CAR PARKING SYSTEM USING ARDUINO | IJCT Volume 13 – Issue 2 | IJCT-V13I2P80
International Journal of Computer Techniques
ISSN 2394-2231
Author
Prof. Sheetal Mali, Pruthviraj.K.Chavan, Aishwariya Nandi, Pranav Patil, Shreenand Gade
Abstract
As technology continues to evolve, automation has increasingly become an integral part of modern life, offering both convenience and efficiency. One of the most notable applications of automation is in parking systems, which are essential for managing limited parking spaces. This project is centred on developing an Arduino-based Car Parking System designed to enhance the efficiency of parking facilities through automation. The system integrates an Arduino UNO microcontroller with IR sensors, a servo motor, and an I2C LCD to detect vehicle presence, control entry barriers, and provide real-time updates on parking slot availability. By streamlining the parking process, this system optimises space utilisation, reduces the need for human intervention, and enhances the overall parking experience.
With the increasing number of vehicles worldwide, parking congestion has emerged as a significant challenge in urban areas. Inefficient parking management results in wasted time, excessive fuel consumption, and driver frustration. This project is intended to mitigate such challenges by introducing an organised and automated approach to parking management. Real-time monitoring ensures that available parking spaces are accurately displayed, thereby minimising unnecessary vehicle movement within the parking area.
Keywords
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Conclusion
The Arduino-based Car Parking System successfully addresses the growing need for efficient parking space management in urban areas, commercial buildings, and industrial zones. By incorporating automated vehicle detection, real-time availability updates, and barrier control, the system eliminates the inefficiencies of traditional parking management. The integration of infrared sensors, LCDs, and servo motors ensures smooth operation and enhances user convenience. This project highlights the importance of automation in parking solutions, demonstrating how technology can reduce human intervention and optimise resource utilisation. Compared to conventional parking systems, which rely on manual monitoring or outdated infrastructure, this system provides real-time slot tracking and minimises vehicle congestion. The cost-effective nature of the project makes it accessible for small-scale and large-scale implementations, ensuring a wider impact across different sectors. Furthermore, the energy efficiency of the system is a key advantage. By reducing unnecessary vehicle movement and idling, the solution contributes to lower fuel consumption and reduced carbon emissions. This aligns with modern sustainability goals, making it a viable addition to smart city infrastructures. Additionally, with the integration of IoT and cloud-based monitoring, the system has the potential to be upgraded into a fully
automated, AI-driven parking management system in the future. The scalability of the project is another major strength. The system can be expanded by integrating multiple sensors and controllers to accommodate larger parking areas, multi-level parking lots, and public parking facilities. Future developments can include mobile app integration, online reservation features, and AI-powered analytics for predictive parking availability.
The scalability of the project is another major strength. The system can be expanded by integrating multiple sensors and controllers to accommodate larger parking areas, multi-level parking lots, and public parking facilities. Future developments can include mobile app integration, online reservation features, and AI-powered analytics for predictive parking availability. These enhancements will further improve user experience and streamline traffic flow in densely populated areas.
References
1.Doe, B. (Year). “Arduino Programming for Access Control Systems
2.Arduino. (Year). “Arduino Uno Documentation.” Retrieved from https://www.arduino.cc/en/Main/ArduinoB oardUno
3.RFID Manufacturer’s Name. (Year). “RFID Technology Overview.” Retrieved from https://www.rfidmanufacturer.com/technol ogy-overview
4.Arduino Official Documentation – https://www.arduino.cc/
5.I2C LCD Display Guide – https://www.sparkfun.com/tutorials
6.IR Sensor Working Principle – https://www.electronics-tutorials.ws/
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How to Cite This Paper
Prof. Sheetal Mali, Pruthviraj.K.Chavan, Aishwariya Nandi, Pranav Patil, Shreenand Gade (2026). CAR PARKING SYSTEM USING ARDUINO. International Journal of Computer Techniques, 13(2). ISSN: 2394-2231.
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