Smart Parking System with IoT-Enabled using NodeMCU for Car Reservation in Public Areas
This paper presents the smart parking system using NodeMCU ESP8266 for web-based car reservation in public areas. Conventional parking system made car users take a long time to find the parking in public areas like shopping centers or malls. Therefore, its necessary to overcome this problem by implementing the smart parking system of car reservation. The system prototype integrates the Internet of Things (IoT) technology, NodeMCU ESP8266 (microcontroller), Ultrasonic Sensor HC-SR04 (vehicle detector sensor in parking area), IR obstacle sensor (entry and exit), SG90 Servo (at the entry and exit gate) and Firebase to create a real-time database connected to a web platform. The system provides real-time slot availability information via the web platform and LCD as information at the entrance gate. Users can easily make and cancel reservations with additional features such as OTP verification, and automatic booking cancellation have been successfully implemented. The prototype test method consist of calibration test, sending OTP test, automatic booking cancellation test and manual booking cancellation test. The result of calibration test on 10 cm range have a 80% success rate for ultrasonic sensor 1 as well as the result of ultrasonic sensor 2. While, additional features test result such as sending OTP, automatic booking cancellation, and manual booking cancellation having 100% success rate. It can be concluded that this prototype is successfully implemented and reach the goals with minimum error can be tolerated. The authors suggest to adding a keypad and payment system to this prototype for improvement in the future.
Authors
- Joni Welman Simatupang (ORCID: https://orcid.org/0000-0002-9417-6191)
- Yosep Salman Alfarizi
Institutions
- President University (ID)
Publication Details
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1109/iceecit63698.2024.10859544
- Primary Topic
- Smart Parking Systems Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00