Relevant bibliographies by topics / IOT based Smart parking system

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'IOT based Smart parking system'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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

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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 effic
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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
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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 s
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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
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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
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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, part
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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 b
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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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Dissertations / Theses on the topic "IOT based Smart parking system"

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Dalkic, Yurdaer, and Hadi Deknache. "A Self-policing Smart Parking Solution." Thesis, Malmö universitet, Fakulteten för teknik och samhälle (TS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-20898.

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With the exponential growth of vehicles on our streets, the need for finding an unoccupied parking spot today could most of the time be problematic, but even more in the coming future. Smart parking solutions have proved to be a helpful approach to facilitate the localization of unoccupied parking spots. In many smart parking solutions, sensors are used to determine the vacancy of a parking spot. The use of sensors can provide a highly accurate solution in terms of determining the status of parking lots. However, this is not ideal from a scalability point of view, since the need for installing
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Jazavac, Nedim, and Hikmat Tatari. "IoT-based air pollution monitoring system for smart villages." Thesis, Högskolan Kristianstad, Fakulteten för naturvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-21952.

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Air pollution is a global issue which has negative impacts not only on the environment but also on human health. Therefore, it is important to design and implement systems to allow cities and villages to monitor air quality so that they take the required actions to maintain a good air quality in the city/village. Since IoT facilitates implementing efficient monitoring systems, many IoT systems have been proposed to monitor air pollution. In this paper, we review different IoT-based systems to monitor air quality. In addition, we do an experiment where we propose and evaluate our system to moni
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Raffa, Viviana. "Edge/cloud virtualization techniques and resources allocation algorithms for IoT-based smart energy applications." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021. http://amslaurea.unibo.it/22864/.

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Nowadays, the installation of residential battery energy storage (BES) has increased as a consequence of the decrease in the cost of batteries. The coupling of small-scale energy generation (residential PV) and residential BES promotes the integration of microgrids (MG), i.e., clusters of local energy sources, energy storages, and customers which are represented as a single controllable entity. The operations between multiple grid-connected MGs and the distribution network can be coordinated by controlling the power exchange; however, in order to achieve this level of coordination, a co
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Moreno, Cano María Victoria. "I2ME2 IoT-IBMS : un sistema de gestión de la información basado en IoT para eficiencia energética en edificios inteligentes= I2ME2 IoT-IBMS: an IoT-based information management system for energy efficiency in smart buildings." Doctoral thesis, Universidad de Murcia, 2014. http://hdl.handle.net/10803/284648.

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Tesis por compendio de publicaciones<br>La presente tesis doctoral presenta el diseño de un sistema de gestión de la información basado en IoT para eficiencia energética en edificios inteligentes. En primer lugar se analizaron las limitaciones y problemas de las propuestas en literatura que abordan la gestión en edificios para su eficiencia energética. Tras este estudio teórico, se propuso un modelo de carácter general en el que se establecen las entradas a considerar en la gestión del edificio para conseguir eficiencia energética, así como las posibles salidas del mismo. La idea de este model
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Awan, Faraz Malik. "Towards synthetic sensing for smart cities : a machine/deep learning-based approach." Electronic Thesis or Diss., Institut polytechnique de Paris, 2022. http://www.theses.fr/2022IPPAS006.

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Nous avons travaillé sur l'un des axes de recherche les plus importants de la ville intelligente, à savoir les systèmes de transport intelligents (STI). Les ITS englobent plusieurs domaines, tels que les systèmes de notification électronique des véhicules, les informations sur le trafic, le stationnement intelligent et l'environnement. Cependant, dans cette thèse, nous ciblons deux de ses domaines importants : i) le stationnement intelligent et ii) le trafic routier. Nous avons commencé notre recherche par le cas d'utilisation du stationnement intelligent. En effectuant une revue de la littéra
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Nemrow, Andrew Craig. "Implementing an IIoT Core System for Simulated Intelligent Manufacturing in an Educational Environment." BYU ScholarsArchive, 2019. https://scholarsarchive.byu.edu/etd/8822.

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In this new digital age, efficiency, quality and competition are all increasing rapidly as companies leverage the Industrial Internet of Things (IIoT). However, while industrial innovation moves at a faster and faster pace, educational institutions have lagged in the development of the curriculum and environment needed to support further development of the IIoT. To fully realize the potential of the IIoT in the manufacturing sector educational institutions must support the technological training and education rigor demanded to instill the skills and thought leadership to move the industry
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Sousa, Rafael dos Santos. "Remote monitoring and control of a reservation-based public parking system." Master's thesis, 2021. http://hdl.handle.net/10316/98147.

