With a surge in the university’s student and staff population, parking problems and congestion have rapidly intensified. The recent inclusion of women drivers, particularly during official working hours, has exacerbated these challenges. This pressing issue underscores the critical necessity for a structured approach to managing university entries and overseeing parking at the gates. The proposed smart parking management system aims to address these concerns by introducing a design concept that restricts unauthorized access and provides exclusive parking privileges to authorized users. Through image processing, the system identifies available parking spaces, relaying real-time information to users via a mobile application. This comprehensive solution also generates detailed reports (daily, weekly, and monthly), aiding university safety authorities in future gate management decisions.
References
[1]
Aisha, S. (2020) The Solution to Congestion of Traffic Is “Smart Parking”. Medium. https://aishah-07.medium.com/the-solution-to-congestion-of-traffic-is-smart-parking-885435664a
[2]
Crowder, M. and Walton, C.M. (2003) Developing an Intelligent Parking System for the University of Texas at Austin (No. SWUTC/03/167229-1). Southwest Region University Transportation Center, Center for Transportation Research, University of Texas at Austin.
[3]
LeCun, Y., Bengio, Y. and Hinton, G. (2015) Deep Learning. Nature, 521, 436-444. https://doi.org/10.1038/nature14539
[4]
Edge AI Vision (2020) Object Recognition: 3 Things You Need to Know. https://www.edge-ai-vision.com/2020/04/object-recognition-3-things-you-need-to-know/
[5]
Bhattacharyya, J. (2020) Step-by-Step Guide to Object Detection Using Roboflow. Analytics India Magazine. https://analyticsindiamag.com/step-by-step-guide-to-object-detection-using-roboflow/
[6]
Mehta, H., Kanani, P. and Lande, P. (2019) Google Maps. International Journal of Computer Applications, 178, 41-46. https://doi.org/10.5120/ijca2019918791
[7]
Kaarthik, K., Sridevi, A. and Vivek, C. (2017) Image Processing Based Intelligent Parking System. 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE), Karur, 27-28 April 2017, 1-4. https://doi.org/10.1109/ICEICE.2017.8191876
[8]
Souissi, R., Cheikhrouhou, O., Kammoun, I. and Abid, M. (2011) A Parking Management System Using Wireless Sensor Networks. ICM 2011 Proceeding, Hammamet, 19-22 December 2011, 1-7. https://doi.org/10.1109/ICM.2011.6177403
[9]
Bonde, D.J., Shende, R.S., Kedari, A.S., Gaikwad, K.S. and Bhokre, A.U. (2014) Automated Car Parking System Commanded by Android Application. 2014 International Conference on Computer Communication and Informatics, Coimbatore, 3-5 January 2014, 1-4. https://doi.org/10.1109/ICCCI.2014.6921729
[10]
Mahmood, Z., Haneef, O., Muhammad, N. and Khattak, S. (2019) Towards a Fully Automated Car Parking System. IET Intelligent Transport Systems, 13, 293-302. https://doi.org/10.1049/iet-its.2018.5021
[11]
Thaki (2021) Smart Cities Solutions for Communities. Information Technology Company. https://apps.apple.com/sa/app/thaki/id1576005384?l=ar
[12]
Mawgifi: Parking Made Easy! Locate and Pay for Parking at Both on and Off-Street Locations. [Mobile Application Software]. https://apps.apple.com/sa/app/mawgif-%D9%85%D9%88%D9%82%D9 %81/id1006045300?l=ar
[13]
Tapclay Mobile LLp (2017) Traffic Cam+ Pro. https://apps.apple.com/sa/app/traffic-cam/id482325002?l=ar
[14]
(2017) QParking (Q-Mobile Middle East Co.). [Mobile Application Software]. https://apps.apple.com/sa/app/qparking/id1251367364?l=ar
