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Journal articles on the topic 'IOT based Smart parking system'

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Published: 7 June 2025

Last updated: 17 July 2025

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Kumari, CH Lakshmi, Dharaneeshwar Reddy, and K. Om Prakash. "IOT Based Smart Parking System." International Journal of Research Publication and Reviews 6, no. 4 (2025): 3386–89. https://doi.org/10.55248/gengpi.6.0425.1434.

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Savale, Prof Vaishali. "IoT based Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 11–13. http://dx.doi.org/10.22214/ijraset.2023.52579.

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Abstract: The number of vehicles keeps increasing each passing day and due to the limited parking space, parking has been a real nuisance. Our project which is based on the technology of “Internet of things”, aims to make parking vehicle easy and efficient. The benefit of our approach is that it allows us to find a parking space in parking area efficiently. Our project can also collect useful data like the amount of vehicle in the parking area, peak parking time etc. Parking will be digitalized and human efforts can be greatly reduced.

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Kale, Rohan, Vedashree Gujar, and Deepa Athawale. "IOT Based Smart Parking System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 04 (2025): 1–9. https://doi.org/10.55041/ijsrem44109.

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As the number of vehicles increased rapidly, parking has been turned into a serious issue, particularly in vast spaces. Conventional parking systems are based on manual work and hence suffer from inefficiency, congestion, and lateness. To address these problems, we introduce an IoT-based Smart Parking System that can automatically detect parking slots, security, and payment processes. With the help of RFID technology, Arduino Uno, IR sensors, and a servo motor, the system improves security, minimizes human intervention, and maximizes parking space utilization. The method enhances parking efficiency and aids in smart city growth by reducing traffic congestion and wasteful fuel usage. Index Terms - Internet Of Things (IOT), RFID , Arduino UNO, IR Sensors, Servo Motor, Breadboard, Jumper Wires, Smart Parking

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Kumar, H. Venkatesh. "IOT Based Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (2021): 1311–18. http://dx.doi.org/10.22214/ijraset.2021.36599.

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In This project we are designing an IoT based Smart parking system that integrates with mobile Application. It provides a comprehensive parking solution both for the user and owner of the parking space. Features are provided for reserving a parking space, authenticating a reserved user, identifying nearest free space depending on the size of the vehicle, navigating to the parking slot and computes accounts information on daily, weekly and monthly basis. IR sensors are used to identify if a parking spot is free. Availability of a free slot with its location information is transmitted using WIFI module technology, microcontroller and wireless communication technology to the server and is retrieved though a mobile application. RFID tag attached to a vehicle is used to authenticate a user who reserves the parking slot on an hourly, daily, weekly or monthly basis. A scheduling algorithm is used to identify the nearest free slot based on the size of a vehicle. The owner of the parking space can get the analytics of the number of free and available slots for a given period, the occupancy rate on week days and weekend and the amount collected for a given period and can use it for fixing variable parking fees. The mobile application is designed to provide rich customer experience.

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Agnihotri, Shashank, Ankit Kumar, Gopal Singh, Prateek Dixit, Shayan Ahmad, and Shresth Chaurasia. "IOT Based Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 1740–46. http://dx.doi.org/10.22214/ijraset.2024.61888.

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Abstract: The problem faced by people in this modern era in urban areas is the problem of parking whether it is in shopping mall, railway station, hospitals, movie theatre, etc. This problem occurs due the increase of number of vehicles in recent times. Furthermore, today’s car parking is insufficient and driver/users waste most of the time in finding a place to park their vehicles. The purpose of this research is to use modern technologies like IoT (Internet of Things) and RFID (Radio-Frequency Identification) which detects the availability of parking slots in the parking lots. Besides, the smart parking system has a web application which displays how many slots are available and alerts the user when status of the slot has changed. Additionally, the user details are added on the database. Hence, the smart parking system will provide a smooth functioning and will take the parking system to new levels

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Bansal, Anshita, Ritu Singh, Riya Singhal, and Deepanshi Sonkar. "IOT based Smart parking system." International Journal of Science and Social Science Research 3, no. 1 (2025): 31–37. https://doi.org/10.5281/zenodo.15291281.

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The rapid rise in urbanization has created substantial challenges in managing vehicle parking effectively. Traditional systems often lead to prolonged wait times, inefficient use of space, and heightened fuel consumption. To address these issues, a Smart Parking System utilizing Arduino technology has been developed. This innovative system automates parking management through the detection of vehicle presence, gate access control, and the provision of real-time updates on parking slot availability. Key components of the system include ultrasonic sensors for detecting vehicles, servo motors for gate operations, and an LCD display for user feedback. This combination offers a scalable and cost-effective solution for parking management. The research outlines the system's design, detailing both hardware and software aspects, as well as potential future enhancements that could further improve its effectiveness and efficiency. The implementation of such a system could significantly mitigate the challenges associated with traditional parking methods, contributing to better urban mobility and reduced environmental impact

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Tembhurne, Avantika, Yashaswini Sadawarti, Yash Meshram, Dipashri Wadgaonkar, Mr Nilesh Panchbhute, and Dr Pravin Kshirsagar. "IoT Based Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 3821–25. http://dx.doi.org/10.22214/ijraset.2024.60763.

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Abstract: The IoT-based smart parking system represents an innovative approach to alleviating the prevalent issues of parking shortages and traffic congestion in modern cities. By integrating advanced hardware components and software applications, this system aims to enhance transportation efficiency and sustainability while improving commuter experiences. At its core lies the ESP32 microcontroller, orchestrating data processing from various sensors including parking and traffic IR sensors. These sensors enable real-time monitoring of parking availability and traffic flow, with data seamlessly transmitted to an LCD display for immediate visualization. Additionally, commuters can access this information remotely through a mobile application or web portal, empowering them to make informed travel decisions. The system's standout feature, the smart parking allocation system (SPAS), allows users to locate and reserve parking spaces in advance, effectively reducing the time spent searching for spots and consequently mitigating traffic congestion. Overall, the integration of IoT technology into transportation infrastructure offers a promising solution to the challenges of urban mobility, fostering efficiency, sustainability, and improved commuter satisfaction.

