Relevant bibliographies by topics / Smart Parking System

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Smart Parking System'

Author: Grafiati
Published: 4 June 2021
Last updated: 11 September 2023

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Journal articles on the topic "Smart Parking System"

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Jung, In Hwan, Jae Moon Lee, and Kitae Hwang. "Smart Parking Management System Using AI." Webology 19, no. 1 (January 20, 2022): 4629–38. http://dx.doi.org/10.14704/web/v19i1/web19307.

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This paper is aimed to introduce a smart parking lot management system using multiple cameras and artificial intelligence technique. When a vehicle enters a parking lot, it recognizes the vehicle number using embedded camera, tracks which parking space the vehicle is parked in, and updates parking space information. In addition, using a surveillance camera images, it has been also implemented to detect collision accidents that may occur while the vehicle is moving in the parking lot. Vehicle number recognition system uses OCR technique and is implemented on a Raspberry system. By managing the vehicle number recognized at the entrance of the parking lot as an Object ID, it was possible to effectively track the vehicle as a moving object inside the parking lot and finally identify the parking location. In order for accident detection, YOLO with CNN deep learning process is used. More than 500 possible collision images are trained in advance. Experimental results show that the detection accuracy of parking and accident detection increases as the number of training images increases. The accident detection needed more training images because it has more diversity. By using the smart parking system implemented in this paper, it is possible to effectively manage the vehicle's parking location, free space information and possible accidents. Using a cloud system, implemented system can provide drivers an integrated parking lot information over large areas.
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Shetty, Yashaswi. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 2286–90. http://dx.doi.org/10.22214/ijraset.2018.3363.

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Suruthi, Mano. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 6, no. 3 (March 31, 2018): 2966–71. http://dx.doi.org/10.22214/ijraset.2018.3649.

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Kumar, Madhumita Manish, and Geetanjali Yatnalkar. "Smart Parking System." International Journal of Advanced Engineering and Nano Technology 4, no. 6 (September 30, 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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Bharathi, V. C. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 9, no. VII (July 20, 2021): 1823–26. http://dx.doi.org/10.22214/ijraset.2021.36746.

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In the modern age, many people have vehicles. Vehicle is now a primary need. Every place is under process of urbanization. There are many supermarkets and shopping centers etc. There are many creative places where people used to go for refreshing and relaxation. All these places are full of with people so they need a parking space where people can park their vehicles safely and easily. Every parking area needs a website or system that records the detail of vehicles to give the parking facility. With the help of iot based system we can deliver a good service to users/people who wants to park their vehicles into organization’s premises. Present days in parking areas they just maintain the vehicles just with tokens and they have records of vehicle details in books so that during some critical situations like police enquiry of terrorist car or vehicle missing that case it is difficult to find the details of particular vehicle. But with our parking management system it is easy to find within 1 to 2 seconds. By parking the vehicle in public place the vehicle can be claimed by other person but in this case there is no such problem and no need to give fine for anything we can park our vehicle with securely.
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Mohammad, Alamgir. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 6, no. 5 (May 31, 2018): 81–83. http://dx.doi.org/10.22214/ijraset.2018.5011.

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B, Sandeep, Dr K. S. Keerthiprasad, Manuraj D C, Rakshith Gowda M, and B. L. Manohara. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 11, no. 7 (July 31, 2023): 589–99. http://dx.doi.org/10.22214/ijraset.2023.54718.

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Abstract: In many situations, the people owning vehicles should leave their vehicles parked for couple of days to travel by other means of transportation (Flights from International Air ports). Sometimes the vehicles get damaged and they even get stolen. The vehicles needed to be parked in specified area safety. Keeping the above problem in mind, our research work proposes an idea of smart parking system. The user shall be given a slot and an admin card of the parking lot after making the online payments. The user can use the admin card to access the parking lot. The door opens if the admin card is used. The parking lot shall also be equipped with firefighting system, infrared sensors, motion sensor with efficient signaling/feedback system interlinked to Communication devices, so as to detect if incase of fire or someone breaks into the parking lot, intended to steal or make damages to the vehicle. The smart parking system sends alert message with live streaming to the admin/user/customer’s Mobile or any Communication devices making him/her aware of the situation and initiate right action to protect the vehicle from further destruction.
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Kumar, Suraj. "Smart Parking System." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 707–11. http://dx.doi.org/10.22214/ijraset.2023.51594.

