research-article

An embedded sensing approach to monitoring parking lot occupancy

Authors:

J. A. Propst,

K. M. Poole,

J. O. HallstromAuthors Info & Claims

ACMSE '12: Proceedings of the 50th annual ACM Southeast Conference

Pages 309 - 314

https://doi.org/10.1145/2184512.2184584

Published: 29 March 2012 Publication History

Get Access

Abstract

Embedded sensor networks are transforming the computing landscape, enabling a host of new applications that are fundamentally changing the way we monitor both the natural and built environment. In this paper, we focus on the latter, with an application of embedded sensing technology to parking lot occupancy monitoring. With a focus on reliability and cost effectiveness, our solution relies on paired sets of inexpensive sonar rangefinders and an in situ vehicle detection algorithm. We present the design and implementation of this system, along with detailed experimental results from a campus parking lot study.

References

[1]

G. Eidson, S. Esswein, J. Gemmill, J. Hallstrom, T. Howard, C. Post, C. Sawyer, and K. W. D. White. The South Carolina Digital Watershed: End-to-end support for realtime management of water resources. International Journal of Distributed Sensor Networks, pages 8pp, ID 970868, 2010.

Google Scholar

[2]

S. Glaser. Some real-world applications of wireless sensor nodes. In SPIE Symposium on Smart Structures & Materials/NDE 2004, pages 344--355, Hoboken, NJ USA, March 2004. SPIE Press.

Crossref

Google Scholar

[3]

Y. Keiichi, M. Morimichi, Y. Shin, M. Katsuaki, and S. Shuichi. A parking lot monitoring system using image processing. Transactions of the Institute of Electrical Engineers of Japan, 120-C(6):784--790, 2000.

Google Scholar

[4]

S. Lee, D. Yoon, and A. Ghosh. Intelligent Parking Lot Application Using Wireless Sensor Networks. Technical report, University of Southern California, November 2009. cisedu.us/storage/cts/2008/sangwonl_at_usc.edu-2008.02.24-05.22.18-CTS08LeeYoonGhosh.pdf.

Google Scholar

[5]

G. Mabry, D. Henderson, and W. Braughton. Parking garage monitoring system. web.eecs.utk.edu/~xwang/ece455_09/project/final/Group7.pdf, May 2009.

Google Scholar

[6]

MaxBotix Inc. Lv-maxsonar-ez4 high performance sonar range finder. www.maxbotix.com/documents/MB1040_Datasheet.pdf, January 2012. (access).

Google Scholar

[7]

E. Miluzzo, N. Lane, K. Fodor, R. Peterson, H. Lu, M. Musolesi, S. Eisenman, X. Zheng, and A. Campbell. Sensing meets mobile social networks: The design, implementation and evaluation of the CenceMe application. In The 6^th ACM Conference on Embedded Network Sensor Systems, pages 337--350, New York, NY USA, November 2008. ACM.

Digital Library

Google Scholar

[8]

National Highway Traffic Safety Administration. Bumper q&as. www.nhtsa.gov/cars/problems/studies/bumper/index.html, November 2001.

Google Scholar

[9]

Smart USA. Pure Coupe (datasheet). www.smartusa.com/models/pure-coupe/overview.aspx, January 2012. (access).

Google Scholar

[10]

US Department of Transportation. Lane width. safety.fhwa.dot.gov/geometric/pubs/mitigationstrategies/chapter3/3_lanewidth.htm, October 2010.

Google Scholar

[11]

L. Yoon and K. Cho. Vision based parking lot monitoring: Available parking spaces information. cseweb.ucsd.edu/classes/wi09/cse190-a/reports/lyoon_kcho.pdf, March 2009.