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K, Vimala Devi, Aabha Bhatta, and Turusha Ghimire. "IoT-Based Smart Parking System." International Journal of Engineering and Advanced Technology 11, no. 5 (2022): 105–8. http://dx.doi.org/10.35940/ijeat.e3583.0611522.

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A smart city permits the viable usage of assets and better administration of assets for the residents. Consistent advances are being seen in the field of the Internet of Things (IoT) to intensify the convenience and nature of the foundation. With the advancement of the foundation in metropolitan areas, the number of vehicles has also increased significantly in recent years, causing issues with traffic congestion and street security. IoT has helped solve different issues every day concerning street security, parking spaces, and traffic congestion. Parking spaces can be difficult to detect, particularly during the pinnacle hours in significant metropolitan urban communities, which can be extremely disorganized. In this project, we plan to introduce an altered plan of an Internet of Things (IoT) empowered smart parking system to tackle the parking issue in the city. The system includes an on-location organization of the various sensors, which are utilized to recognize the accessibility of the parking spaces and send data to the server about the equivalent. A real-time web link will be given that permits an end client to take a look at the accessibility of a parking space and book it for a given time frame. A parking executive system can be planned and sent to all smart and future urban communities with the help of sensor systems and IoT innovation. This will save the client's time and diminish the congestion undeniably.

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Vimala, Devi K., Bhatta Aabha, and Ghimire Turusha. "IoT-Based Smart Parking System." International Journal of Engineering and Advanced Technology (IJEAT) 11, no. 5 (2022): 105–8. https://doi.org/10.35940/ijeat.E3583.0611522.

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<strong>Abstract: </strong>A smart city permits the viable usage of assets and better administration of assets for the residents. Consistent advances are being seen in the field of the Internet of Things (IoT) to intensify the convenience and nature of the foundation. With the advancement of the foundation in metropolitan areas, the number of vehicles has also increased significantly in recent years, causing issues with traffic congestion and street security. IoT has helped solve different issues every day concerning street security, parking spaces, and traffic congestion. Parking spaces can be difficult to detect, particularly during the pinnacle hours in significant metropolitan urban communities, which can be extremely disorganized. In this project, we plan to introduce an altered plan of an Internet of Things (IoT) empowered smart parking system to tackle the parking issue in the city. The system includes an on-location organization of the various sensors, which are utilized to recognize the accessibility of the parking spaces and send data to the server about the equivalent. A real-time web link will be given that permits an end client to take a look at the accessibility of a parking space and book it for a given time frame. A parking executive system can be planned and sent to all smart and future urban communities with the help of sensor systems and IoT innovation. This will save the client's time and diminish the congestion undeniably.

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A, Mercy Flora, Deepthi k, Keerthiga Priya UK, Prathisha S, and Raghul Kumar S. "IOT BASED SMART PARKING WITH FLOOD ALERT SYSTEM." International Journal of Current Engineering and Scientific Research 6, no. 6 (2019): 264–68. http://dx.doi.org/10.21276/ijcesr.2019.6.6.45.

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Mustari Syafiq Ismail, Mohd, Muzammil Jusoh, Thennarasan Sabapathy, et al. "IoT Based Smart Parking System." Journal of Physics: Conference Series 1424 (December 2019): 012021. http://dx.doi.org/10.1088/1742-6596/1424/1/012021.

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Khanuja, Harmeet, Samruddhi Kalekar, Prasad Narode, Sanket Sanap, and Dnyaneshwar Giri. "IOT Based Smart Parking System." International Journal of Scientific Research in Computer Science and Engineering 6, no. 6 (2018): 50–52. http://dx.doi.org/10.26438/ijsrcse/v6i6.5052.

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Tyagi, S., R. Upadhyay, U. Srivastva, A. Singh, and D. Garg. "Arduino Based IOT Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 12, no. 5 (2024): 5218–20. http://dx.doi.org/10.22214/ijraset.2024.60634.

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Abstract: The idea of "smart cities" was very popular in the beginning. This paper presents an in-depth exploration of an Arduino-based Internet of Things (IoT) Smart Parking System designed to address the growing challenges of urban parking management. Leveraging the capabilities of Arduino microcontrollers and IoT technology, the proposed system offers an intelligent and efficient solution for optimizing parking space utilization. The key components of the system consist of sensor nodes that are positioned thoughtfully in parking spots and send occupancy data in real time to a centralized Arduino microcontroller. After processing this data, the microcontroller sends status updates to a cloud-based platform via wireless communication protocols. The cloud platform is interfaced with an intuitive mobile application that gives drivers instant access to information about parking availability and promotes a smooth parking experience.

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HALLER R, MANJU. "IoT based Smart Parking System Using Bluetooth." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–11. http://dx.doi.org/10.55041/ijsrem29314.

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This paper presents an IoT-based smart parking system utilizing Bluetooth technology to efficiently manage parking spaces in urban environments. The system integrates Bluetooth Low Energy (BLE) sensors installed in parking spots with a central server and a mobile application. BLE sensors detect the presence of vehicles and transmit this information to the server, which updates the availability status in real-time. Users can access the availability status via a mobile app, allowing them to locate and reserve parking spaces conveniently. The system improves parking efficiency, reduces congestion, and enhances the overall urban mobility experience. Keywords: 1.Arduino IDE program software. 2.Development board ESP8266. 3.Communication devices. 4.Sensors.

