A Literature Review for Understanding the Development of Smart Parking Systems
DOI:
https://doi.org/10.52661/j_ict.v5i1.196Keywords:
Smart parking systems,, AI-based smart parking solutions, Data analytics, IoT, User experienceAbstract
Smart parking systems that use AI, data analytics, and IoT are a result of urbanization and rising automobile utilization.
These systems are designed to enhance user experience, shorten search times, and make the most of available space. AI
analyzes real-time data, proposes open places, and projects demand in the future. Infrastructure costs, stakeholder
cooperation, and system compatibility continue to be issues, nevertheless. To maintain user confidence, privacy, and
ethical usage in the study of smart parking systems, in-depth literature reviews are essential. The systematic literature
review (SLR) method was used to examine AI-based smart parking solutions, such as wireless sensor networks, ultrasonic
sensor nodes, reservation-based systems, intelligent parking guidance, IoT-based on-street infraction monitoring, central
parking management systems, and energy-efficient automated solutions. Budgetary restrictions, stakeholder participation,
interoperability concerns, data privacy, security, and moral ambiguities are all problems. To test scenarios, understand
rules, processes, and algorithms in limited contexts, researchers need to develop reliable outdoor sensor and data
technologies for outside application.
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Copyright (c) 2023 Nanang Cahyadi; Pietra Dorand; Nurwan Reza Fachrur Rozi, Laksamana Aidzul Haq, Refsi Indra Maulana
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