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Abstract: In recent days, Parking allocation has become a major problem in modern cities for which numerous smart parking systems have been developed. This paper aims to provide comprehensive study, comparison and extensive analysis of Smart Parking Systems in terms of technological approach, user interface, computational approaches, and service provided. Moreover, the paper fills up the research gap by providing a clear insight into the suitability of SPSs in various environmental conditions and highlights their advantages/disadvantages. The extensive comparison among multiple aspects of SPSs would enable researchers, designers, and policymakers to identify the best suited Smart Parking System and understand the current trends in this sector. In order to overcome difficulties such as waiting in long queue and circling around the blocks to find a vacant parking space, in this paper we are proposing a unique system wherein people living in the vicinity of crowded streets can rent their unused parking space. Using this approach, especially malls can productively manage the parking problem effectively during rush hours. This system also provides convenience to customers by reducing the amount of time spent to find a vacant parking slot by allowing them to reserve a vacant slot through pre-book.
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Ariesta Agung Permana Putra and I Putu Satwika. "SMART PARKING DALAM MENUNJANG IMPLEMENTASI SMART CITY DI KOTA DENPASAR." Smart Techno (Smart Technology, Informatics and Technopreneurship) 4, no. 2 (September 22, 2022): 56–60. http://dx.doi.org/10.59356/smart-techno.v4i2.58.

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Density in Denpasar City is increasing every year. In addition to the density of its citizens, vehicles have also increased. This can make it increasingly difficult for Denpasar City to get to Smart City because it cannot achieve Smart mobility which is one of the main points of Smart City itself. One of the scopes of a smart mobility is a parking system. The parking system is one of the scopes of smart mobility because the parking system can be a source of congestion. We can see in several types of events held in Denpasar City, for example, PKB which is an annual event in Denpasar. Many residents of Denpasar City complained that they had difficulty finding parking and ended up looking for other parking alternatives that might be further away. During the search process, most of them will drive their vehicles slowly so that when there is an empty parking lot they don't miss it. The smart parking system is one solution that can be applied to reduce congestion in the city of Denpasar which is increasing. In addition to being able to break down congestion, the Smart Parking system is considered a more efficient system because it uses minimal resources and can use existing human resources as personnel in supervising a parking lot.Smart Parking, Parking Area
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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 (June 30, 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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Dissertations / Theses on the topic "Smart Parking System"

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Yadavalli, Siri Chandana. "Smart Parking System." Kansas State University, 2016. http://hdl.handle.net/2097/32653.

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Master of Science
Department of Computing and Information Sciences
Daniel A. Andresen
Locating a parking spot during peak hours in most populated areas like shopping malls, universities, exhibitions or convention centers is difficult for the drivers. The difficulty rises from not knowing where the available spots may be at that required time. Smart parking is a solution to metropolitan cities to reduce congestion, cut vehicle emission totals and save persons' time by helping them in finding a spot to park. Smart Parking is a parking system, usually a new one that is equipped with special structured devices (things) to detect the available parking slots at any parking area. This is an application based on Internet of Things (IoT) that in Real-Time environment have sensors and devices embedded into parking spaces, transmitting data on the occupancy status; and the vehicle drivers can search for parking availability using their mobile phones or any infotainment system that is attached to the vehicle. Hence the driver would know where there is an available spot to park his vehicle in less time, reducing the energy consumption and air pollution. The Client or the sensor posts the parking slot occupancy status to a web service URL. The Java based web service is built using Spring and Hibernate to connect to the backend system. The web service (.war) file is deployed on Apache Tomcat Server and the backend used is MySQL database.
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Shaikh, Yasir Saleem. "Privacy preserving internet of things recommender systems for smart cities." Electronic Thesis or Diss., Institut polytechnique de Paris, 2020. http://www.theses.fr/2020IPPAS001.

