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.
|Title of host publication||Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering|
|Subtitle of host publication||KSE 2019|
|Editors||Josiane Mothe, Le Hoang Son, Nguyen Tran Quoc Vinh|
|Publisher||IEEE, Institute of Electrical and Electronics Engineers|
|Number of pages||5|
|Publication status||Published - 07 Dec 2019|
|Event||11th 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 2019 → 26 Oct 2019
|Name||Proceedings of 2019 11th International Conference on Knowledge and Systems Engineering, KSE 2019|
|Conference||11th IEEE International Conference on Knowledge and Systems Engineering|
|Period||24/10/19 → 26/10/19|
|Other||The 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).
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).  (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