Modern urban life is increasingly disrupted by one of its most overlooked problems: inefficient and outdated parking systems. From long vehicle queues to wasted time and fuel, the lack of automation in parking management continues to create unnecessary stress for both drivers and facility operators. The absence of intelligent monitoring often results in poor space utilization and chaotic movement within parking areas. This research aims to solve that problem by introducing a low-cost, autonomous parking solution designed for everyday environments. This paper presents an Automated Car Parking System using Arduino Uno, designed to streamline parking operations by minimizing human intervention. The system employs infrared (IR) sensors to detect vehicle entry and exit, a servo motor to control a gate mechanism, and an LCD display to show real-time availability of parking slots. When a car approaches, the system automatically checks for slot availability, updates the display, and opens the gate if space is available. This solution not only saves time but also enhances user convenience and reduces manual workload. The system is cost-effective, easy to implement, and scalable, making it suitable for small parking facilities such as schools, offices, and malls. Future improvements could include IoT integration, mobile app control, and RFID-based vehicle identification for enhanced functionality. This IoT-based improvement would allow cloud-based control for better accessibility, data analytics for usage trends, and remote parking occupancy monitoring. By incorporating wireless communication modules like Wi-Fi or LoRa, the system may be able to provide real-time slot information to a mobile application or centralized platform, enabling users to book spots and go straight to available spaces. Further lowering human participation could be achieved by automating billing and authentication through the use of RFID or number-plate recognition. The system can develop into an intelligent, networked solution that can support large-scale deployments and help with more intelligent urban transportation management by utilizing IoT technology.

Keywords:Automated Car Parking, Arduino Uno, Infrared (IR) Sensors, Smart City Infrastructure, Parking Slot Detection.

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1. Maurya K, Singh M, Jain N. Real time vehicle locking and tracking system using GSM and GPS technology—An anti-theft system. Int J Electron Comput Sci Eng. 2012;1(3):1075–1080.
2. Kshirsagar DD, Wani AS, Patil AR. Automatic smart parking system using Internet of Things (IoT). Int Res J Eng Technol. 2017;4(6):1983–1986.
3. Kumaravel N, Aravind M. Smart parking system using Arduino. Int J Sci Eng Res. 2018;9(4):317–320.
4. Getting started with Arduino. Arduino.cc; Available at

5. Kekre HB, Sarode TK. Sensor based car parking system. Int J Comput Appl. 2010;5(3):31–35.
6. Sharma S, Saini R. IoT enabled smart parking system. Int J Eng Res Technol. 2020;9(12):100–102.
7. Matin MA, Islam MM. Smart parking system: A review. In: Proc IEEE Int Conf Comput Inf Technol (ICCIT); 2018 Dec; Dhaka, Bangladesh. New York: IEEE; 2018. pp. 372–377.
8. Qureshi KN, Syed AA, Khan SA. A real-time smart parking system integrating IoT and cloud. J Commun Softw Syst. 2021;17(1):1–8.
9. Yadav A, Bansal M. Cost effective smart parking system with real time slot detection. Int J Innov Technol Explor Eng. 2019;8(9S):329–333.
10. Ghosh S, Biswas A, Bera R. A smart parking system using Arduino and IoT technologies. Int J Comput Appl. 2019;182(35):14–17.

Modern urban life is increasingly disrupted by one of its most overlooked problems: inefficient and outdated parking systems. From long vehicle queues to wasted time and fuel, the lack of automation in parking management continues to create unnecessary stress for both drivers and facility operators. The absence of intelligent monitoring often results in poor space utilization and chaotic movement within parking areas. This research aims to solve that problem by introducing a low-cost, autonomous parking solution designed for everyday environments. This paper presents an Automated Car Parking System using Arduino Uno, designed to streamline parking operations by minimizing human intervention. The system employs infrared (IR) sensors to detect vehicle entry and exit, a servo motor to control a gate mechanism, and an LCD display to show real-time availability of parking slots. When a car approaches, the system automatically checks for slot availability, updates the display, and opens the gate if space is available. This solution not only saves time but also enhances user convenience and reduces manual workload. The system is cost-effective, easy to implement, and scalable, making it suitable for small parking facilities such as schools, offices, and malls. Future improvements could include IoT integration, mobile app control, and RFID-based vehicle identification for enhanced functionality. This IoT-based improvement would allow cloud-based control for better accessibility, data analytics for usage trends, and remote parking occupancy monitoring. By incorporating wireless communication modules like Wi-Fi or LoRa, the system may be able to provide real-time slot information to a mobile application or centralized platform, enabling users to book spots and go straight to available spaces. Further lowering human participation could be achieved by automating billing and authentication through the use of RFID or number-plate recognition. The system can develop into an intelligent, networked solution that can support large-scale deployments and help with more intelligent urban transportation management by utilizing IoT technology.

Keywords:Automated Car Parking, Arduino Uno, Infrared (IR) Sensors, Smart City Infrastructure, Parking Slot Detection.

🔒 This is a subscription article

Full text is available to subscribers and institutional members. Please choose an option below to access it.

1. Maurya K, Singh M, Jain N. Real time vehicle locking and tracking system using GSM and GPS technology—An anti-theft system. Int J Electron Comput Sci Eng. 2012;1(3):1075–1080.
2. Kshirsagar DD, Wani AS, Patil AR. Automatic smart parking system using Internet of Things (IoT). Int Res J Eng Technol. 2017;4(6):1983–1986.
3. Kumaravel N, Aravind M. Smart parking system using Arduino. Int J Sci Eng Res. 2018;9(4):317–320.
4. Getting started with Arduino. Arduino.cc; Available at

5. Kekre HB, Sarode TK. Sensor based car parking system. Int J Comput Appl. 2010;5(3):31–35.
6. Sharma S, Saini R. IoT enabled smart parking system. Int J Eng Res Technol. 2020;9(12):100–102.
7. Matin MA, Islam MM. Smart parking system: A review. In: Proc IEEE Int Conf Comput Inf Technol (ICCIT); 2018 Dec; Dhaka, Bangladesh. New York: IEEE; 2018. pp. 372–377.
8. Qureshi KN, Syed AA, Khan SA. A real-time smart parking system integrating IoT and cloud. J Commun Softw Syst. 2021;17(1):1–8.
9. Yadav A, Bansal M. Cost effective smart parking system with real time slot detection. Int J Innov Technol Explor Eng. 2019;8(9S):329–333.
10. Ghosh S, Biswas A, Bera R. A smart parking system using Arduino and IoT technologies. Int J Comput Appl. 2019;182(35):14–17.