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Smart Parking Sensors, Technologies and Application Based IoT

Prakruthi G R1 , Arun Biradar2

Section:Research Paper, Product Type: Journal Paper
Volume-07 , Issue-15 , Page no. 329-333, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7si15.329333

Online published on May 16, 2019

Copyright © Prakruthi G R, Arun Biradar . 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.

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IEEE Style Citation: Prakruthi G R, Arun Biradar, “Smart Parking Sensors, Technologies and Application Based IoT,” International Journal of Computer Sciences and Engineering, Vol.07, Issue.15, pp.329-333, 2019.

MLA Style Citation: Prakruthi G R, Arun Biradar "Smart Parking Sensors, Technologies and Application Based IoT." International Journal of Computer Sciences and Engineering 07.15 (2019): 329-333.

APA Style Citation: Prakruthi G R, Arun Biradar, (2019). Smart Parking Sensors, Technologies and Application Based IoT. International Journal of Computer Sciences and Engineering, 07(15), 329-333.

BibTex Style Citation:
@article{R_2019,
author = {Prakruthi G R, Arun Biradar},
title = {Smart Parking Sensors, Technologies and Application Based IoT},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {07},
Issue = {15},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {329-333},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1254},
doi = {https://doi.org/10.26438/ijcse/v7i15.329333}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i15.329333}
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=1254
TI - Smart Parking Sensors, Technologies and Application Based IoT
T2 - International Journal of Computer Sciences and Engineering
AU - Prakruthi G R, Arun Biradar
PY - 2019
DA - 2019/05/16
PB - IJCSE, Indore, INDIA
SP - 329-333
IS - 15
VL - 07
SN - 2347-2693
ER -

           

Abstract

the major problem in day to day life is parking of vehicles especially the car parking at an particular place. And this issue indirectly leads to traffic congestion. A basic concept of using IoT insmart parking services in the smart cities as an important application of the Internet of Things (IoT). the system can will be accessible through a mobile app or through the webpage and it can be used to monitor then to find the empty slots in that area. the user can be parking their vehicle in the empty slot through the mobile application and before only he can book his slot for the particular time in particular place.

Key-Words / Index Term

IoT Internet of things Car parking, Connectivity(c), Constrained Applicatio), Protocol (CoAP), End node(e), Hypertext transfer protocol(HTTP), Internet of Things (IoT), Internet protocol(IP), Message queuing transport telemetry protocol(MQTT), Processing node(p), Smart cities, Transmission control protocol(TCP),

