Open Access   Article Go Back

Shortest Path Finder for Vehicle Parking(SPFVP)

Sharmila Chopade1 , Rushikesh Nagawade2 , Mayur Jadhav3 , Aakash Awate4 , Indrajeet Chaudhari5

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-3 , Page no. 67-70, Mar-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i3.6770

Online published on Mar 30, 2020

Copyright © Sharmila Chopade,Rushikesh Nagawade, Mayur Jadhav, Aakash Awate,Indrajeet Chaudhari . 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

XML View
PDF Download

How to Cite this Paper

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

IEEE Style Citation: Sharmila Chopade,Rushikesh Nagawade, Mayur Jadhav, Aakash Awate,Indrajeet Chaudhari, “Shortest Path Finder for Vehicle Parking(SPFVP),” International Journal of Computer Sciences and Engineering, Vol.8, Issue.3, pp.67-70, 2020.

MLA Style Citation: Sharmila Chopade,Rushikesh Nagawade, Mayur Jadhav, Aakash Awate,Indrajeet Chaudhari "Shortest Path Finder for Vehicle Parking(SPFVP)." International Journal of Computer Sciences and Engineering 8.3 (2020): 67-70.

APA Style Citation: Sharmila Chopade,Rushikesh Nagawade, Mayur Jadhav, Aakash Awate,Indrajeet Chaudhari, (2020). Shortest Path Finder for Vehicle Parking(SPFVP). International Journal of Computer Sciences and Engineering, 8(3), 67-70.

BibTex Style Citation:
@article{Chopade_2020,
author = {Sharmila Chopade,Rushikesh Nagawade, Mayur Jadhav, Aakash Awate,Indrajeet Chaudhari},
title = {Shortest Path Finder for Vehicle Parking(SPFVP)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2020},
volume = {8},
Issue = {3},
month = {3},
year = {2020},
issn = {2347-2693},
pages = {67-70},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5052},
doi = {https://doi.org/10.26438/ijcse/v8i3.6770}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i3.6770}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5052
TI - Shortest Path Finder for Vehicle Parking(SPFVP)
T2 - International Journal of Computer Sciences and Engineering
AU - Sharmila Chopade,Rushikesh Nagawade, Mayur Jadhav, Aakash Awate,Indrajeet Chaudhari
PY - 2020
DA - 2020/03/30
PB - IJCSE, Indore, INDIA
SP - 67-70
IS - 3
VL - 8
SN - 2347-2693
ER -

VIEWS PDF XML
185 350 downloads 132 downloads
  
  
           

Abstract

Finding a parking place in a busy city center is often a frustrating task for many drivers, time and fuel are misspent in the search for a vacant slot and traffic jam in the area expand due to the slow moving vehicles circling around. In the existing system sensors are used so it may require frequent maintenance. Although several amount of research works on the development of smart parking system exist in literature, but almost all of them have not addressed the problem of real-time identification of actual parking and automatic collection of parking charges. The shortest path finder for Vehicle Parking System will find the closest path for parking using Dijikstra’s algorithm.   The SPFVP will guide the drivers smartly to their desired parking destination and the driver can park at the reserved space without any searching. GPS technique is used for helping the driver to identify the nearest parking area. Graphical Interface shows the user for the available and reserved spaces that will help the drivers for selecting the suitable space.  

Key-Words / Index Term

Smart parking, Parking slot, GPS (Global positioning System), IR (Infrared Sensor)

References

[1] Cristian Roman, Ruizhi Liao, Peter Ball, Member, IEEE, Shumao  Ou, Member, IEEE, and Martin de Heaver,” Detecting On-Street         Parking Spaces in Smart Cities”, Jun. 2018.
[2] J. Lanza et al., “Smart city services over a future Internet platform based on  Internet  of  Things and cloud: The smart parking case ,” Energies, vol. 9, no. 9, p. 719, 2016.
[3] J. A. Khan and Y. Ghamri-Doudane, “Car rank: An   information-        centric identification of important smart vehicles for urban sensing                 sensing,” in Proc. IEEE 14th Int. Symp. Netw. Comput. Appl.,Sep.    2015, pp. 184–191.
[4] J. A. Khan, Y. Ghamri-Doudane, and D. Botvich, “Autonomous         identification and optimal selection of popular smart vehicles for urban sensing—An information-centric approach,” IEEE Trans.    Veh. Technol., vol. 65, no. 12, pp. 9529–9541, Dec. 2016.
[5] V.Faheem, S. A. Mahmud, G. M. Khan, M. Rahman, and H. Zafar,        “A survey of intelligent car parking system,” J. Appl. Res.Technol.,         vol. 11, no. 5, pp. 714–726, 2013.
[6] Z. Zhang, X. Li,a H. Yuan, and F. Yu, “A  street  parking  system           using wireless sensor networks,” Int. J. Distrib. Sensor Netw., vol.  9, no. 6, p. 107975, 2013.
[7] J. Lanza et al., “Smart city services over a future Internet platform Based  on Internet  of  Things and cloud: The smart parking case,”                   Energies, vol. 9, no. 9, p. 719, 2016.
[8] S. Mathur et al., “Parknet: drive-by sensing of road-side parking statistics,” in Proc. 8th Int. Conf. Mobile Syst., Appl., Services,          2010, pp. 123–136.
[9] S Nawaz, C.Efstratiou, and C. Mascolo, “Parksense: A smartphone         based sensing system for on-street parking,” in Proc. 19th Annu. Int. Conf. Mobile Comput. Netw., 2013, pp. 75–86.
[10] Siemens. (2015). Integrated  Smart  Parking  Solution. Accessed:Apr282017.[OnlineForum].www.mobility.siemens.com/mobility/global /en/ urban – mobility / road – solutions / integrated-smart- parkingsolution/Pages/integrated-smart-parking-solution.aspx
[11] Ford(2015).Parking Spotter. Accessed: Apr. 28,2017.[online]. Available:https://media.ford.com/content/fordmedia/fna/us/en/news/ 2015/01/06/mobilityexperiment-parking-spotter-atlanta.html