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Rajput, Sapna. "ARDUINO BASED SMART CAR PARKING SYSTEM." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04051.

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Abstract: The growing number of vehicles in urban areas has intensified the need for efficient parking management systems. Traditional parking methods are often inefficient, time-consuming, and contribute to traffic congestion and increased fuel consumption. This paper presents the design and implementation of an Arduino-based smart car parking system that automates the process of detecting and displaying the availability of parking slots. The system employs ultrasonic sensors to monitor individual parking spaces, an Arduino UNO micro-controller for processing sensor data, and an LCD to display real-time slot availability. The proposed system is cost-effective, scalable, and easy to deploy in small to medium-sized parking areas. Experimental results demonstrate the system's accuracy in detecting vehicle presence and effectiveness in reducing parking time and improving user convenience. The research highlights the potential for integration with mobile applications and IOT platforms for enhanced user experience and broader smart city applications. Keywords: Arduino, Smart Parking, IoT, Ultrasonic Sensors, Embedded System, Automation

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Chandran, Mehala, Nur Fadila Mahrom, Thennarasan Sabapathy, et al. "An IoT Based Smart Parking System." Journal of Physics: Conference Series 1339 (December 2019): 012044. http://dx.doi.org/10.1088/1742-6596/1339/1/012044.

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Chanduja, N. "IOT based Smart Parking and Traffic Management System for Modern Cities." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 492–98. https://doi.org/10.22214/ijraset.2024.65829.

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In recent times the concept of smart cities has become very popular. Thanks to the Internet of things the idea of smart city now seems to be completed. Consistent efforts are being made in the field of IoT in order to maximize the productivity and reliability of urban infrastructure. Problems such as, traffic congestion, limited car parking facilities and road safety are being addressed by IoT. In this paper, we present an IoT based cloud integrated smart parking system. The proposed Smart Parking system consists of an on-site deployment of an IoT module that is used to monitor and signalize the state of availability of each single parking space. A mobile application is also provided that allows an end user to check the availability of parking space and book a parking slot accordingly.

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Rajput, Vaishali, Adwait Kavishwar, Vivek Agrawal, et al. "IOT Based Parking Lot for Smart City." International Journal for Research in Applied Science and Engineering Technology 12, no. 11 (2024): 1815–21. http://dx.doi.org/10.22214/ijraset.2024.65474.

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Abstract: This project presents an intelligent parking lot system using infrared sensors to detect available parking spaces in realtime. The system improves user convenience and reduces traffic congestion by providing accurate parking availability data. Infrared sensors, chosen for their reliability and low power consumption, are installed in each parking slot. The sensor data is processed centrally and shared via thingspeak website and digital displays. The system will be piloted in a section of the parking lot, with calibration ensuring accuracy. Results show reduced time searching for parking and decreased congestion. The system's scalability, energy efficiency, and real-time capabilities enhance user experience and optimize parking operations. Future developments include predictive analytics and expansion to other hightraffic areas.

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Haritha Koya, K Likhitha, K Srilatha, G Saida Babu, ,. G. Vaishnavi. "IoT Based Smart Vehicle Parking System Using RFID." International Journal for Modern Trends in Science and Technology 10, no. 02 (2024): 53–60. http://dx.doi.org/10.46501/ijmtst1002008.

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The "IoT-Based Smart Vehicle Parking System Using RFID" project introduces an intelligent and efficient solution for modernizing vehicle parking management. Leveraging the Internet of Things (IoT) and Radio-Frequency Identification (RFID) technologies, this system optimizes the parking process, enhances user experience, and provides real-time monitoring and control. The project aims to address the challenges of urban parking by improving accessibility, reducing congestion, and streamlining the parking experience. The Internet of things (IOTs) is a vital technology, it is playing a crucial role in the day-to-day life of human beings. With the help of this technology, now day’s humans are getting effective output with very little effort.It reduces the man-made errors made by humans due to negligence . As technology advances, smartphones are an inevitability for every human being. The proposed parking system effectively manages the parking space and it will manage collision among the vehicles at the same time.

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P.Garje, Laxmikant, Vishal S. Rathod, and Rakhi Punwatkar. "Smart Parking System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 11 (2024): 1–6. http://dx.doi.org/10.55041/ijsrem38607.

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As urbanization progresses, the surge in vehicle numbers has amplified the need for efficient parking management in cities. Traditional parking methods frequently lead to traffic congestion, poor space usage, and user dissatisfaction. This study introduces a smart parking solution that operates independently of Internet of Things (IoT) technology, instead leveraging software-based strategies with minimal hardware dependency. Key Words: Traffic Congestion,Urban Mobility,Space Optimization,Real-Time Availability.

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Agrawal, Rushabh, Sourav Ranalkar, D. P. Gaikwad, Omkar Rajale, and Aadesh Agarwal. "IoT-based smart parking system in smart city." International Journal of Vehicle Information and Communication Systems 7, no. 3 (2022): 306. http://dx.doi.org/10.1504/ijvics.2022.10052461.

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Gaikwad, D. P., Aadesh Agarwal, Omkar Rajale, Rushabh Agrawal, and Sourav Ranalkar. "IoT-based smart parking system in smart city." International Journal of Vehicle Information and Communication Systems 7, no. 3 (2022): 306. http://dx.doi.org/10.1504/ijvics.2022.127433.

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Khandait, Dr Mrs S. P., Bidisha Basak, Manjiri Kaste, Ashwini Waghmare, Siddhi Dhole, and Kajal Burade. "Smart Parking Solution for Smart Cities Using Arduino." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 775–86. http://dx.doi.org/10.22214/ijraset.2022.41952.

