Open Access   Article Go Back

Efficient Parking Management Using the IoT Technology

Ayushi Rathore1 , Anjali 2 , Mohammed Abdul Qadeer3

  1. Dept. of Computer Science and Engineering, JSS Academy of Technical Education, Noida, India.
  2. Dept. of Information Technology, Aligarh College of Engineering and Technology, Aligarh, India.
  3. Dept. of Computer Science and Engineering, Aligarh Muslim University, Aligarh, India.

Correspondence should be addressed to: ayushirathore147@gmail.com.

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-9 , Page no. 198-203, Sep-2017

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v5i9.198203

Online published on Sep 30, 2017

Copyright © Ayushi Rathore, Anjali, Mohammed Abdul Qadeer . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: Ayushi Rathore, Anjali, Mohammed Abdul Qadeer, “Efficient Parking Management Using the IoT Technology,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.198-203, 2017.

MLA Style Citation: Ayushi Rathore, Anjali, Mohammed Abdul Qadeer "Efficient Parking Management Using the IoT Technology." International Journal of Computer Sciences and Engineering 5.9 (2017): 198-203.

APA Style Citation: Ayushi Rathore, Anjali, Mohammed Abdul Qadeer, (2017). Efficient Parking Management Using the IoT Technology. International Journal of Computer Sciences and Engineering, 5(9), 198-203.

BibTex Style Citation:
@article{Rathore_2017,
author = {Ayushi Rathore, Anjali, Mohammed Abdul Qadeer},
title = {Efficient Parking Management Using the IoT Technology},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {9 2017},
volume = {5},
Issue = {9},
month = {9},
year = {2017},
issn = {2347-2693},
pages = {198-203},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1456},
doi = {https://doi.org/10.26438/ijcse/v5i9.198203}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v5i9.198203}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1456
TI - Efficient Parking Management Using the IoT Technology
T2 - International Journal of Computer Sciences and Engineering
AU - Ayushi Rathore, Anjali, Mohammed Abdul Qadeer
PY - 2017
DA - 2017/09/30
PB - IJCSE, Indore, INDIA
SP - 198-203
IS - 9
VL - 5
SN - 2347-2693
ER -

VIEWS PDF XML
684 366 downloads 260 downloads
  
  
           

Abstract

Parking management in the populous country like India is very arduous. Most of the time, finding a parking lot with vacant spaces is a critical task which requires a lot of time and efforts to be made. Thus, after analysing the problem closely, we came up with a system that can effectively solve the problem of parking in metro/big cities using the IoT technology. The IoT architecture, in turn, will efficiently handle the parking space & overcome the problem of traffic caused by irregular parking on the roadsides, thus, managing time of the people. The architecture uses small-sized ultrasonic sensor which sizes about a bottle cap slotted with a wireless sensor node to send data to the Raspberry Pi, which further process the collected data and send it to the cloud. A Web App/Android App will measure the distance between user’s current location & nearby parking lots within the specified distance range using Haversian algorithm that works along the earth’s radius. The system also allows the user to reserve a parking space for a duration of time in advance.

Key-Words / Index Term

IoT, Parking Management, Sensor Technology, Wireless, Raspberry Pi

References

[1] Thanh Nam Pham1, Ming-Fong Tsai1, Duc Binh Nguyen1, Chyi-Ren Dow1, And Der-Jiunn Deng2, “A Cloud-Based Smart-Parking System Based on Internet-of-Things Technologies”, IEEE Access, pp. 1581-1591, 2015.
[2] Yanfeng Geng and Christos G. Cassandras. “A New Smart Parking System Based on Optimal Resource Allocation and Reservations”, IEEE Transaction on Intelligent Transportation Systems, Volume 14, pp. 1129 -1139, 2013.
[3] Callum Rhodes, William Blewitt, Craig Sharp, Gary Ushaw and Graham Morgan, “Smart Routing: A Novel Application of Collaborative Path-finding to Smart Parking Systems”, In the proceedings of 2014 IEEE Conference on Business Informatics (CBI), Switzerland, Volume 1, pp. 119-126, 2014.
[4] Prof. D. J. Bonde, Rohit S. Shende, Ketan S. Gaikwad, Akshay S. Kedari,Amol U. Bhokre, “Automated Car Parking System Commanded by Android Application”, International Journal of Computer Science and Information Technologies, Volume 5 – No. 3, pp. 1-4, 2014.
[5] Cui Shiyao, Wu Ming, Liu Chen, Rong Na, “The Research and Implement of the Intelligent Parking Reservation Management System Based on ZigBee Technology”, In the proceedings of 2014 International Conference on Measuring Technology and Mechatronics Automation, China, pp. 741-744, 2014.
[6] Faiz Ibrahim Shaikh, Pratik Nirnay Jadhav, Saideep Pradeep Bandarkar, Omkar Pradip Kulkarni, Nikhilkumar B. Shardoor, “Smart Parking System Based on Embedded System and Sensor Network”, International Journal of Computer Applications, Volume 140 – No.12, pp. 45-51, 2016.
[7] Shrungashri Chaudhary, Mudit Kapoor, “Design and Implementation of Reservation of Parking Spaces Using RFID and GSM Technology”, International Journal of Computer Sciences and Engineering, Vol.3, Issue.3, pp. 188-191, 2015.
[8] Nitin R.Chopde1, Mangesh K. Nichat, “Landmark Based Shortest Path Detection by Using A* and Haversine Formula”, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 1, Issue 2, pp.298-302 , 2013.