The Resource Parking Availability Forecasting Model, by Manohar Boorlu

Parking Availability Forecasting Model, by Manohar Boorlu

Label
Parking Availability Forecasting Model
Title
Parking Availability Forecasting Model
Statement of responsibility
by Manohar Boorlu
Creator
Contributor
Author
Degree supervisor
Subject
Genre
Language
eng
Summary
Parking is increasingly an issue in the world today especially in large and growing cities with contemporary urban mobility. The effort spent in searching for available parking spots results in significant loss of resources such as time, and fuel, as well as environmental pollution. Parking Availability can be influenced by many factors such as time of day, day of week, location, nearby events, weather and traffic conditions. Driven by the idea of predicting parking availability to help drivers plan ahead of time, we contribute a Parking Availability Forecasting Model, which uses a time series analysis and machine-learning algorithms to predict the number of available parking spots at a certain location on a desired date and time. The forecasting model is trained on historical parking data from the cities of Kansas City, US and Melbourne, Australia. This paper also compares the accuracy of different time-series forecasting models, and how each of them fits our use-case scenario. Multivariate data analysis together with temperature and weather summary are used to cross-validate our forecasting model
Cataloging source
UMK
http://library.link/vocab/creatorName
Boorlu, Manohar
Degree
M.S.
Dissertation note
(School of Computing and Engineering).
Dissertation year
2019.
Granting institution
University of Missouri-Kansas City,
Illustrations
  • illustrations
  • maps
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorName
Kuhail, Mohammad Amin
http://library.link/vocab/subjectName
  • Automobile parking
  • Automobile parking
Label
Parking Availability Forecasting Model, by Manohar Boorlu
Instantiates
Publication
Copyright
Note
  • "A thesis in Computer Science."
  • Advisor: Mohammad Amin Kuhail
  • Vita
Antecedent source
not applicable
Bibliography note
Includes bibliographical references (pages 22-25)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Background and related work -- Dataset -- Parking availability forecasting model -- Implementation and results -- Conclusion and future work
Control code
1121203399
Dimensions
unknown
Extent
1 online resource (26 pages)
File format
one file format
Form of item
online
Level of compression
mixed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, maps
Quality assurance targets
not applicable
Specific material designation
remote
System control number
(OCoLC)1121203399
System details
  • The full text of the thesis is available as an Adobe Acrobat .pdf file; Adobe Acrobat Reader required to view the file
  • Mode of access: World Wide Web
Label
Parking Availability Forecasting Model, by Manohar Boorlu
Publication
Copyright
Note
  • "A thesis in Computer Science."
  • Advisor: Mohammad Amin Kuhail
  • Vita
Antecedent source
not applicable
Bibliography note
Includes bibliographical references (pages 22-25)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Contents
Introduction -- Background and related work -- Dataset -- Parking availability forecasting model -- Implementation and results -- Conclusion and future work
Control code
1121203399
Dimensions
unknown
Extent
1 online resource (26 pages)
File format
one file format
Form of item
online
Level of compression
mixed
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, maps
Quality assurance targets
not applicable
Specific material designation
remote
System control number
(OCoLC)1121203399
System details
  • The full text of the thesis is available as an Adobe Acrobat .pdf file; Adobe Acrobat Reader required to view the file
  • Mode of access: World Wide Web

Library Locations

  • Health Sciences LibraryBorrow it
    2411 Holmes St, Kansas City, Kansas City, MO, 64108, US
    39.083418 -94.575323
  • LaBudde Special CollectionsBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.034642 -94.576835
  • Leon E. Bloch Law LibraryBorrow it
    500 E. 52nd Street, Kansas City, MO, 64110, US
    39.032488 -94.581967
  • Marr Sound ArchivesBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.034642 -94.576835
  • Miller Nichols LibraryBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.035061 -94.576518
  • UMKCBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.035061 -94.576518
  • UMKCBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
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