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Dissertação de Mestrado Integrado em Engenharia Mecânica apresentada à Faculdade de Ciências e Tecnologia<br>Hoje em dia, tempo é um dos recursos mais preciosos que as pessoas possuem. Graças à evolução da tecnologia e juntando a revolução da indústria 4.0, vivida no momento, a procura de um lugar de estacionamento livre representa tempo perdido e um desafio para os engenheiros encontrarem uma solução. Problemas como congestionamento de tráfego, poluição do ar, lugares de estacionamento limitados e a segurança nas estradas, são alguns dos desafios mais importantes do século atual. Este projeto
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Hou, Kuo Yuan, and 侯國元. "IOT-based Intelligent Parking Management System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/g2473p.

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碩士<br>元智大學<br>資訊管理學系<br>104<br>A procedure is architecture of IOT for smart life, to achieve a intelligent parking system research. My agenda is Introduction、Literature 、Research method、Contribution、Conclusion. Recently there were many outlet-mall opening. How to make business and customers via IOT technology to achieve overall intelligent parking is my research motivation. Although public or private own parking , it use the process was entry 、manual or electronic introduce 、parking and payment for leave . If all those of process add IOT technology that would bond to be more efficient . This r
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SINGH, OM PRAKASH. "ADVANCED PARKING AND SMART CROSSING TRAFFIC MANAGEMENT SYSTEM USING IOT." Thesis, 2017. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16587.

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Internet of things (IoT) and Artificial Intelligence (AI) both are currently in high demand and have a lot of scope in future as well. Nowadays, the concept of smart cities is very popular. IoT is a key player for achieving the idea of smart cities. Many efforts are being made in this sector of IoT for making a better infrastructure of any city. In urban cities, we are also facing many problems like very less parking facility, safety during travelling and congestion of traffic. As the movement of world is very fast and seamless transportation system is not providing by current transport s
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Karmakar, Sourajit. "Smart IoT Based Lighting System for Indoor Environment." Thesis, 2017. http://ethesis.nitrkl.ac.in/8869/1/2017_MT_SKarmakar.pdf.

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With the advent of new technologies and growing need of reliable and sophisticated ways to make machine to machine communication, the current concept of Internet has evolved from the traditional human interaction dependent events. Now it is possible to integrate a physical world device into the internet itself, essentially making it a smart object and therefore making it possible for inanimate objects to talk to each other, processing and exchanging data. This new concept is called Internet of Things (IoT). In present day IoT has found widespread application in the domain of Home Automation, H
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Books on the topic "IOT based Smart parking system"

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Smart Parking in IoT-Enabled Cities: Smart Parking System, ITS ,IoT ,Smart City. Independently Published, 2021.

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Development of IOT Based Smart Security and Ubiquitous Controlled Agriculture System. ASDF International, 2017.

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Book chapters on the topic "IOT based Smart parking system"

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Abhijith, G., H. A. Sanjay, Aditya Rajeev, Chidanandan, Rajath, and Mohan Murthy. "IoT-Based Smart Parking System." In Emerging Research in Computing, Information, Communication and Applications. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6001-5_38.

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Mane, Venkatesh, Ashwin R. Kubasadgoudar, Raghavendra Shet, and Nalini C. Iyer. "An IoT-Based Smart Parking System for Smart Cities." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9967-2_51.

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Sharma, Himanshu, Shruti Talyan, Shambhavi kaushik, and Kartikeya dwivedi. "IoT based smart car parking system for smart cities." In Recent Trends in Communication and Electronics. CRC Press, 2021. http://dx.doi.org/10.1201/9781003193838-67.

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Bhat, Anagha, Bharathi Gummanur, Likhitha Priya, and J. Nagaraja. "An IoT-Based Smart Parking System Using Thingspeak." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6353-9_41.

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Saleem, Adil Ali, Hafeez Ur Rehman Siddiqui, Rahman Shafique, Abdullah Haider, and Muhammad Ali. "A Review on Smart IOT Based Parking System." In Advances in Intelligent Systems and Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-36056-6_26.

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Singh, Harikesh, Animesh Pokhriyal, Anmol Sachan, and Meghna Saxena. "SCPS: An IoT Based Smart Car Parking System." In Recent Advances in Energy Systems, Power and Related Smart Technologies. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-29586-7_21.

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Pathak, Abhijit, Abrar Hossain Tasin, Md Shahid Uddin Rahat, Vicky Barua, Munna Das, and Sudarshan Das. "Cloud-Based Smart Parking Systems Using IoT." In Applied Informatics for Industry 4.0. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003256069-1.