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Abstract: Today’s world peoples are focusing more on internet. People are becoming dependent on internet as it makes our life easier and faster. In order to maximize the performance and accuracy of the urban area economic-development constant efforts are made in the field of IoT. With the help of IoT platforms we can connect the sensors with the internet. Therefore by using IoT we can implement many applications. The smart parking system is one of this IoT application. There are many problems regarding unplanned parking not only in India but also in many other countries of the world. Hence, we have Introduced IoT based parking system to reduce the issue of unplanned parking and also to reduced the traffic congestion. This project allow the user to find the vacant parking space in a given area. We have developed mobile application using which the user can easily check the availability of parking slot. Keywords: Arduino UNO, IoT, Ultrasonic Sensors, Wifi, Android Application

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Chaitanya, Karna, and B. Madhavi. "An IoT-Based Parking System to Prevent Unauthorized Vehicles." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 42–49. http://dx.doi.org/10.22214/ijraset.2023.49353.

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Abstract: In India, a family needs at least two cars since traffic congestion has become a serious problem, therefore parking space is at a premium, which means the emptor is less of a need. Because all work nowadays has been done online, an IoT-based smart parking system is the only viable option. By utilizing IoT sensors to detect and monitor security, locate parking lots, and reserve spaces, the smart parking system can make parking easier and more convenient for all users, thereby showing how the IoT can be widely used by a wide range of people in their everyday lives to make life easier and more convenient. To lessen traffic and make parking simpler, low-cost technology is being used. By minimizing traffic congestion and requiring less time for parking. In the smart parking system, information about the parking area is gathered through a website, and parking spaces may be reserved and tagged. RFID Tag reader reads the tags on the cars in the parking lot's designated area, which are subsequently displayed on the LCD screen and the main gate. A specific parking lot has been reserved for the automobile. Programming an IoT product using the Arduino IDE software on an Arduino Nano based on automated parking system control using codes is made simple and powerful using the ESP8266. The most important benefit is that it saves time and money, and provides security control.

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Hong, Steven Yong Choong, Chia Chao Kang, Jian Ding Tan, and Mohammadmahdi Ariannejad. "Smart Parking System Using IoT Sensors." Journal of Engineering Technology and Applied Physics 5, no. 1 (2023): 63–69. http://dx.doi.org/10.33093/jetap.2023.5.1.7.

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Due to the increasing difficulty of finding vacant parking slots in urban cities, Smart Parking System has been developed to solve the problem. It is a system that can show the status of all parking slots in an area which allows drivers to find parking easily. The objective of this paper is to design a Smart Parking System by using Internet of things (IoT) sensors and evaluate the system’s performance. In this paper, ultrasonic sensors will be used as the IoT sensors while the microcontroller of the system is the NodeMCU ESP8266. The ultrasonic sensors will be placed in each parking slot to detect the presence of a vehicle. When the sensor detects a car, it will send this information to the microcontroller and the microcontroller will update the parking data stored in the cloud server via an internet connection. The users can then access the parking information in the cloud with their mobile devices by scanning the Quick Response (QR) code provided or directly visiting the cloud online. In addition, unique designs are proposed to solve some common problems faced by the parking systems such as the ultrasonic sensor might be malfunctioning and the sensor is unable to differentiate between a vehicle and a pedestrian. The performance of the system will then be evaluated based on its accuracy. From the results obtained, the system prototype achieved an accuracy of 100 %. Comparing this system with other Smart Parking Systems proposed, it proves that this method has higher cost-efficiency and reliability. This shows the significance of this research since higher system reliability and cost-efficiency can increase the confidence of the parking area owners to implement this Smart Parking System which can save the driver’s time and reduce air pollution.

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Kumar, Madhumita Manish, and Geetanjali Yatnalkar. "Smart Parking System." International Journal of Advanced Engineering and Nano Technology 4, no. 6 (2021): 1–5. http://dx.doi.org/10.35940/ijaent.d0463.094621.

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Smart Parking System is based on Internet of Things technology and Android Application which enables the customer to view the available parking spaces and also book the parking space.Therefore, the project aimed at designing a system that will enable the customers to book the parking slot at their convenience.The data for functional, non-functional and system requirements were collected. This data was used to prepare the UML diagrams such as the Entity Relationship Diagram. This system was implemented using different IOT tools like IR sensors and also includes mobile application development for creating interfaces for booking parking slots.

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Madhumita, Manish Kumar, and B. Yatnalkar Geetanjali. "Smart Parking System." International Journal of Advanced Engineering and Nano Technology (IJAENT) 4, no. 6 (2021): 1–5. https://doi.org/10.35940/ijaent.D0463.094621.

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Hanumanthakari, Sudheer. "Intelligent and real-time Parking System." E3S Web of Conferences 472 (2024): 03003. http://dx.doi.org/10.1051/e3sconf/202447203003.

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With increased use of smart gadgets, the Internet of Things (IoT) has recently become a regular part of everyone’s daily life. Parking spaces have become a significant challenge since the majority of the population in metro cities uses private vehicles more frequently. Because of the most recent technology and the growing popularity of the concept of smart cities, the paper proposes an IoT based smart parking system. This research study focuses on making the best use of the available space, managing traffic effectively, and utilizing resources to their fullest potential. Work has been done in the previous years to improve the smart parking system, and research is still being done to create a system that is both technologically advanced and user-friendly. IoT based real time smart parking system helps the users to order and find the parking slots using Android application and Web Application is designed. The proposed model helps the public with personal vehicles to find parking spaces in specific locations.