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Au cours de la dernière décennie, la technologie Internet des objets (IoT) a révolutionné presque tous les domaines de la vie quotidienne et a dynamisé les villes intelligentes. Les villes intelligentes utilisent la technologie IoT pour collecter divers types de données de capteurs, puis les utilisent pour offrir diverses applications. Comme les applications des villes intelligentes sont utilisées par les citoyens, donc leur fournir des services de recommandation personnalisés en fonction de leurs préférences, de leurs localisations et de leurs profils ainsi que l'exploitation des données IoT (par exemple, la congestion du trafic et l'occupation du parking) est d'une grande importance qui pourrait être fournie par un recommandateur IoT. Cependant, comme le recommandateur IoT utilise les données privées des citoyens (profils, préférences et habitudes, par exemple), il viole la vie privée des utilisateurs car il pourrait suivre les routines et les habitudes des utilisateurs en analysant la base de données historique ou en analysant les services de recommandation réguliers qu'il offre. Par conséquent, il est important de préserver la confidentialité des utilisateurs du programme de recommandation IoT. Dans cette thèse, nous proposons un nouveau système de recommandation IoT préservant la confidentialité pour les villes intelligentes, qui fournit des recommandations en exploitant les données IoT des capteurs et en tenant compte de diverses métriques. Notre approche est organisée en trois parties. Tout d'abord, nous développons un système de recommandation IoT conforme au règlement européen sur la protection des données (GDPR) pour les systèmes de stationnement intelligent. Ces systèmes fournissent des recommandations sur les emplacements et les itinéraires de stationnement en exploitant les données des capteurs de stationnement et de circulation. Par conséquence, nous proposons d’abord une approche pour la cartographie des capteurs de trafic avec les coordonnées d’itinéraires afin d’analyser les conditions de trafic (par exemple le niveau de congestion) sur les routes. Ensuite, nous avons mis en place un dispositif de recommandation IoT. Le recommandateur IoT a été intégré au scénario d'utilisation du stationnement intelligent d'un projet H2020 EU-KR WISE-IoT et a été évalué par les citoyens de Santander, en Espagne, à l'aide d'un prototype. De plus, nous développons un recommendateur IoT pour le ski intelligent qui fournit des itinéraires de ski comprenant des types de pistes spécifiques, ainsi que la piste la plus proche. Pour les itinéraires de ski, il n’existe aucun moteur de calcul stable. Par conséquent, un nouveau moteur de routage pour les itinéraires de ski a été développé. Ce travail a également été intégré dans le cas d'utilisation du ski intelligent du projet WISE-IoT. Deuxièmement, bien que le recommandateur IoT développé pour le stationnement intelligent soit conforme au GDPR, il ne protège toutefois pas totalement la vie privée des utilisateurs. En effet, le partage sans discernement des données des utilisateurs avec un système tiers de recommandation de stationnement IoT non approuvé ou semi-fiable provoque une violation de la vie privée. En effet, le comportement et les schémas de mobilité des utilisateurs pouvant être déduits en analysant l'historique de leurs déplacements. Par conséquent, nous préservons la confidentialité des utilisateurs contre le système de recommandation de stationnement tout en analysant leur historique de stationnement en utilisant des techniques de k-anonymat et de confidentialité différentielle. Enfin, étant donné que les applications de villes intelligentes sont développées de manière verticale et ne se parlent pas. Par conséquent, nous avons proposé deux cadres pour les services de recommandation parmi les applications de villes intelligentes utilisant l'IdO social
During the past decade, the Internet of Things (IoT) technology has revolutionized almost all the fields of daily life and has boosted smart cities. Smart cities use IoT technology to collect various types of sensors’ data and then use such data to offer a variety of applications. Since the smart cities’ applications are used by the citizens, therefore providing the customized recommendation services to the citizens based on their preferences, locations and profiles, as well as by exploiting the IoT data (e.g., traffic congestion and parking occupancy) is of great importance which could be provided by an IoT recommender. However, since the IoT recommender utilizes the private data of citizens (e.g., profiles, preferences and habits), it breaches the privacy of the users because the IoT recommender could track the routines and habits of the users by analyzing the historical database or by analyzing the regular recommendation services it offers. Therefore, it is important to preserve the privacy of the users from the IoT recommender. In this thesis, we propose a novel privacy preserving IoT recommender system for smart cities that provides recommendations by exploiting the IoT data of sensors and by considering various metrics. Our approach is organized in three parts. Firstly, we develop an EU General Data Protection Regulation (GDPR)-compliant IoT recommender system for smart parking system that provides recommendations of parking spots and routes by exploiting the data of parking and traffic sensors. For this, we first propose an approach for the mapping of traffic sensors with route coordinates in order to analyze the traffic conditions (e.g., the level of congestion) on the roadways and then developed an IoT recommender. The IoT recommender has been integrated into the smart parking use case of an H2020 EU-KR WISE-IoT project and has been evaluated by the citizens of Santander, Spain through a prototype. Additionally, we develop an IoT recommender for smart skiing that provides skiing routes comprised of specific types of slopes, as well as the nearest slope. For skiing routes, there does not exist any stable routing engine. Therefore, a novel routing engine for skiing routes was developed. This work has also been integrated into the smart skiing use case of WISE-IoT project. Secondly, although the developed IoT recommender for smart parking is GDPR-compliant, however, it does not fully protect the privacy of users. Because, an indiscriminately sharing of users’ data with untrusted third-party IoT parking recommender system causes a breach of privacy, as user’s behavior and mobility patterns can be inferred by analyzing the past travelling history of users. Therefore, we preserve privacy of users against parking recommender system while analyzing their past parking history using k-anonymity and differential privacy techniques. Lastly, since the smart cities applications are developed in a vertical manner and do not talk/communicate with each other, i.e., each application is developed for a certain scenario which generally does not share data with other smart cities applications. Therefore, we proposed two frameworks for the recommendation services across smart cities applications using social IoT. Firstly, on how social IoT can be used for the recommendation services across smart cities applications, and secondly, we propose another type of communication of social IoT at a global level, i.e., social cross-domain application-to-application communications, that enables smart cities applications to communicate with each other and establish social relationships between them
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MALIK, SHIVANI. "SMART PARKING SYSTEM." Thesis, 2019. http://dspace.dtu.ac.in:8080/jspui/handle/repository/17473.

