MSCSO: A Hybrid Nature-Inspired Algorithm for High-Dimensional Traffic Optimization in Urban Environments

Vayadande, Kuldeep; Singh, Viomesh Kumar; Bhosle, Amol; Gore, Ranjana; Bodhe, Yogesh Uttamrao; Bhat, Aditi; Charoliya, Zulfikar; Chavan, Aayush; Bachhav, Pranav; Bhoyar, Aditya

MSCSO: A Hybrid Nature-Inspired Algorithm for High-Dimensional Traffic Optimization in Urban Environments

Vayadande, Kuldeep and Singh, Viomesh Kumar and Bhosle, Amol and Gore, Ranjana and Bodhe, Yogesh Uttamrao and Bhat, Aditi and Charoliya, Zulfikar and Chavan, Aayush and Bachhav, Pranav and Bhoyar, Aditya (2025) MSCSO: A Hybrid Nature-Inspired Algorithm for High-Dimensional Traffic Optimization in Urban Environments. EAI Endorsed Transactions on AI and Robotics.

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Abstract

Metropolitan regions have experienced higher economical and environmental pressure due to the fasted urbanization leading to increased traffic jams that necessitate the use of higher optimization techniques. Traditional traffic models do not usually take large-dimensional and dynamicity of urban mob

Item Type:	Article
Date Deposited:	04 Mar 2026 20:14
Last Modified:	10 Apr 2026 18:19
URI:	http://eprints.eai.eu/id/eprint/59833

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