Recalling the Position of the Vehicles in IOI City Mall Parking

Puteri Seroja Sudin; Mariah Awang; Faridahanim Ahmad; Nuramidah Hamidon; Yuhainis Abdul Talib; Luqman Hykim Abdul Razak; Kukuh Lukiyanto

doi:10.58915/aset.v4i2.2276

Authors

Puteri Seroja Sudin University Tun Hussein Onn Malaysia
Mariah Awang Universiti Tun Hussein Onn Malaysia
Faridahanim Ahmad Universiti Teknologi Malaysia
Nuramidah Hamidon Universiti Tun Hussein Onn Malaysia
Yuhainis Abdul Talib Universiti Teknologi MARA
Luqman Hykim Abdul Razak IOI Resort City
Kukuh Lukiyanto Bina Nusantara University

DOI:

https://doi.org/10.58915/aset.v4i2.2276

Keywords:

Recalling, Position, Vehicles, Locates

Abstract

This study addresses the practical challenge users face in locating parked vehicles within large shopping malls, focusing on IOI City Mall, Malaysia. The selection of IOI City Mall is supported by documented user complaints and media reports highlighting frequent difficulties in recalling vehicle positions due to its extensive parking capacity of over 16,600 bays. A prototype navigation system has been proposed and developed using Blender software to simulate guided pathways within selected basement zones of the mall. Due to technical and privacy constraints, the project shifted from initial plans involving number plate data management to a focus on parking bay navigation. The approach employs qualitative methods, including interviews with parking management personnel, site visits, and expert evaluation involving four professionals with relevant experience. The Blender-based prototype offers 3D visualization and custom pathway navigation to guide users effectively to their parking spots. Expert feedback, summarized thematically around usability, design, and scalability, praises the innovative user interface but recommends enhancements such as real-time updates and interactive elements. This research contributes a foundational simulation model for parking navigation, outlining a roadmap for integration with existing systems. Limitations include the prototype nature of the application and the absence of live user testing, which are proposed areas for future research.

References

[1] Yunus, A. R., & Vinod, B. R. Fuzzy Logic Vehicle Locating System for Indoor Parking Lots. 9th International Conference on Smart Computing and Communications: Intelligent Technologies and Applications, ICSCC 2023 (2023) pp. 616–621.

[2] Fahim, A., Hasan, M., & Chowdhury, M. A. Smart parking systems: comprehensive review based on various aspects. Heliyon, vol 7, issue 5 (2021).

[3] Raj, A., & Shetty, S. D. Smart parking systems technologies, tools, and challenges for implementing in a smart city environment: a survey based on IoT & ML perspective. International Journal of Machine Learning and Cybernetics (2024).

[4] Suresh, N. M’sian Family Forgets Where They Parked At IOI Putrajaya, Finds Car After 1 Hour Of Searching. Weird Kaya (2024).

[5] Anjarwani, S. E., Illina, H. I., & Agitha, N. Sistem Informasi Daya Tampung Area Parkir Pada Pusat Perbelanjaan Untuk Meningkatkan Layanan Penggunaan Parkir (Studi Kasus: Lombok Epicentrum Mall). Journal of Computer Science and Informatics Engineering (J-Cosine), vol 6, issue 1 (2022) pp. 1–9.

[6] Fathy, H., Elbasiony, R., & Faheem, M. T. Finding a parked car location in a multi-storey building without GPS service. International Journal of Interactive Mobile Technologies, vol 14, issue 10 (2020) pp. 7–21.

[7] Razak, S. F. A., Liew, C. L., Lee, C. P., & Lim, K. M. Interactive android-based indoor parking lot vehicle locator using QR-code. 2015 IEEE Student Conference on Research and Development, SCOReD 2015 (2015) pp. 261–265.

[8] Ren, X., Zhu, S., Liu, F., Li, H., Li, H., Xiao, X., Gao, R., & Zhang, Z. Help You Locate the Car: A Smartphone-Based Car-Finding System in Underground Parking Lot. IEEE Sensors Journal, vol 24, issue 5 (2024) pp. 7107–7118.

[9] Tripathi, S., Jain, S., Shetty, S., & Sharma, V. Automatic Number Plate Recognition System (ANPR): The Implementation. International Journal of Innovative Technology and Exploring Engineering (IJITEE), vol 10, issue 8 (2021) p. 5.

[10] Shrivastava, S., Bardoel, E. A., Djurkovic, N., Rajendran, D., & Plueckhahn, T. Co-creating curricula with industry partners: A case study. International Journal of Management Education, vol 20, issue 2 (2022).

[11] Insanudin, E. Implementation of Python source code comparison results with Java using bubble sort method. Journal of Physics: Conference Series, vol 1280, issue 3 (2019).

[12] Muis, U., Afwan, Y., & Adin, Z. M. Lokalisasi Plat Nomor Dengan Java Menggunakan Deteksi Tepi Canny Dan Filter Morfologi. Seminar Nasional Dies Natalis 62, vol 1 (2023) pp. 477–486.

[13] Hollier, J. M., Strickland, T. A., Fordis, C. M., Shulman, R. J., & Thompson, D. Expert review of child and caregiver critiques of a therapeutic guided imagery therapy mobile application targeting disorders of gut–brain interaction in children. Digital Health, vol 10 (2024).

[14] Mohamed, K., Sidi, F., Ishak, I., Jabar, M. A., & Hamzah, S. R. An Improved User Authentication Model for Mobile Application Systems: An Expert Review Verification. International Journal of Advanced Trends in Computer Science and Engineering, vol 8, issue 4 (2019) pp. 469–473.

[15] Dumas, J., Sorce, J., & Virzi, R. Expert Reviews: How Many Experts is Enough?. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol 39, issue 4 (1995) pp. 228-232.

[16] Azlina, N., Ahmad, N., Iqbal, A., Suhaimi, H., & Lokman, A. M. Conceptual Model of Augmented Reality Mobile Application Design (ARMAD) to Enhance user Experience: An Expert Review. International Journal of Advanced Computer Science and Applications, vol 13, issue 10 (2022).

[17] Shelkikar, R. P., & Jagade, S. M. Automatic Number Plate Detection Using Optimal Black Window Evolutionary Transfer Moth Fly with Alex Net Classification Approach. Wireless Personal Communications, vol 133, issue 3 (2023) pp. 1619–1642.

[18] Yuki, G. A study on smart parking system using IOT technology in shopping mall. Universiti Tunku Abdul Rahman (UTAR) (2023).

[19] Lewis, J., Abbas, R., Reisenfeld, S., & Maric, S. Little locator: A smartphone parking-location application. 2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018 (2019) pp. 188–192.

[20] Rizky, V. V., Yohan, Gaol, F. L., & Oktavia, T. The designing the smart parking finder. Journal of Communications, vol 15, issue 7 (2020) pp. 588–595.

[21] Heussen, K. et al. Test Procedure and Description for System Testing. In: European Guide to Power System Testing. Springer International Publishing (2020).