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Internet of Things, this term became popular over the last few years, but its existence was discovered in the early 2000s. IOT consists of mainly two words,Internet which refers to the collection of vast global network of connected servers, computers, and mobilesusingtheinternationallyusedprotocols.WithInternetonecan send, receive,or communicate the information. Things can have different meaning example a physical object, an action or idea, situation or an activity. In IoT basically there is inter-network of the devices and physical objects.The objects can gather the data at remote locations and communicate to different units. With IoT different things such as wearable, watch, home devices can work smartly and collaborate with sensing, computing.IoT has made advancements in a number of fields such as Transport, Health Care, Smart Parking, Agriculture,Irrigation,Weathermonitoringetc. With continuous growth in the population, there has been an increase in personal and public vehicles.Easy transportation is a basic need in today’s world where time is most precious.So it is really necessary that transportation must be carried out smoothly with fast moving lives of people.Traffic congestion is a major problem leading to delay in transportation and increasing pollution. Car Parking plays a major role in traffic congestion and the parking facilities in urban cities are still unable to improve their facility.Car Parking is a regular and frustrating activity for many people in cities around the world. So due to the traffic congestion and cars waiting to park burns about one million barrels of world’s oil every day[4]. As the worldwide population continues to 5 urbanize without a well-planned,convenient parking management of the vehicle, these issues will get worse.Smart Parking could save 2, 20,000 gallons of fuel by 2030 and approx, according to a study. 3,00,000 gallons of fuel if effectively introduced by 2050[4].Other than wastage of time in searching for parking space,the environment is also affected by the emission of damaging and terrible car gases. This emission by combustion of petrol adulterates the atmosphere with CO2 and other gases.So,it has become a necessity to implement Smart parking System atleast in low air quality and densely polluted areas.Therefore in this report a Smart Parking Management system is introduced. People can search for empty parking spaces beforehand using an android application,resultinginthereductionofwaitingtime,trafficcongestion,pollutionetc.
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Liao, Zi-Qin, and 廖子欽. "The Internet of Things Smart Parking System." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/hhdkf6.

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碩士
樹德科技大學
電腦與通訊系碩士班
106
In order to solve the problem of car search and parking. This paper proposes the IOT smart parking system. First, we use the mobile APP to search the parking information nearby for user. After arriving at the parking lot, we park the vehicle to the parking platform and start the camera to take the license of the car. Then we transfer it to the cloud database. The parking platform drives to an empty parking space that is close to the user by PID tracking technology. We use ZigBee wireless transmission to upload the detected parking status to the cloud database. When the owner comes to take the car, he only needs to enter the license plate number, the system will automatic find the parking position of the vehicle, and the parking vehicle will automatic carry the car to the exit for the owner to use. This paper provides an automatic, efficient and convenient parking system by using the smart parking system of the IOT to improve the search and parking problems of the old parking system.
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Werner, Samuel Davi. "Development of an automated bicycle parking spot for a smart parking system." Master's thesis, 2021. http://hdl.handle.net/10198/24005.

