Abstract
A maximum dynamic multicommodity flow problem concerns with the transportation of several different commodities through the specific source-sink path of an underlying capacity network with the objective of maximizing the sum of commodity flows within a given time horizon. Motivated by the uneven road condition of transportation network topology, we introduce the dynamic multicommodity contraflow problem with asymmetric transit times on arcs that increase the outbound lane capacities by reverting the orientation of lanes towards the demand nodes. Moreover, a pseudo-polynomial time algorithm by using a time-expanded graph and an FPTAS by using a -condensed time-expanded network are presented.
Acknowledgments
The first author thanks the University Grants Commission, Nepal, for the Ph.D. research fellowship award 2018 with award no. PhD/074-75/S&T-10, and the second author thanks the Alexander Von Humboldt Foundation for Digital Cooperation Fellowship (August 1, 2021, to January 31, 2022).
Citation
Shiva Prakash Gupta. Urmila Pyakurel. Tanka Nath Dhamala. "Dynamic Multicommodity Contraflow Problem with Asymmetric Transit Times." J. Appl. Math. 2022 1 - 8, 2022. https://doi.org/10.1155/2022/3697141
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