Smart Parking System

Smart parking is a parking space that utilizes advanced technology and infrastructure to address parking issues in modern urban environments and efficiently manage parking. Such parking spaces integrate various technological elements to optimize the parking process and provide a more convenient experience for vehicle users.
To implement such a system, digital twin technology must be applied to create a digital representation identical to the real-world parking lot and transmit data. The key features and functions include the following:

Smart parking offers various features that improve parking management and user experience using various advanced technologies. These features benefit both parking lot administrators and vehicle users, helping to solve urban parking problems. Here is a list of key features typically offered in smart parking:

AI cameras are camera systems based on advanced computer vision technology. They are used to monitor and analyze all activities within the parking lot. For example, they can real-time detect and recognize vehicle license plates, vehicle types, colors, vehicle locations, and directions. This information is used to optimize parking lot operations and provide parking information to vehicle users. It is also used to identify and manage illegal parking and violations.

IoT is a technology that collects and transmits data through various sensors and devices installed in the parking lot. Sensors collect various real-time information such as vehicle movements, parking slot availability, temperature, humidity, and more. This information is used for parking lot operations and management, monitoring parking lot conditions, and providing a convenient parking environment for vehicle users.

Mobile apps and web services are used to provide parking information to vehicle users and manage the parking process. Users can use the mobile app to check the location of empty parking spaces, make reservations, pay parking fees, and monitor parking status. Additionally, web services allow users to access and manage parking information from computer browsers, providing various conveniences to users.

Big data analysis refers to the process of in-depth analysis of the large amount of data collected in smart parking lots. The collected data is analyzed from various aspects, including user behavior patterns, parking lot congestion, and the effectiveness of parking fee policies.

Some parking lots in South Korea operate smart parking using beacon technology. Beacons are integrated with mobile apps to provide real-time parking space availability and manage vehicle entry and exit. They also provide users with parking information through the mobile app and facilitate easy payments.

Los Angeles has implemented smart parking lots to solve parking problems in downtown areas and provide real-time parking information services. Through this service, drivers can check the location of available parking spaces and parking fee information on a mobile app, making parking more convenient.

Some parking lots in Shanghai use autonomous parking robots to automatically park and retrieve vehicles in parking spaces. Drivers can utilize the robot system by dropping off their vehicles at the entrance of the parking lot, reducing parking time and enhancing convenience.

Some parking lots in Tokyo automatically calculate and process parking fees through license plate recognition technology and mobile apps. This allows drivers to leave the parking lot quickly and eliminates the hassle of paying with cash or credit cards.

In the future, smart parking is expected to play an even more crucial role, integrating with autonomous vehicles to optimize parking processes and utilize automatic parking features. Furthermore, advancements in high-speed data communication technology will facilitate real-time data sharing, while machine learning and artificial intelligence technologies will enhance parking predictions and user pattern analysis. Smart parking will be integrated into smart city projects as a key component for traffic management and control, and parking data will be used for urban planning and congestion management. Security technologies are also expected to be further strengthened, ensuring the safety of vehicles and parking facilities.