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Istiqlal, Alamullah, Mohammad Taufan Asri Zaen Zaen, and Walidi Wahyu Pratama. "Prototype Smart Parking Berbasis IoT." Jurnal Teknik Informatika dan Elektro 5, no. 2 (2023): 73–86. http://dx.doi.org/10.55542/jurtie.v5i2.708.

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As the STMIK Lombok academic community increases every year, vehicle users at STMIK Lombok also increase. This encourages the need for parking in the STMIK Lombok area which must be managed properly. Currently, the academic community sometimes has to go around to find an available parking space, as a result, parking users park their vehicles in random places so that they look untidy and disorderly. The parking area and system on the STMIK Lombok campus still uses a manual system, namely with a security guard and monitoring system, vehicles entering and leaving are not recorded and checked. Based on the existing problems, this study initiated parking management on the STMIK Lombok campus with a smart system (Smart Parking). This study used the R&D method with site observation, problem analysis, making prototypes and trials. This design is based on the Internet of Things (IoT) which is connected to the user's smartphone, with the main components being the NodeMCU ESP8266, Arduino UNO, IR Obstacle Sensor, and RFID Reader. This research is expected to provide solutions to parking problems at STMIK Lombok with a smart system that sends information on the availability of empty slots to user devices, an automatic portal system, the number and identity of vehicles is recorded so that parking management will be more effective and efficient.

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Tiwari, Prashant, Nitesh Kumar, Dr Ajay Sahu, and Dr Vikas Singhal. "IOT Based Car Parking Using Edge Computing." International Journal of Innovative Research in Advanced Engineering 11, no. 11 (2024): 871–75. https://doi.org/10.26562/ijirae.2024.v1111.12.

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The promise of autonomous driving is that edge computing can deliver real time services. Using a variety of sensors and communication modules, autonomous cars may function both indoors including in parking lots and outdoors. But because the interior station's ability to communicate with the outer world is limited globe, and the present underpowered autos don't really work; they could have to handle all the data. Autonomously, hence a control mechanism must be put in place. Completely self-sufficient car in the surroundings. In this research, we suggest an edge computing based smart parking system for self driving cars. Smart parking has resolved Boundaries and traffic, and parking spaces are managed using a grid. To assess the effectiveness of the smart parking system, In the current parking system, we contrasted the journey time with the parking time. Furthermore, the resource to make sure that the service quality margin number is offered and maintained; expenses and transaction data are examined.

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Jung, Inhwan. "An IoT-based smart parking management system." International Journal of Computational Vision and Robotics 10, no. 2 (2020): 122. http://dx.doi.org/10.1504/ijcvr.2020.10027323.

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Jung, Inhwan. "An IoT-based smart parking management system." International Journal of Computational Vision and Robotics 10, no. 2 (2020): 122. http://dx.doi.org/10.1504/ijcvr.2020.105680.

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Kanojiya, Shivam, Sameer Wakade, Himanshu Gachake, Roshni Nair, and Prof Nazish Fatima. "IoT based Smart Parking System using NODE MCU ESP8266." International Journal for Research in Applied Science and Engineering Technology 10, no. 4 (2022): 2450–56. http://dx.doi.org/10.22214/ijraset.2022.41821.

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Abstract: So basically, we know that the number of vehicles sold every day that number is increasing day by day. This continues increasing of vehicles on the street with the lack of car parking is becoming a problem in most urban cities. To avoid this problem our Smart Car Parking System comes into the picture. This solution is cost-effective as we are automating the system that we are using will eliminate the need of human operators also this will save the fuel that is burnt in searching of the parking slot in the parking area and also this will save our precious time. And as we are accommodating a greater number of vehicles in same parking area therefore there will be more revenue collection by the government. And this automated system can ensure that safety is provided as vehicles cannot be taken away from the designated parking slot without the authorized person’s permission. And as this system is automated it is user friendly and will allow hassle-free parking of the vehicle Keywords: NODE MCU ESP8266, IR Sensor, Traffic Congestion, IoT, cloud database

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Vijayabaskar, Dr S., V. Santhosh, A. Suriyaprakash, D. Kiruthickroshan, and K. Hariharan. "IoT Based Smart Parking System with Web Application using NodeMCU." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 1018–23. http://dx.doi.org/10.22214/ijraset.2023.50266.

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Abstract: Parking management has grown to be a significant issue with the rise in vehicle traffic in urban regions. The conventional parking method causes traffic congestion and environmental pollution in addition to being time-consuming. These issues are resolved by the IoT-based smart parking system. It gives drivers and parking administrators access to real-time parking information through sensors and communication networks. To forecast parking availability and maximize parking spot use, the system uses data provided by the IR sensor. Additionally, it provides functions like web booking and payment. By decreasing the amount of time and effort needed to locate a parking space, the smart parking system improves the user experience. Additionally, it aids in lowering fuel consumption, carbon emissions, and traffic congestion, making it an ecologically friendly choice

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Singh, Joseph Jesawanth, Nanthiine Nair Ravi, and Prajindra Sankar Krishnan. "Iot based Parking Sensor Network for Smart Campus." International Journal of Engineering & Technology 7, no. 4.35 (2018): 26. http://dx.doi.org/10.14419/ijet.v7i4.35.22316.

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The difficulty in finding parking spaces is growing into a more serious problem especially in urban areas. As the number of vehicles on the road continues to increase substantially, the difficulty in finding parking spaces increases even more. To combat this rising issue many cities have adopted a more organised and intelligent parking system which is also commonly known as smart parking system. This is to improve the efficiency of locating a parking spot, especially in an urban area. The smart parking system will often have sensors at parking spaces to determine the occupancy of the respective parking space. This occupancy value is relayed to a server by some specific communication protocol. The parking occupancy can then be displayed to the public by a Graphical User Interface (GUI) design which gets the occupancy values from a server. This project simulates the parking sensor network design in a smart campus setting by implementing the concept of the Internet of Things (IoT). This project uses ultrasonic sensors that are connected to a NodeMCU microcontroller to send the parking occupancy values to an online database implemented using Google Firebase. A mobile application with a GUI (Graphical User Interface) is also created using MIT App Inventor 2 to display the vacancy of parking by communicating with the online database. The results obtained in this project were promising. The successful implementation of this idea will allow users to save more time and money, not to mention that it can also help reduce carbon emissions from vehicles resulting in a more sustainable environment.