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Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do Paraná
Smart parking systems are promising solutions for a set of traffic-related problems in major cities across the world. The goal of those systems is to guide users through paths in which they spend less time, resources, and release fewer greenhouse gases to find a parking spot. To this end, deployers develop Cyber-physical Systems that generally comprise embedded electronics materials, Internet of Things technologies, and Artificial Intelligence concepts. This work combines ESP8266 microcontrollers and Raspberry Pi microprocessors through MQTT communication protocol to implement its architecture, a few possible different options for the actuator are also presented, and a project for the power supply by lowcurrent photovoltaic panels is documented. Therefore, the goal is to work over some options and ideas for the physical implementation of the low-level electronics physical stage of a smart parking Cyber-physical System. The results include validated actuator options, a small photovoltaic generation sizing, and the deployment of a microcontroller routine capable of properly operate as a physical asset controller enabling scalability.
Sistemas de estacionamento inteligentes são soluções promissoras para uma gama de problemas relacionados a tráfego de automóveis em grandes cidades do mundo. O objetivo destes sistemas é guiar seus usuários por caminhos pelos quais os mesmos gastam menos tempo, recursos e liberam menos gases contribuintes para o efeito estufa a fim de encontrar um local de estacionamento. Para este fim, desenvolvedores implementam Sistemas Ciber-físicos que geralmente incluem materiais de eletrônica embebida, tecnologias de Internet das Coisas e conceitos de Inteligência Artificial. Este trabalho combina os microcontroladores ESP8266 e microprocessadores Raspberry Pi pelo protocolo de comunicação MQTT a fim de implementar sua arquitetura definida, também apresenta algumas possíveis opções para a implementação de um atuador e o projeto para suprir o consumo de eletricidade por painéis fotovoltaicos de baixa corrente. Portanto, o objetivo é trabalhar em possíveis opções e ideias para a implementação física da etapa de eletrônica de baixo nível de um Sistema Ciber-físico para estacionamentos inteligentes. Os resultados incluem opções validadas de atuadores, um dimensionamento de geração fotovoltaica de baixa potência e o desenvolvimento de uma rotina para o que o microcontrolador aja como um controlador local e permita escalabilidade.
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Lee, Zhu-You, and 李竹祐. "Design and Implementation of a Smart Parking System." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/84676761158301684091.

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碩士
淡江大學
資訊工程學系碩士在職專班
100
Recently, Energy Saving and Carbon Reduction have received much attention. A variety of executed construction projects aim at energy saving. In these projects, most energy is consumed for lighting which needs to be mainly improved. For instance, the lights in the parking lot are always turned on whether or not someone is there. Hence, it leads to energy wastage. This paper aims to design an embed-ded control module embedding Octopus X module. The designed control module can automatically control the lights and guide people to their parking space by following the light-path so that manpower and en-ergy consumption can be reduced. The designed module sends control signals through Zigbee network, hence the de-ployment cost can be reduced.
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Fuentes-Curiel, Cristina. "SmartPark : an intelligent and dynamic parking system." 2013. http://hdl.handle.net/2152/22598.

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Parking garages have remained fairly outdated even as embedded systems have been introduced virtually everywhere to improve the human existence. Some provide information about whether they are full or not, but that does not offer a better parking experience, it only informs people once they are already there and is inconvenient. This causes people to circle the parking lot numerous times, making the process inefficient and wasteful. The SmartPark parking system fills that gap by providing an automated infrastructure that collects information regarding the availability of parking spaces in a garage. As modern technology grows and expands the connectivity available on automobiles, it would be even possible to interface with the car itself to provide parking information. Each space has an ultrasonic sensor attached to a microcontroller that communicates with a master, who keeps and displays the overall count of spaces available. The purpose of this paper is to provide the capability of dynamically adding and removing slaves, without requiring individual configuration for each slave prior to its deployment. A sequence of communication exchanges will be described in order for a slave to register itself with its master. Through a series of messages, the slave will be able to identify its location and begin reporting the state of its space, and the master will continue to keep track of existing slaves and their states. The result of the research is a protocol that allows successful pairing of a new slave with its master without previous static configuration, which allows an easy deployment of the system without dependence on its original configuration. This functionality will make the system more scalable, allowing the parking system to be extended by connecting new slaves wherever they are needed. It will also make it more maintainable, since slave replacement or relocation will become an easy task. SmartPark can easily be adapted to existing parking structures with only the installation of the master and slave nodes, due to its limited resource requirements. Related work is also discussed and an insight into how this methodology can be used to modernize current automated parking systems is provided.
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Alves, Bruno Rafael. "Architecture and negotiation protocols for a smart parking system." Master's thesis, 2018. http://hdl.handle.net/10198/22753.

