Investigating the use of machine learning for smart parking applications

Jonathan Barker, Sabih Rehman

Research output: Book chapter/Published conference paperConference paper

Abstract

Traffic congestion caused by greater competition for limited parking spaces in the world’s major cities is a growing problem. To overcome this challenge, a study has been carried out to use a smart parking application that utilises machine learning algorithms to help predict future car parking occupancy rates at Port Macquarie campus of Charles Sturt University (CSU), Australia. Parking data was collected over a five-week period and the WEKA Machine Learning Workbench was used to identify high-performing algorithms for predicting future parking occupancy rates. In the initial phase, some well known algorithms were used to investigate occupancy rates. In the next phase of the study, student class timetable data was used to enhance prediction accuracy and investigate parking occupancy trends. While most algorithms proved to be accurate in stable conditions, the KStar algorithm appeared to produce better results during highly variable conditions.
Original languageEnglish
Title of host publicationProceedings of 2019 11th International Conference on Knowledge and Systems Engineering
Subtitle of host publicationKSE 2019
EditorsJosiane Mothe, Le Hoang Son, Nguyen Tran Quoc Vinh
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-5
Number of pages5
ISBN (Electronic)9781728130026
ISBN (Print)9781728130033
DOIs
Publication statusPublished - 07 Dec 2019
Event11th IEEE International Conference on Knowledge and Systems Engineering: KSE 2019 - University of Education and Science, The University of Danang, Da Nang, Viet Nam
Duration: 24 Oct 201926 Oct 2019
http://kse2019.ued.udn.vn/welcome
https://ieeexplore.ieee.org/xpl/conhome/8909968/proceeding (proceedings)
http://kse2019.ued.udn.vn/sites/default/files/KSE%202019%20Program%20Ver13-23-10-2019%20-%20print.pdf (program)

Publication series

NameProceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019

Conference

Conference11th IEEE International Conference on Knowledge and Systems Engineering
CountryViet Nam
CityDa Nang
Period24/10/1926/10/19
OtherThe 11th KSE is an international forum for presentation, discussion, and exchange of the state-of-the-art research, development, and applications in the field of knowledge and systems engineering.

The main objective of the KSE is to bring together researchers, practitioners and students not only to share research results and practical applications but also to foster collaboration in the field. The KSE this year will be held in Da Nang, a coastal and tourism city with beautiful beaches and a lot of exciting experiences. The conference will be co-organized by The University of Da Nang - University of Science and Education (UD-USE) and VNU University of Engineering and Technology (VNU-UET).
Internet address

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  • Cite this

    Barker, J., & Rehman, S. (2019). Investigating the use of machine learning for smart parking applications. In J. Mothe, L. H. Son, & N. T. Quoc Vinh (Eds.), Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering : KSE 2019 (pp. 1-5). [8919291] (Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/KSE.2019.8919291, https://doi.org/10.1109/KSE.2019.8919291