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Juhari, Nur Hafizah, Goh Yuki, Puteri Ameera Mentaza Khan, and Nurhayati Khair. "ENHANCING CUSTOMER SATISFACTION THROUGH IOT-BASED SMART PARKING SYSTEMS IN SHOPPING MALLS." Journal of Sustainable Technology and Applied Science (JSTAS) 5, no. 1 (2024): 32–38. http://dx.doi.org/10.36040/jstas.v5i1.10702.

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An intelligent parking system with IoT technology is vital in shopping mall parking because it enhances convenience and efficiency for shoppers and visitors. The system can assist in reducing several problems that impact the users, such as wasting time finding parking and paying parking fees at the auto-pay machines. Thus, this study examines the components of smart parking systems that affect customer satisfaction levels. The smart payment system, sensor system, navigation system, security system, parking reservation system, and electric vehicle charging system are among the components. Data was gathered via questionnaires from 100 respondents who were at least 16 years old and had experience driving vehicles to shopping malls in Kuala Lumpur. The results from the Relative Important Index indicate that the smart payment system is the most influential component of IoT-based smart parking systems in affecting customer satisfaction at shopping malls. Therefore, the shopping operator, developer, property manager, and future researcher can emphasise the most important elements of the intelligent parking system to enhance management and increase customer satisfaction. In addition, the smart parking system should be implemented in Malaysia to ensure that the parking system has advanced and comprehensive facilities for visitors.

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Chouhan, Sunil, and Sandhya P. "INTERNET OF THING BASED CAR PARKING SYSTEM." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (2017): 97. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19577.

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In the current era, we are facing a new problem of parking of vehicles. It is a major problem in urban cities. The problem is more tough because of continues growing number of vehicle and also size of vehicles. Car parking is not just a major problem in India but also in all over the world. We know that one million vehicles burn oil every day. In this paper, we propose an automatic and real-time system for automated car parking. This system would be implemented by the use of internet of things (IOTs). IOT refers as any physical thing that is connected to internet or exchanging information or data between internet and physical device. Arduino Uno is a microcontroller used in IOT. It is used for building digital devices, and interactive objects that can sense and control physical devices. Our smart parking will be implementing using Arduino Uno board for car parking and Ethernet shield to connect parking area with web or internet. By using our automated parking system, a user can save much time for searching free parking space. An infrared sensor has to be employed in each slot to check that a particular plot is vacant or not. Searching smart parking system helps people to search parking space accessible with the ease of IOT automation by supplying parking slot free information. The user can book in advance the parking slot and update the information to the server. Every user has a unique id and password. In case a car in stolen and enter the parking IOT the server checks the database and inform the police.

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Torad, Mohamed A., Belgacem Bouallegue, Mahmoud M. Khattab, and Abdelmoty M. Ahmed. "Smart Garage Utilizing Internet of Things (IoT)." Journal of Sensors 2022 (September 12, 2022): 1–11. http://dx.doi.org/10.1155/2022/9070683.

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People in urban regions face a daily problem finding parking slot for their vehicles. So, this study develops a network architecture based on Internet of Things platform. A system improves the efficiency of the current cloud-based smart-parking system. This study suggested a system that assists users in automatically finding a free parking space at the lowest cost. With an application, a user can request to reserve a parking slot. The application moves a driver directly into the free slot in a garage. Also, it utilizes the distance and total number of free spaces in each garage to determine the user nearest parking slot and cost. The garage slot cost will be charged by user credit once the user entered the garage or reserved a parking slot through the application. The system proposed a novel system which picks up a parking slot, reserves, and pays for it through mobile application. The proposed system can easily be deployed in the actual world.

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Shankar, S. Siva, S. Srinivas, Sarangam Kodati, et al. "IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement." MATEC Web of Conferences 392 (2024): 01105. http://dx.doi.org/10.1051/matecconf/202439201105.

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Parking spots have become a prevalent concern in urban growth. The number of automobiles is increasing faster than accessible parking spaces. This problem is addressed by implementing an Internet of Things (IoT)-based Parking Surveillance Scheme (IoT-PSS) for the smart campus. The system aims to efficiently match vehicles with available parking spaces, resulting in time savings, improved parking space usage, reduced management expenses, and decreased traffic congestion. Edge computing provides a new answer to data processing in monitoring systems by using advancements in IoT, artificial intelligence, and transmission technologies to analyze data regionally at the edge. This research explores the viability of using edge computing for smart parking monitoring, focusing on detecting parking occupancy via a real-time video stream. The structure operating pipeline to prioritize adaptability, online surveillance, data transfer, detection precision, and system dependability. The experimental findings show that the final detection approach achieves more than 95% accuracy in real-world situations with outstanding effectiveness and reliability. The IoT-PSS system is essential for smart cities and is a strong basis for future use in smart transportation networks.

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Masa, Akshay G., Shital P. Mundlik, Rutuparna R. Lawand, and Ganesh B. Birajadar. "“Smart Parking Management System” (Based on IOT Modules)." Journal of Electronics,Computer Networking and Applied Mathematics, no. 26 (November 15, 2022): 8–12. http://dx.doi.org/10.55529/jecnam.26.8.12.

