20.500.12556/DKUM-90083 Optimal bus stops' allocation a school bus routing problem with respect to terrain elevation The paper addresses the optimal bus stops allocation in the Laško municipality. The goal is to achieve a cost reduction by proper re-designing of a mandatory pupils' transportation to their schools. The proposed heuristic optimization algorithm relies on data clustering and Monte Carlo simulation. The number of bus stops should be minimal possible that still assure a maximal service area, while keeping the minimal walking distances children have to go from their homes to the nearest bus stop. The working mechanism of the proposed algorithm is explained. The latter is driven by three-dimensional GIS data to take into account as much realistic dynamic properties of terrain as possible. The results show that the proposed algorithm achieves an optimal solution with only 37 optimal bus stops covering 94.6 % of all treated pupils despite the diversity and wideness of municipality, as well as the problematic characteristics of terrains' elevation. The calculated bus stops will represent important guidelines to their actual physical implementation. logistics maximal covering problems optimization data clustering Monte Carlo simulation geographic information system (GIS) reduction of transportation costs Laško Slovenia true false false Angleški jezik Angleški jezik Članek v reviji 2024-08-22 11:33:18 2024-08-22 12:05:29 2026-05-06 11:50:21 0000-00-00 00:00:00 2018 0 0 str. 1-15 št. 2 Letn. 9 October 2018 0000-00-00 Zaloznikova Objavljeno NiDoloceno 0000-00-00 0000-00-00 2018-10-29 656.1 512943677 10.2478/jlst-2018-0006 2232-4968 https://www.degruyter.com/view/j/jlst.2018.9.issue-2/jlst-2018-0006/jlst-2018-0006.xml?format=INT 1 9417543a-6069-11ef-bd3a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=183012 RAZ_Prah_Klemen_2018.pdf RAZ_Prah_Klemen_2018.pdf 1 BCF95AA54BF4E5C502C39E27F8D6346C 5da979d897514ac7728d4fcd51cd7541b0e39ab3c1a2a6b1e65ef4ae79bc1d55 f9858193-606d-11ef-bd3a-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=183022 Fakulteta za logistiko Logistics, supply chain, sustainability and global challenges 0 0 0