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DS Journal of Digital Science and Technology (DS-DST)

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Volume 4 | Issue 1 | Year 2025 | Article Id: DST-V4I1P103 DOI: https://doi.org/10.59232/DST-V4I1P103

Use of Energy-Efficient Routing Algorithms for Green Transportation

Arun Kumar Singh

ReceivedRevisedAcceptedPublished
09 Jan 202510 Feb 202515 Mar 202531 Mar 2025

Citation

Arun Kumar Singh. “Use of Energy-Efficient Routing Algorithms for Green Transportation.” DS Journal of Digital Science and Technology, vol. 4, no. 1, pp. 25-49, 2025.

Abstract

The faster development of urban structures accompanied by the growth of transportation infrastructure has given rise to important questions concerning energy use and ecology. Sustainable transportation, which, at its core, suggests a lack of harm to the environment, is now a hot topic of discussion. This paper focuses on the optimization of energy use in the transportation system using energy-efficient routing algorithms. Intending to address factors including traffic information, vehicle power consumption, and influence on the environment, these algorithms and models are expected to help achieve low carbon society, high fuel economy, and environmentally conscious transportation systems. The evaluation of several routing options is presented to determine the effect of these routing approaches on energy-efficient and eco-friendly objectives. Due to the emerging awareness of environmental consciousness, green transportation solutions are receiving increased attention; routing algorithms should also address energy efficiency. They are used to improve the routing of these vehicles and minimize the consumption of fuel, carbon emissions, and expenses incurred. This paper mainly analyses several energy-efficient routing algorithms for green transportation, such as Dijkstra, A star search Algorithm and Ant Colony Optimization Algorithm. Its effectiveness is based on real-world considerations of the specifications of these algorithms and how they can accommodate the traffic conditions, the kind of vehicles involved, and how energy is consumed are also discussed. Moreover, we assess the strategic usage of GPS and IoT to improve the effectiveness of these algorithms by supplying real-time data to support the adaptation of good routing methods. The experience of reporting on urban environments has also shown effectiveness in reaching goals of energy efficiency and decreasing travel time and emission rates. The results of this study support the need for multi-attribute design optimization strategies that consider energy consumption, cost, and building service quality. Finally, the study calls for increased use of energy-efficient routing algorithms as a plausible strategy in focalizing sustainable transportation systems. Through these algorithms, municipalities and logistic companies can support green conservation as the efficiency of operations is improved. This paper can be used as a starting point for researchers and students who focus on the issue in question.

Keywords

Energy efficiency, Routing algorithms, Green transportation, Sustainable mobility, Eco-routing.

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Use of Energy-Efficient Routing Algorithms for Green Transportation