Authors :
Jhonrid Agustine P. Morata; Karl Verlex S. Novilla; Louji F. Lapaña; Jubert G. Estimada; Cedie E. Gabriel; MIT; Reginald S. Prudente; MIT
Volume/Issue :
Volume 10 - 2025, Issue 5 - May
Google Scholar :
https://tinyurl.com/ymfb3b47
DOI :
https://doi.org/10.38124/ijisrt/25may641
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Increasing numbers of cars in universities have brought rising parking management issues, including congestion,
unauthorized parking, as well as safety concerns. Traditional parking systems rely on manual checks and do not include
real-time tracking of data, creating inefficiencies as well as safety risks for the users and employees. This work outlines the
SEAIT Smart Student Parking System that will improve these issues through the use of advanced technologies such as real-
time tracking, space reservation automation, as well as advanced safety features. The work will examine how a smart parking
system can maximize car management, safety, and optimize parking experience for users. Utilizing the mixed-methods
approach, 50 respondents, who included university employees as well as students, were interviewed as well as surveyed.
Findings indicate that user satisfaction with the system's real-time update as well as the system's navigation is high, with
46% of users reporting notable time savings when finding parking. The work demonstrates that feedback from the users is
paramount in improving system functionality as well as system design. Overall, the SEAIT Smart Student Parking System
documents the capability of smart technologies in changing university parking management, presenting an extendible
approach for other universities facing the same challenges.
Keywords :
Smart Parking System, Real-Time Tracking, Parking Management, Space Reservation, University Parking, Safety Features, User Satisfaction, Mixed-Methods Research, Parking Navigation, SEAIT, Automated Parking, Campus Congestion.
References :
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- Brown, L., & Wilson, J. (2019). Campus parking management: Security and access control challenges. Journal of Urban Technologies, 26(2), 125–138.
- Chen, L. (2019). AI-driven solutions in smart parking management systems. Journal of Transportation Technologies, 9(1), 11–23.
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- Garcia, M., & Torres, R. (2018). Smart mobility and the cloud: University campus applications. Journal of Smart and Sustainable Cities, 2(1), 45–52.
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- Machado, L. S., Ferreira, L. M., & Cunha, J. R. (2018). Environmental benefits of intelligent parking systems. Journal of Cleaner Production, 172, 3044–3056.
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- Nielsen, J. (1994). Usability engineering. Academic Press.
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- Shoup, D. C. (2011). The high cost of free parking. American Planning Association.
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- Zheng, Y., He, S., & Zhang, X. (2021). IoT and AI integration in urban smart parking systems. Sensors, 21(3), 701.
Increasing numbers of cars in universities have brought rising parking management issues, including congestion,
unauthorized parking, as well as safety concerns. Traditional parking systems rely on manual checks and do not include
real-time tracking of data, creating inefficiencies as well as safety risks for the users and employees. This work outlines the
SEAIT Smart Student Parking System that will improve these issues through the use of advanced technologies such as real-
time tracking, space reservation automation, as well as advanced safety features. The work will examine how a smart parking
system can maximize car management, safety, and optimize parking experience for users. Utilizing the mixed-methods
approach, 50 respondents, who included university employees as well as students, were interviewed as well as surveyed.
Findings indicate that user satisfaction with the system's real-time update as well as the system's navigation is high, with
46% of users reporting notable time savings when finding parking. The work demonstrates that feedback from the users is
paramount in improving system functionality as well as system design. Overall, the SEAIT Smart Student Parking System
documents the capability of smart technologies in changing university parking management, presenting an extendible
approach for other universities facing the same challenges.
Keywords :
Smart Parking System, Real-Time Tracking, Parking Management, Space Reservation, University Parking, Safety Features, User Satisfaction, Mixed-Methods Research, Parking Navigation, SEAIT, Automated Parking, Campus Congestion.