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da Cruz, Mauro A. A., Joel J. P. C. Rodrigues, Gustavo F. A. Gomes, et al. "An IoT-Based Solution for Smart Parking." In Lecture Notes in Networks and Systems. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3369-3_16.

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Cherifi, Dalila, Assil Belhacini, Mohamed Reda Boulezaz, and Menouar Barkat. "Implementation of Smart Parking Using an IoT Based System." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-60629-8_6.

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Mouhcine, Elgarej, Karouani Yassine, Khalifa Mansouri, and Youssfi Mohamed. "Smart Parking Guidance System Based on Distributed IoT Strategy." In Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-90639-9_6.

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Conference papers on the topic "IOT based Smart parking system"

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Sondkar, Shilpa, Muhib Momin, Sumaiyya Nadaf, Kaushik Najare, and Niraj Shevkari. "IoT for Smart Parking System." In 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA). IEEE, 2024. https://doi.org/10.1109/icaiqsa64000.2024.10882248.

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Jan, Naif Nasrullah M., Mustafa Al-Salem, Hamad Al-Dossary, Hussain Al-Silham, Ahmed A. Hussain, and Samir El-Nakla. "IoT and WSN-based Smart Parking Monitoring System." In 2024 6th International Symposium on Advanced Electrical and Communication Technologies (ISAECT). IEEE, 2024. https://doi.org/10.1109/isaect64333.2024.10799708.

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Narsingoju, Bhavana, Rajashree Jain, and Bali Shankar Khurana. "IoT based Intelligent Parking System for Smart Cities." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774764.

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Ranjani, Pavalla Roopa, and Nerella Harini. "IoT Based Cloud-Integrated Smart Parking System With Reservation." In 2024 International Conference on System, Computation, Automation and Networking (ICSCAN). IEEE, 2024. https://doi.org/10.1109/icscan62807.2024.10894637.

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C, Jenila, and Harshan K. "IoT-based Smart Parking System: Hardware-Centric Approach for Addressing Urban Parking Challenges." In 2024 2nd International Conference on Networking, Embedded and Wireless Systems (ICNEWS). IEEE, 2024. http://dx.doi.org/10.1109/icnews60873.2024.10731004.

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Bisht, Akshaj Singh, Armaano Ajay, and S. Prasanna Bharathi. "IoT-Based Automated Smart Parking Fee Management System using RFID Technology." In 2025 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS). IEEE, 2025. https://doi.org/10.1109/sceecs64059.2025.10940387.

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Kalaivani, L., R. Anitha, B. Nancy Freeda, V. Varsha, and A. Harini. "Smart Sensors and Internet of Things (IoT) based Bike Parking System." In 2025 International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2025. https://doi.org/10.1109/iciccs65191.2025.10984565.

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Nesa, Khairun, Jesmin Akhter, Md Mehedi Hassain, and Mohammed Abdul Kader. "Image Processing and IoT Based Smart Parking Slot Detection and Notification System." In 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE). IEEE, 2025. https://doi.org/10.1109/ecce64574.2025.11014054.

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Ahmed, Mohamed Mohamud, Rozeha A. Rashid, Abdirahman Abdikarim Ali, et al. "Integrating IoT Technologies for Smart Parking Management: A Cost-Effective System with Telegram-Based Real-Time Alerts." In 2024 IEEE 22nd Student Conference on Research and Development (SCOReD). IEEE, 2024. https://doi.org/10.1109/scored64708.2024.10872700.

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R, Mahaveerakannan. "Comparative Analysis of Deep Learning Algorithms for IoT-based Smart Outdoor Parking Systems using Weighbridge Load Sensors to Enhance Efficiency, Safety, and Convenience in Smart Cities." In 2025 7th International Conference on Inventive Material Science and Applications (ICIMA). IEEE, 2025. https://doi.org/10.1109/icima64861.2025.11073917.

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Reports on the topic "IOT based Smart parking system"

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Videa, Aldo, and Yiyi Wang. Inference of Transit Passenger Counts and Waiting Time Using Wi-Fi Signals. Western Transportation Institute, 2021. http://dx.doi.org/10.15788/1715288737.

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Passenger data such as real-time origin-destination (OD) flows and waiting times are central to planning public transportation services and improving visitor experience. This project explored the use of Internet of Things (IoT) Technology to infer transit ridership and waiting time at bus stops. Specifically, this study explored the use of Raspberry Pi computers, which are small and inexpensive sets of hardware, to scan the Wi-Fi networks of passengers’ smartphones. The process was used to infer passenger counts and obtain information on passenger trajectories based on Global Positioning Syste
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