Skip to main content
EXTENDED SEARCH
Log in
Top
Published in:
Read chapter Read first chapter

2022 | OriginalPaper | Chapter

41. IoT Machine Learning Based Parking Management System with Anticipated Prediction of Available Parking Spots

Authors : Grzegorz Chmaj, Michael Lazeroff

Published in: ITNG 2022 19th International Conference on Information Technology-New Generations

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The chapter introduces an innovative IoT-based parking management system that uses machine learning to predict the availability of parking spots in real-time. By leveraging smartphones and user-provided data, the system optimizes traffic flow and reduces parking time in high-density areas such as university campuses. The proposed system eliminates the need for additional infrastructure like sensors, relying instead on a mobile application that interacts with a backend server. The backend server processes GPS coordinates, utilizing machine learning models to predict user movements and parking spot availability. The system also incorporates geofences to delineate virtual perimeters around parking areas, enhancing the accuracy of predictions. Additionally, the chapter discusses the potential for personalized time predictions and the integration of various parking spot categories. The detailed architecture and implementation of the system are thoroughly explored, providing a comprehensive guide for professionals seeking to implement similar solutions in smart city environments.
AI Generated

This summary of the content was generated with the help of AI.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Business + Economics & Engineering + Technology"

Online-Abonnement

Springer Professional "Business + Economics & Engineering + Technology" gives you access to:

  • more than 102.000 books
  • more than 537 journals

from the following subject areas:

  • Automotive
  • Construction + Real Estate
  • Business IT + Informatics
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Mechanical Engineering + Materials
  • Insurance + Risk


Secure your knowledge advantage now!

inform now

Springer Professional "Engineering + Technology"

Online-Abonnement

Springer Professional "Engineering + Technology" gives you access to:

  • more than 67.000 books
  • more than 390 journals

from the following specialised fileds:

  • Automotive
  • Business IT + Informatics
  • Construction + Real Estate
  • Electrical Engineering + Electronics
  • Energy + Sustainability
  • Mechanical Engineering + Materials





 

Secure your knowledge advantage now!

inform now

Springer Professional "Business + Economics"

Online-Abonnement

Springer Professional "Business + Economics" gives you access to:

  • more than 67.000 books
  • more than 340 journals

from the following specialised fileds:

  • Construction + Real Estate
  • Business IT + Informatics
  • Finance + Banking
  • Management + Leadership
  • Marketing + Sales
  • Insurance + Risk



Secure your knowledge advantage now!

inform now
previous chapter Semantic Interoperability in the Internet of Things: A Systematic Literature Review
next chapter Channel State Information Spectrum Gap Filling Using Shallow Neural Networks
Literature
This content is only visible if you are logged in and have the appropriate permissions.
Metadata
Title
IoT Machine Learning Based Parking Management System with Anticipated Prediction of Available Parking Spots
Authors
Grzegorz Chmaj
Michael Lazeroff
Copyright Year
2022
Book
ITNG 2022 19th International Conference on Information Technology-New Generations

Print ISBN: 978-3-030-97651-4

Electronic ISBN: 978-3-030-97652-1

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-97652-1_41

Premium Partner

    Image Credits