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MADM-based smart parking guidance algorithm

Abstract In smart parking environments, how to choose suitable parking facilities with various attributes to satisfy certain criteria is an important decision issue. Based on the multiple attributes decision making (MADM) theory, this study proposed a smart parking guidance algorithm by considering three representative decision factors (i.e., walk duration, parking fee, and the number of vacant parking spaces) and various preferences of drivers. In this paper, the expected number of vacant parking spaces is regarded as an important attribute to reflect the difficulty degree of finding available parking spaces, and a queueing theory-based theoretical method was proposed to estimate this expected number for candidate parking facilities with different ... (more)
Created Date 2017-12-13
Contributor Li, Bo (Author) / Pei, Yijian (Author) / Wu, Hao (Author) / Huang, Dijiang (ASU author) / Ira A. Fulton Schools of Engineering / School of Computing, Informatics and Decision Systems Engineering
Type Text
Extent 30 pages
Language English
Identifier DOI: 10.1371/journal.pone.0188283 / ISSN: 1045-3830 / ISSN: 1939-1560
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Citation Li, B., Pei, Y., Wu, H., & Huang, D. (2017). MADM-based smart parking guidance algorithm. Plos One, 12(12). doi:10.1371/journal.pone.0188283
Note The article is published at
Collaborating Institutions ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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