Optimizing Cyclist Parking in a Closed System
dc.contributor.author | Qingge, Letu | |
dc.contributor.author | Smith, Killian | |
dc.date.accessioned | 2017-12-18T21:16:29Z | |
dc.date.available | 2017-12-18T21:16:29Z | |
dc.date.issued | 2016-10 | |
dc.description.abstract | In this paper, we consider the two different aspects of the bike parking problem; namely the assignment of bike racks to locations, and the selection of the minimal number of bike rack locations satisfying some maximum walking distanced. The first sub-problem considered was the assignment of bike racks to individual buildings in the attempt to satisfy the needs of the total number of cyclists expected to reside within a building during the course of an average day. We show that the case of assigning a finite number of bike racks to all buildings on a campus is NP-Hard, and propose a greedy algorithm to obtain a solution. The case of allowing for additional bike racks to be purchased is shown to bePolynomial-Time solvable. The second sub-problem, finding the minimal number of bike rack locations, is shown to be NP-Hard, and a method to use approximation algorithms for the Maximum Independent Set to find solutions is demonstrated. | en_US |
dc.identifier.uri | https://scholarworks.montana.edu/handle/1/14092 | |
dc.language.iso | en_US | en_US |
dc.publisher | Montana State University | en_US |
dc.title | Optimizing Cyclist Parking in a Closed System | en_US |
dc.type | Presentation | en_US |
dc.type | Video | en_US |
mus.citation.extentfirstpage | 1 | en_US |
mus.citation.extentlastpage | 6 | en_US |
mus.identifier.category | Engineering & Computer Science | en_US |
mus.relation.college | College of Engineering | en_US |
mus.relation.department | Computer Science. | en_US |
mus.relation.university | Montana State University - Bozeman | en_US |
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