Iparking -Real-time parking space monitor and guiding system with cloud service

Ching Fei Yang, You Huei Ju, Chung Ying Hsieh, Chia Ying Lin, Meng Hsun Tsai, Hui Ling Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

By the popularization of cars, average number of vehicles owned by one person grows with passing days. However, the number of parking areas is out of proportion. In order to satisfy the requirements of parking space and reduce illegal parking, we propose iParking, a real-time parking space monitoring and guiding system, in this paper. We lay emphasis on roadside parking. The system determines and records empty parking spaces through cloud computing, wireless technology between vehicles, and image analysis. It tells you the nearest location of empty parking space while drivers have requests. We expect the system to cause attention to more people and government while it solves relative problems about parking space.

Original languageEnglish
Title of host publicationInternet of Vehicles - Technologies and Services - 3rd International Conference, IOV 2016, Proceedings
EditorsChing-Hsien Hsu, Shangguang Wang, Ao Zhou, Ali Shawkat
PublisherSpringer Verlag
Pages26-33
Number of pages8
ISBN (Print)9783319519685
DOIs
Publication statusPublished - 2016
Event3rd International Conference Internet of Vehicles - Technologies and Services, IOV 2016 - Nadi, Fiji
Duration: 2016 Dec 72016 Dec 10

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10036 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other3rd International Conference Internet of Vehicles - Technologies and Services, IOV 2016
CountryFiji
CityNadi
Period16-12-0716-12-10

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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