Abstract
The increasing amount of air pollution on a global scale is a major source of worry. The elevated levels of pollution are affecting the health of urban dwellers and motorists to a great extent. Since the situation has become so dire, it has become an absolute necessity to find effective ways to reduce air pollution and mitigate the negative effects of air pollution on human health. In this paper, the task of determining the least polluted route is addressed and how this can be used to curb pollution is discussed. The proposed work uses Dijkstra’s algorithm, suggests a weight selection metric for air pollution parameters and analyzes the efficacy of the proposed algorithm in determining the least polluted route. The algorithm is tested on real-time data extracted from the Central Pollution Control Board, a statutory organization under the Ministry of Environment, Forest and Climate Change, Government of India. From the results obtained, it is found that the least polluted routes between a given source location and other different locations of a city can be determined using Dijkstra’s algorithm accurately and the algorithm has a time complexity of O(V2). Further, using a least polluted route map will help motorists take less polluted routes, diverting air pollution off congested streets and enabling national governments to create policies like constructing flyovers or widening roads in increasingly polluted areas.
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Acknowledgements
The Central Pollution Control Board (CPCB) of India, a statutory agency under the Ministry of Environment, Forest, and Climate Change (Mo. E.F.C) is gratefully acknowledged by the author for making air pollution data freely available required for this research work. The author is also thankful to Bhaskaracharya College of Applied Sciences, University of Delhi, for providing the infrastructural support.
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This paper presents a unique criterion of weight selection parameter used in Dijkstra’s algorithm and the proposed approach can be used for the determination of Least Polluted Route. The unique selection criterion of weight ensures that no negative cycles are generated while the Dijsktra’s algorithm is running. The methodology is detailed and obtained output results are found to be in order and accurate.
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Deep, B. Determination of least polluted route using Dijkstra’s algorithm. Int. J. Environ. Sci. Technol. 20, 13289–13298 (2023). https://doi.org/10.1007/s13762-022-04750-3
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DOI: https://doi.org/10.1007/s13762-022-04750-3