Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)

Design of Intelligent Parking Lot Based on Radio Frequency Identification

Authors
Zuliang Wang, Ting Zhang, Ying Yin, Xinxin Xie, Nana Wan
Corresponding Author
Zuliang Wang
Available Online September 2016.
DOI
10.2991/meici-16.2016.219How to use a DOI?
Keywords
Radio frequency identification; Intelligent parking lot; Anti-collision; Simulation
Abstract

With the increase of car ownership in our country, the traditional manual management of the parking lot is time-consuming and its efficiency is low, also cannot make full use of parking spaces, resulting in waste of resources. This paper designs a kind of intelligent parking management system based on radio frequency identification technology. Group binding strategy is employed to solve the accounting and parking management problem when multi cars enter the parking space at the same time.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
Series
Advances in Intelligent Systems Research
Publication Date
September 2016
ISBN
10.2991/meici-16.2016.219
ISSN
1951-6851
DOI
10.2991/meici-16.2016.219How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zuliang Wang
AU  - Ting Zhang
AU  - Ying Yin
AU  - Xinxin Xie
AU  - Nana Wan
PY  - 2016/09
DA  - 2016/09
TI  - Design of Intelligent Parking Lot Based on Radio Frequency Identification
BT  - Proceedings of the 2016 6th International Conference on Management, Education, Information and Control (MEICI 2016)
PB  - Atlantis Press
SP  - 1053
EP  - 1057
SN  - 1951-6851
UR  - https://doi.org/10.2991/meici-16.2016.219
DO  - 10.2991/meici-16.2016.219
ID  - Wang2016/09
ER  -