creative Commons License CC BY 4.0 license. This license permits the work to be shared with proper attribution to the authors and its original publication in this journal.
- Authors are authorized to enter into additional separate contracts for the non-exclusive distribution of the version of the manuscript published in this journal (e.g., publishing in an institutional repository or as a book chapter), with recognition of the initial publication in this journal, provided that such a contract does not imply an endorsement of the content of the manuscript or the new medium by ANPET.
- Authors are permitted and encouraged to publish and distribute their work online (e.g., in institutional repositories or on their personal websites) after the editorial process is complete. As Transportes provides open access to all published issues, authors are encouraged to use links to the DOI of their article in these cases.
- Authors confirm they have obtained all required employer permissions for the publication and CC BY 4.0 licensing of the manuscript, particularly if the employer holds any claim to the manuscript's copyright. Authors assume all responsibility for employer-related copyright issues, releasing ANPET and Transportes from any related liability.
- Authors assume full responsibility for the content of the manuscript, including the necessary and appropriate authorizations for the disclosure of collected data and obtained results, releasing ANPET and Transportes from any responsibility in this regard.
Last update: 11/27/2025