Google Scholar

Cited By

View all

Diaz Ogás MFabregat RAciar S(2020)Survey of Smart Parking SystemsApplied Sciences10.3390/app1011387210:11(3872)Online publication date: 2-Jun-2020
https://doi.org/10.3390/app10113872
Mukherjee TGupta SSen PPandey VKarmakar K(2018)Go-Park: A Parking Lot Allocation System in Smart CitiesAdvances in Computing and Data Sciences10.1007/978-981-13-1813-9_16(158-166)Online publication date: 26-Oct-2018
https://doi.org/10.1007/978-981-13-1813-9_16
Chaudhary HBansal PValarmathi B(2017)Advanced CAR parking system using Arduino2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS.2017.8014701(1-5)Online publication date: Jan-2017
https://doi.org/10.1109/ICACCS.2017.8014701
Show More Cited By

Index Terms

An embedded sensing approach to monitoring parking lot occupancy
1. Applied computing
2. Computer systems organization
  1. Embedded and cyber-physical systems
  2. Real-time systems

Recommendations

Vision Based Approach for Adaptive Parking Lots Occupancy Estimation
Abstract
In the large cities, it remains difficult and expensive to create more parking spaces for vehicles since they have almost reached their full occupancy. The lack of available parking places leads to the problem of traffic congestion and ...
Predicting truck parking occupancy using machine learning
Abstract
The logistics industry faces an increasing shortage of truck parking spots. This results in illegal parking or fatigued driving with hazardous consequences for traffic safety, as truck drivers have no insight into future availability of parking ...
e-Parking System in Corporate Parking Systems by Implementing Optical Character Recognition
SIET '21: Proceedings of the 6th International Conference on Sustainable Information Engineering and Technology

The COVID-19 pandemic has made the society to do mandatory health and safety protocols. The drivers are also required to take part in these protocols to minimize the virus spread. The automated parking systems can help to minimize the direct human ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACMSE '12: Proceedings of the 50th annual ACM Southeast Conference

March 2012

424 pages

ISBN:9781450312035

DOI:10.1145/2184512

Conference Chair:
Randy K. Smith
University of Alabama
,
Program Chair:
Susan V. Vrbsky
University of Alabama

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 March 2012

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

Division of Computer and Network Systems

Conference

ACM SE '12

Sponsor:

ACM SE '12: ACM Southeast Regional Conference

March 29 - 31, 2012

Alabama, Tuscaloosa

Acceptance Rates

ACMSE '12 Paper Acceptance Rate 28 of 56 submissions, 50%;

Overall Acceptance Rate 502 of 1,023 submissions, 49%

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
354
Total Downloads

Downloads (Last 12 months)6
Downloads (Last 6 weeks)0

Reflects downloads up to 26 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Diaz Ogás MFabregat RAciar S(2020)Survey of Smart Parking SystemsApplied Sciences10.3390/app1011387210:11(3872)Online publication date: 2-Jun-2020
https://doi.org/10.3390/app10113872
Mukherjee TGupta SSen PPandey VKarmakar K(2018)Go-Park: A Parking Lot Allocation System in Smart CitiesAdvances in Computing and Data Sciences10.1007/978-981-13-1813-9_16(158-166)Online publication date: 26-Oct-2018
https://doi.org/10.1007/978-981-13-1813-9_16
Chaudhary HBansal PValarmathi B(2017)Advanced CAR parking system using Arduino2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS)10.1109/ICACCS.2017.8014701(1-5)Online publication date: Jan-2017
https://doi.org/10.1109/ICACCS.2017.8014701
Greengard S(2015)Between the linesCommunications of the ACM10.1145/275495458:6(15-17)Online publication date: 21-May-2015
https://dl.acm.org/doi/10.1145/2754954
Nandugudi AKi TNuessle CChallen GBrush AFriday AKientz JScott JSong J(2014)PocketParkerProceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2632048.2632098(963-973)Online publication date: 13-Sep-2014
https://dl.acm.org/doi/10.1145/2632048.2632098
Aliyu MChizari HAbdullah A(2013)Integrated sensor and RFID network node placement in disaster monitoring applications2013 IEEE International Conference on RFID-Technologies and Applications (RFID-TA)10.1109/RFID-TA.2013.6694534(1-5)Online publication date: Sep-2013
https://doi.org/10.1109/RFID-TA.2013.6694534

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Vision Based Approach for Adaptive Parking Lots Occupancy Estimation

Predicting truck parking occupancy using machine learning

e-Parking System in Corporate Parking Systems by Implementing Optical Character Recognition