References

[1] Zahid Mahmood1 ,Osama Haneef2 ,Nazeer Muhammad3 et al.,’towards a fully automated car parking system’, IET intel. Transp. Syst., 2019, vol. 13 iss.2, pp. 293-2302
[2]Muhammad, N., Bibi, N., Mahmood, Z., et al.: ‘Reversible integer wavelet transform for blind image hiding method’, 10.1371/journal.pone.0176979,2018
[3] Vijay Paidi1 ,Hasan Fleyeh2 ,Johan Hakansson3 ,Roger G.Nyber4 ,’smart parking sensors, technologies and application for open parking IoTs;a review’ IET intel. Transp. System 2018
[4] Alarik, O.: ‘Kameraövervakningslagen. 2018, https://
www.datainspektionen.se/lagar-och-regler/kameraovervakningslagen/,
accessed 25 February 2018
[5] Amir O. Kotb, Yao-Chun Shen, Xu Zhu, ‘iParker—A New Smart Car-Parking System Basedon Dynamic Resource allocation and pricing’
1524-9050 © 2017 IEEE
[6] National Travel Survey England, Department for Transport, London,
U.K.,Sep.2,2016[Online].Available: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/457752/nts2015-01.pdf.
[7] SFpark, 2015. Accessed on: Feb. 30, 2015. [Online]. Available: http://
sfpark.org/.
[8] G. M. Dias, B. Bellalta, and S. Oechsner, “Predicting occupancy trendsin Barcelona’s bicycle service stations using open data,” in Proc. SAIIntell. Syst. Conf. (IntelliSys), Nov. 2015, pp. 439–445.
[9] F. Marchal. (2014). Track matching. Accessed: Mar. 22, 2017. [Online].Available: https://mapmatching.3scale.net/
[10] Mahmood, Z., Khan, M., Jawad, M., et al.: ‘A parallel framework for objectdetection and recognition for secure vehicle parking’. 17th Int. Conf. on HighPerformance Computing and Communications (HPCC), New York, NY, USA,2014, pp. 892–895
[11]Statista: ‘Average age of light vehicles in the U.S. from 2003 to 2016 (in years)’, 2014, https://www.statista.com/statistics/261881/average-age-oflight-vehicles-in-the-united-states/, accessed 17 November 2017
[12] European Automobile Manufacturers Association: ‘Average vehicle age’,2013, http://www.acea.be/statistics/tag/category/average-vehicle-age,accessed 17 November 2013
[13] Thierer, A., Hagemann, R.: ‘Removing roadblocks to intelligent vehicles and driverless cars’, 2013
[14] Harding, J., Powell, G., Yoon, R., et al.: ‘Vehicle-to-vehicle communications: readiness of V2V technology for application’. 2012
[15] Gluer, S.I., Menendez, M., Meier, L.: ‘Using connected vehicle technology toimprove the efficiency of intersections’, Transp. Res. C, Emerge. Technol.,2014, 46, pp. 121–131
[16] Liu, K., Matty’s, G.: ‘Fast multiclass vehicle detection on aerial images’, IEEE Geosci. Remote Sens. Lett., 2015, 12, (9), pp. 1938–1942
[17] Zusheng, Z., Ming, T., Huaqiang, Y.: ‘A parking occupancy detectionalgorithm based on AMR sensor’, IEEE Sens. J., 2015, 15, (2), pp. 1261–1269
[18] Wen, X., Shao, L., Fang, W., et al.: ‘Efficient feature selection and
classification for vehicle detection’, IEEE Trans. Circuits Syst. Video
Technol., 2015, 25, (3), pp. 508–517
[19] Mahmood, Z., Nazeer, M., Arif, M.: ‘Boosting the accuracy of AdaBoost forobject detection and recognition’. 14th Int. Conf. on Frontiers of InformationTechnology (FIT), Islamabad, Pakistan, 2016, pp. 105–110[12] V. O. Ethos. (2015). Case Study: Guildford. Accessed: Apr. 26, 2015.[Online]. Available: http://geomii.co/case-study-1-guildford/
[20] Siemens. (2015). Integrated Smart Parking Solution. Accessed:
Apr.28,2017. [Online]. Available: www.mobility.siemens.com/mobility/
global/en/urbanmobility/roadsolutions/integratedsmartparkingsolution/Pages/integrated-smart-parking-solution.aspx
[21] Ford. (2015). Parking Spotter. Accessed: Apr. 28, 2017. [Online].
Available: https://media.ford.com/content/fordmedia/fna/us/en/news/
2015/01/06/mobility-experiment-parking-spotter-atlanta.html
[22] S. Parking. (2015). On-Street Parking. Accessed: Apr. 28, 2017.
[Online]. Available: http://www.smartparking.com/on-street
[23] Smart Santander. (2015). Santander Facility—Future Internet Researchand Experimentation. Accessed: Apr. 28, 2017. [Online]. Available:www.smartsantander.eu/index.php/testbeds/item/132-santandersummary
[24] P. Ball, R. Liao, C. Roman, S. Ou, and E. Pow, “Analysis of fixed andmobile sensor systems for parking space detection,” in Proc. 10th Int.
Symp. Commun. Syst., Netw. Digit. Signal Process. (CSNDSP), Jul. 2014,pp. 1–6.
[25] G. M. Dias, B. Bellalta, and S. Oechsner, “Predicting occupancy trendsin Barcelona’s bicycle service stations using open data,” in Proc. SAIIntell. Syst. Conf. (IntelliSys), Nov. 20145pp. 439–445.
[26] F. Marchal. (2014). Trackmatching. Accessed: Mar. 22, 2017. [Online].Available: https://mapmatching.3scale.net/
[27] P. Newson and J. Krumm, “Hidden Markov map matching through
noise and sparseness,” in Proc. 17th ACM SIGSPATIAL Int. Conf. Adv.
Geograph. Inf. Syst., New York, NY, USA, 2009, pp. 336–343.
[28] Idris, M., Leng, Y.Y., Tamil, E.M., et al.: ‘Саг park system: a review of smartparking system and its technology’, Inf. Technol. J., 2009, 8, (2), pp. 101–113
[29] Shaheen, S.: ‘Smart parking management field test: a bay area rapid transit(bart) district parking demonstration’ (Institute of Transportation Studies,Davis, CA, USA, 2005)
[30] Mouskos, K., Boile, M., Parker, N.A.: ‘Technical solutions to overcrowdedpark and ride facilities’ (New Jersey Department of Transportation, New
Jersey, NY, USA, 2007)
[31] Kianpisheh, A., Mustaffa, N., Limtrairut, P., et al.: ‘Smart parking system(SPS) architecture using ultrasonic detector’, Int. J. Softw. Eng. Appl., 2007,
6, (3), pp. 51–58[32] Idris, M., Tamil, E.M., Noor, N.M., et al.: ‘Parking guidance system utilizingwireless sensor network and ultrasonic sensor’, Inf. Technol. J., 2010, 8, (2),pp. 138–146
[33] Mathur, S., Jin, T., Kasturirangan, N., et al.: ‘Parknet: drive-by sensing ofroad-side parking statistics’. Proc. of the 8th Int. Conf. on Mobile Systems,Applications, and Services, ACM, San Francisco, CA, USA, 2010
[34] Waterson, B., Hansell, N., Chatterjee, K.: ‘Quantifying the potential savingsin travel time resulting from parking guidance systems-a simulation casestudy’, J. Oper. Res. Soc., 2001, 52, (10), pp. 1067–1077
[35] Rahman, M.S., Park, Y., Kim, K.-D.: ‘Relative location estimation of vehiclesin parking management system’. 11th Int. Conf. on IEEE AdvancedCommunication Technology, ICACT 2009, Phoenix Park, South Korea, 2009