Shortest Path Finder for Vehicle Parking(SPFVP)

Authors

  • Chopade S Dept. of Computer Engineering, D. Y. Patil Institute of Engineering and Technology, Ambi, India
  • Nagawade R Dept. of Computer Engineering, D. Y. Patil Institute of Engineering and Technology, Ambi, India
  • Jadhav M Dept. of Computer Engineering, D. Y. Patil Institute of Engineering and Technology, Ambi, India
  • Awate A Dept. of Computer Engineering, D. Y. Patil Institute of Engineering and Technology, Ambi, India
  • Chaudhari I Dept. of Computer Engineering, D. Y. Patil Institute of Engineering and Technology, Ambi, India

DOI:

https://doi.org/10.26438/ijcse/v8i3.6770

Keywords:

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

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.

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.co m/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/n ews/ 2015/01/06/mobilityexperiment-parking-spotter- atlanta.html

Downloads

Published

2020-03-30
CITATION
DOI: 10.26438/ijcse/v8i3.6770
Published: 2020-03-30

How to Cite

[1]
S. Chopade, R. Nagawade, M. Jadhav, A. Awate, and I. Chaudhari, “Shortest Path Finder for Vehicle Parking(SPFVP)”, Int. J. Comp. Sci. Eng., vol. 8, no. 3, pp. 67–70, Mar. 2020.

Issue

Section

Research Article