Novel based Intelligent Parking System

Authors(2) :-A. Vignesh, D. Stalin David

Smart parking system selects desired parking lot, the system will reconnect the driver to the subsystem in related parking lot, the driver can complete the reservation without communicating with the central system. Therefore, the central system no longer needs to maintain the reservation service. Data Collection and Local Presentation: The system collects and stores the data about the performance metrics, including the status of parking space, reservation time, parking location, driverís identity. All data stored by the system is at least stamped with time metadata. Furthermore, the system allows the driver to check the parking information, including the location of parking spaces, the vacancy time of parking spaces and reservation information. In order to protect the security of the system, we separately design a repository of sensing data and a mirror database of reservation. The repository is the sink of the sensing data, and the mirror database is synchronized with the repository and stores the reservation information. In this way, the drivers are only able to check and update the information in the mirror database.

Authors and Affiliations

A. Vignesh
Department of M.Sc(Software Engineering), PSN College of Engineering & Technology, Tirunelveli,Tamilnadu, India
D. Stalin David
Department of M.Sc(Software Engineering), PSN College of Engineering & Technology, Tirunelveli,Tamilnadu, India

Arduino, Wi-Fi (ESP 8266), Load cell, Database System

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Publication Details

Published in : Volume 2 | Issue 2 | March-April 2017
Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 724-729
Manuscript Number : CSEIT1722151
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

A. Vignesh, D. Stalin David, "Novel based Intelligent Parking System", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 2, pp.724-729, March-April-2017.
Journal URL : http://ijsrcseit.com/CSEIT1722151

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