Optimization of Green Freight Transportation for Carbon Emission and Fuel Consumption

Bhaskar Chatterjee; Bhawna Agrawal; Gaurav Sharma

doi:https://doi.org/10.14445/22315373/IJMTT-V72I4P111

International Journal of Mathematics Trends and Technology

Research Article | Open Access | Download PDF

Volume 72 | Issue 4 | Year 2026 | Article Id. IJMTT-V72I4P111 | DOI : https://doi.org/10.14445/22315373/IJMTT-V72I4P111

Optimization of Green Freight Transportation for Carbon Emission and Fuel Consumption

Bhaskar Chatterjee, Bhawna Agrawal, Gaurav Sharma

Received	Revised	Accepted	Published
27 Feb 2026	31 Mar 2026	21 Apr 2026	30 Apr 2026

Citation :

Bhaskar Chatterjee, Bhawna Agrawal, Gaurav Sharma, "Optimization of Green Freight Transportation for Carbon Emission and Fuel Consumption," International Journal of Mathematics Trends and Technology (IJMTT), vol. 72, no. 4, pp. 74-82, 2026. Crossref, https://doi.org/10.14445/22315373/IJMTT-V72I4P111

Abstract

The goal of this research is to promote sustainable development by presenting an integrated approach to addressing the Transportation Problem (TP) with a focus on minimizing fuel consumption and reducing carbon dioxide emissions. Mathematical modeling techniques and Transportation algorithms are combined in the proposed solution, which is tailored to the specific context of the Indian Transport Authority transportation network. This approach’s effectiveness in achieving a balance between reducing fuel consumption and transportation costs while maintaining service quality and customer satisfaction is demonstrated in the study. The optimization of the allocation of different routes can greatly reduce carbon dioxide emissions and Fuel consumption in different transportation methods like NWC, LCM, and VAM methods. The findings have significant implications for transportation planning and management, with an emphasis on the benefits of adopting sustainable transportation solutions to mitigate the adverse environmental impacts of transportation.

Keywords

Carbon Emission, Fuel Consumption, Green Freight Transportation, Optimization, Linear Programming, Operations Research.

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