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Author/Affiliation: Alexey GolubevOpen AccessArticle
9 Pages, 1,735 KB 
Public transportation network design: a geospatial data-driven method
Abstract:
The paper explores an issue of efficient public transportation network design as a part of the urban developing process. Having data about everyday residents travelling inside of an urban area, we can consider this data as people’s requirements for the public transport system. We propose a novel method for initial public transportation network design based…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Interdisciplinary Applications of Computer Science (CSI))