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The key inspiration of proposed system is to decrease traffic crowding in streets, high-rise constructions due to absence of car parking lots. The system shows the adjoining unfilled slot if existing considering user position. Proposed system objects to get resourceful use of car parking. It identifies unoccupied spaces in allotted region. Then it allocates unoccupied space to desired one. Proposed system as defined overhead facilitates zero error, unfailing, protected with reckless supervision scheme.

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SHAHU, VAIBHAV. "Smart Parking Slot Management System Using IOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29994.

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The paper proposes an innovative approach to tackle the pressing issue of efficient parking space management amidst the backdrop of rapid urbanization and escalating vehicle ownership rates. Through the amalgamation of Internet of Things (IoT) technology and ultrasonic sensors, the Smart Parking Slot Management System (SPSMS) emerges as a promising solution. Within this system, IoT-enabled devices, particularly ultrasonic sensors, are strategically deployed within parking slots to constantly monitor their occupancy status in real-time. These sensors function by detecting the presence or absence of vehicles through precise measurements of the distance between the sensor and the ground surface. Subsequently, the collected data is seamlessly transmitted wirelessly to a centralized server or cloud-based platform via internet connectivity. Upon reception of sensor data, the central server undertakes robust processing and analysis to ascertain the availability of parking slots within the designated area. End-users can conveniently access this pertinent information through a dedicated mobile application or a web interface, facilitating effortless identification and reservation of vacant parking spaces. The system further enhances user experience by incorporating automated notifications, alerting users to nearby available parking slots, alongside real-time updates on parking availability and robust reservation management functionalities. Keywords: Internet of Things, Thing Speak, Arduino Uno, ultrasonic sensor, Node MCU.

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Haposan Yoga Pradika Napitupulu and I Gde Dharma Nugraha. "Fog Computing-Based System for Decentralized Smart Parking System by Using Firebase." Jurnal Nasional Teknik Elektro dan Teknologi Informasi 13, no. 1 (2024): 44–52. http://dx.doi.org/10.22146/jnteti.v13i1.10095.

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The growth of vehicle number is unavoidable whilst the availability of parking is not directly proportional with this condition. Nowadays, many shopping centers do not have sufficient parking spot, causing customers to have difficulty in finding available parking spots. Research has been conducted to tackle the issue of finding available parking spots. Much of this research proposed the narrowband-Internet of things (NB-IoT) as a fog node. For communication purposes, this NB-IoT-based fog node has some shortcomings, such as security and privacy, lower data rate, higher cost in development, dependency with wireless system, and only covers one area. In this research, the fog computing was proposed to decentralize smart parking system by using Firebase to cover several areas or malls in one system and interface. Instead of using NB-IoT, this research employed decentralized local server as a fog node to deliver a fast data exchange. Firestore database (Firebase) was also used to secure, manage, and analyze the data in the cloud. Conjunctively, the Android application was created as a user interface to book and find the availability of parking spots. The Android application was built using Android Studio and implemented authentication to keep the data access secure and private. The testing scenario was done following the design unified modeling language (UML). The research results confirmed that the fog computing system successfully supported the decentralized smart parking system and was able to be implemented for covering several areas or malls in one system.

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Swati Sucharita Roy, Et al. "Improving Service Delay in Smart Parking System in Smart Cities with 5G." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 9 (2023): 2798–808. http://dx.doi.org/10.17762/ijritcc.v11i9.9369.

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Rapid urbanization and population growth leads to substantial increase in vehicular traffic while reducing empty spaces. This necessitates an enhanced parking systems to efficiently address the parking space management. The smart city and Internet of Things (IoT) holds a very high potential to solve this problem. However, the data traffic generation at the edge is increasing rapidly. Tremendous growth in IoT is putting a high congestion on cloud services. To ease up the congestion issue, we have proposed an efficient fog-based communication model for the smart city parking management. In this work, we have proposed a parking system management model based on 5G with low latency and green communication. Our model reduces congestion at the cloud and enable faster processing by addressing the parking system locally. Furthermore, our model finds out the nearby parking without putting additional load to the cloud. Simulation result shows the performance efficiency of the proposed model in terms of response time, average cost and service delay.

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Abu-Alsaad, Hiba A. "CNN-Based Smart Parking System." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 11 (2023): 155–70. http://dx.doi.org/10.3991/ijim.v17i11.37033.

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Due to the increased number of cars, outdoor parking is one of the critical problems. Moreover, the management of the parking system is also considered a difficult task. Humans, on the other hand, were acclimated to efficiently parking their automobiles by providing them with the precise location of parking in advance of their arrival. As a result of human inefficiency, it was unsuccessful and ultimately increased the compliance cost. As a result of the development of the notion of the Internet of Things. A lot of systems were installed regarding smart parking systems that are decreasing the cost but also contain a huge impact on the reduction of emissions from cars. While it is possible to integrate Internet of Things (IoT) devices into automobiles, such an approach will necessitates the deployment of additional infrastructure, which will raise the cost, and also it is not feasible within current infrastructure configurations. Then there's the fact that CCTV technology is widely available and also small enough to fit into any parking area without being noticeable. In this paper, Convolution Neural Network (CNN) based smart parking system is designed and implemented. The CNN is used to detect vacant and occupied parking spaces through CCTV cameras and provide feedback to the passengers. Furthermore, the proposed approach is using CNR and PKLot datasets for ensuring the effectiveness of the model. This was developed to solve the issues of time, cost, and accuracy with the existing systems. As a result, the proposed model provides excellent results in terms of accuracy. Moreover, it is cost-effective and saves time.

