Open AccessA modest IoT based smart parking system with business analytics integration
Author(s) -
B. Murugan,
Manoj Kumar Rajagopal,
Tarun Rahul Kannan,
G. Kathiresan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2115/1/012018
Subject(s) - internet of things , scalability , analytics , revenue , computer science , service (business) , parking guidance and information , parking lot , computer security , transport engineering , data science , business , database , engineering , marketing , finance , civil engineering
Traditional parking systems are challenging and tedious as it is occupied at irregular intervals for various reasons. Without proper design, this could lead to loss of business revenue in commercial establishments. The objective of this study is to implement an IoT-based system to address issues faced by visitors at parking lots. The proposed system would include capabilities that can display the status of availability of the lot it is placed in and will report the status through a web service. This availability status is transmitted through WiFi, which can provide insight into the parking activities of the establishment. This provides valuable data for the use of business analytics. This study highlights the advantages a basic and low-cost IoT-based Smart Parking Lot system could present. This is visualized using custom and open-source parking datasets. These features provide the basis for discussion on future improvements and scalable parking solutions.