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Smart Parking Tools Suitability for Open Parking Lots: A Review
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0002-2078-3327
Dalarna University, School of Technology and Business Studies, Computer Engineering.ORCID iD: 0000-0002-1429-2345
Dalarna University, School of Technology and Business Studies, Microdata Analysis.ORCID iD: 0000-0003-4871-833X
Dalarna University, School of Technology and Business Studies, Information Systems.ORCID iD: 0000-0003-4812-4988
2018 (English)In: Proceedings of the 4th International Conference on Vehicle Technology and Intelligent Transport Systems, Madeira, 2018, p. 600-609Conference paper, Published paper (Refereed)
Abstract [en]

Parking a vehicle in traffic dense environments is a common issue in many parts of the world which oftenleads to congestion and environmental pollution. Lack of guidance information to vacant parking spaces isone of the reasons for inefficient parking behaviour. Smart parking sensors and technologies facilitateguidance of drivers to free parking spaces thereby improving parking efficiency. Currently, no such sensorsor technologies are in use for the common open parking lot. This paper reviews the literature on the usage ofsmart parking sensors, technologies, applications and evaluate their suitability to open parking lots. Suitabilitywas made in terms of expenditure and reliability. Magnetometers, ultrasonic sensors and machine vision werefew of the widely used sensors and technologies used in closed parking lots. However, this paper suggests acombination of machine vision, fuzzy logic or multi-agent systems suitable for open parking lots due to lessexpenditure and resistance to varied environmental conditions. No application provided real time parkingoccupancy information of open parking lots, which is a necessity to guide them along the shortest route tofree space. To develop smart parking applications for open parking lots, further research is needed in the fieldsof deep learning.

Place, publisher, year, edition, pages
Madeira, 2018. p. 600-609
Keyword [en]
Decision support system, sensors, technologies, applications
National Category
Computer Systems
Research subject
Complex Systems – Microdata Analysis
Identifiers
URN: urn:nbn:se:du-27616DOI: 10.5220/0006812006000609ISBN: 978-989-758-293-6 (electronic)OAI: oai:DiVA.org:du-27616DiVA, id: diva2:1203826
Conference
4th International Conference on Vehicle Technology and Intelligent Transport Systems, March 16-18 2018, Funchal, Madeira
Available from: 2018-05-04 Created: 2018-05-04 Last updated: 2018-05-07Bibliographically approved

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Paidi, VijayFleyeh, HasanHåkansson, JohanNyberg, Roger G.

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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  • chicago-note-bibliography
  • Other style
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Language
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  • nn-NB
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  • Other locale
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Output format
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