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Sakti, Essy Malays S., Boy Firmansyah, Yunita Sari, et al. "Towards Future Mobility: Smart Parking System Based on Internet of Things with Wearable Computing Technology on Campus." Proceeding of the International Conference on Multidisciplinary Research for Sustainable Innovation 1 (August 12, 2024): 140–49. http://dx.doi.org/10.31098/icmrsi.v1i.794.

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Technological advances in the digital era opened the door to innovation in various fields, including urban mobility. This article described the concept and implementation of an Internet of Things (IoT)-based smart parking system integrated with wearable computing technology in a campus environment. The main objective of this research was to develop a smart parking system integrated with wearable computing technology. The methodology used involved designing an integrated parking system, mapping parking areas, and developing a mobile application. Facilitating users' capacity to locate available parking spaces and providing them with real-time information regarding such availability were the primary goals of the proposed system, providing notifications to users when their parking time was running out and facilitating parking payments directly via their smartphone or smartwatch. Integration between smart parking applications and smartphones or smartwatches allowed users to access parking services more quickly and efficiently, improving their overall parking experience. This article described the system architecture and algorithms used, as well as testing and evaluating system performance. The unique aspect of this Smart Parking System research was the integration of wearable computing technology and the Internet of Things (IoT) concept to create a smart parking solution that was comfortable and efficient in the campus environment. The limitations of the discussion in this research were limited to Internet of Things (IoT) technology, sensors, and mobile applications. Through the implementation of this system, it was hoped that it could positively contribute to increasing mobility and efficient use of parking spaces in the campus environment, as well as opening up opportunities for developing similar applications on a wider scale in the future.

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Bajpai, Ayush. "IoT based Smart Parking System using Mobile Application." International Journal for Research in Applied Science and Engineering Technology 8, no. 11 (2020): 524–30. http://dx.doi.org/10.22214/ijraset.2020.32213.

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H. Elashmawi, Walaa, Ahmad Akram, Mohammed Yasser, et al. "IOT Based Smart Parking System Using Ensemble Learning." Intelligent Automation & Soft Computing 36, no. 3 (2023): 3637–56. http://dx.doi.org/10.32604/iasc.2023.035605.

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Ouhammou, Imrane, Tarik Chafiq, and Mohamed Hmamou. "IoT-Enabled Smart Parking: Enhancing Efficiency and Sustainability in Smart Cities." E3S Web of Conferences 418 (2023): 02006. http://dx.doi.org/10.1051/e3sconf/202341802006.

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The field of smart parking is growing rapidly and has many potential applications in densely populated urban areas. Internet of Things (IoT) and Arduino-based smart parking systems offer an innovative solution to solve parking problems in real time. Among other things, these systems reduce traffic congestion, improve road safety, reduce greenhouse gas emissions, and improve user experience. In this paper, we present a smart parking system that uses an innovative architecture and algorithm to optimize vehicle parking. The system also tracks cars, their location, entry and exit details, and account management. An infrared sensor is integrated into the system to monitor the entry and exit of vehicles. This sensor uses beams of light to detect the presence of vehicles in a specific parking area, allowing for efficient use of available parking space. This project has many benefits, such as optimized space utilization, reduced congestion and pollution, and an improved user experience. The system can be deployed in a variety of environments, including underground parking garages, shopping malls, airports, and train stations.

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Humaira Nishat, Dr, and Shakeel Ahmed. "IR Sensor based Smart Parking System." CVR Journal of Science and Technology 26, no. 1 (2024): 27–31. http://dx.doi.org/10.32377/cvrjst2605.

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Nowadays congestion of traffic level increased with the increase in population. As the population increases, the utilization of vehicles also increases. It's becoming a difficult task to find a slot to park the vehicle. To overcome this problem, a smart parking system is introduced. Previously, there were some approaches to this system where Bluetooth and GPS tracker were used to find the empty slots, and different sensors were used for indoor and outdoor parking. In some approaches there was no security for the user’s details. Whereas in the proposed system, every slot has a number which makes it easier for the user to find out the empty slot. IR sensors are used to detect the vehicle and the empty slot is displayed on LCD as well as cloud server where the user’s details are secured. Smart parking system is an IoT based system which includes Raspberry pi, LED display, Cloud Server, Monitor and IR Sensors that are available in each parking slot. The proposed system leverages the advantages of IR sensor technology to accurately detect the presence of vehicles in parking spaces, provides real-time information to the users, and improves overall parking efficiency. The paper discusses the system architecture, sensor deployment strategies, and implementation, thereby showcasing the potential benefits of IR sensor-based smart parking systems. Index Terms: camera, cloud, parking, Raspberry Pi, sensors, vehicles

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Ali, Ghulam, Tariq Ali, Muhammad Irfan, et al. "IoT Based Smart Parking System Using Deep Long Short Memory Network." Electronics 9, no. 10 (2020): 1696. http://dx.doi.org/10.3390/electronics9101696.

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Traffic congestion is one of the most notable urban transport problems, as it causes high energy consumption and air pollution. Unavailability of free parking spaces is one of the major reasons for traffic jams. Congestion and parking are interrelated because searching for a free parking spot creates additional delays and increase local circulation. In the center of large cities, 10% of the traffic circulation is due to cruising, as drivers nearly spend 20 min searching for free parking space. Therefore, it is necessary to develop a parking space availability prediction system that can inform the drivers in advance about the location-wise, day-wise, and hour-wise occupancy of parking lots. In this paper, we proposed a framework based on a deep long short term memory network to predict the availability of parking space with the integration of Internet of Things (IoT), cloud technology, and sensor networks. We use the Birmingham parking sensors dataset to evaluate the performance of deep long short term memory networks. Three types of experiments are performed to predict the availability of free parking space which is based on location, days of a week, and working hours of a day. The experimental results show that the proposed model outperforms the state-of-the-art prediction models.

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