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Mestrado de dupla diplomação com a UTFPR - Universidade Tecnológica Federal do Paraná
Smart City uses emerging technologies to improve citizens’ quality of life. A branch of this topic is the Smart Parking, where the parking system implements intelligent mechanisms to simplify to the searching of parking spots and consequently decrease the traffic of cars. This work proposes an architecture using Multi-Agent System (MAS), enhanced with some holonic systems principles, that is capable to be applied to different range of parking systems, e.g., considering trucks, cars, or bicycles. Being a distributed architecture, a special attention is devoted to study the negotiation protocols that will regulate the behavior of autonomous and cooperative actors in the system, namely drivers and parking spots, during allocation process of parking spots to drivers. For this purpose, the Contract Net Protocol (CNP), English Auction, Dutch Auction and Faratin Auction were the tested, being the CNP the selected protocol for this problem. Also addressing the distributed nature of the system, some efforts were focused on the security of the messages exchanged between the agents was proposed using Secure Socket Layer (SSL). The proposed multi-agent systems architecture was implemented using JADE (Java Agent DEvelopment Framework), which is a FIPA-compliant agent development framework that simplifies the development of agent-based applications. The exchange of messages follows the FIPA-ACL protocol using the CNP protocol for the negotiation. The communication between the agents and the User Interface is performed through the use of Message Queuing Telemetry Transport (MQTT) protocol.
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Shen, Chih-Heng, and 沈治衡. "E-commerce Smart Parking Management System with Navigation Function." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/jcqrxp.

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碩士
國立高雄第一科技大學
電子工程系碩士班
106
The purpose of this thesis is to develop an "e-commerce smart parking lot management system with parking space guidance function", which will be applied to the Internet of Things and related technologies that were studied during the period of being the assistant in the National Energy Science and Technology Program. In this system, the application of the smart phone is mainly used to transmit the consumer data to the management system by NFC near-field communication[1][2][3][4] and Wi-Fi, so that the management system can carry out the data through the information database[5] returned by the user to do data comparison, data modification or data update, and use the Raspberry Pi[6][7] or Arduino to operate the parking space management function of the parking lot or the control simulation of related hardware devices, such as: entry and exit fence control parking space occupancy detection. The content of this thesis includes mobile phone application, parking space detection simulation, store consumption amount update simulation, and entrance and exit parking simulation. In addition, since not all models of the currently commercially available Android phones have NFC functions, and the devices using the IOS system have NFC functions, they have not opened up the use rights to develop functions for developers who write IOS programs. Thus, this thesis additionally develops a way to assist the smart phone that cannot use NFC function by scanning the QR Code, so that the user can use the system without being restricted by the function of the mobile phone.
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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 system. People are getting delay due to extra jam on traffic while they are on their own way to work, home or any other places. This is a major reason of fuel burning and time delay. Currently, almost every person who has a vehicle is facing a very serious problem of parking. With proposed IoT solution we can solve these problems more efficiently. In our thesis, we have come up with an algorithm that can help in resolving traffic congestion and making parking system smarter. We have proposed an algorithm for reading car number plate i.e. License Number Plate (LNP) detection based on advanced algorithm for convergence of grey scale image and morphologic effect. We suggested for traffic control, Intersection time deduction advanced techniques with the help of IoT sensors and AI (Fuzzy system). In given time duration number of passed vehicles can be maximized. We have also included Cloud based parking system with the help of IoT, Which uses IoT based module to scan vacant space in parking area. Hereafter, we can work on AI techniques for Vehicle Over speed monitoring, automatically detecting road accident and contact emergency number, an IoT based system for privacy and security of data for Smart parking and improvement in traffic control.
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Book chapters on the topic "Smart Parking System"

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Pasala, Keerthi Lavanyeswari, Charitha Sree Jayaramireddy, Sree Veera Venkata Sai Saran Naraharisetti, Steven Atilho, Benjamin Greenfield, Benjamin Placzek, Mohamed Nassar, and Mehdi Mekni. "Smart Parking System (SPS): An Intelligent Image-Processing Based Parking Solution." In Smart Energy for Smart Transport, 291–99. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23721-8_25.

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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, 465–72. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6001-5_38.

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Sajna, S., and Ranjith Ravindranathan Nair. "Learning-Based Smart Parking System." In Proceedings of International Conference on Computational Intelligence, 147–58. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2126-1_11.

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Sibal, Dhairya, Aditya Jain, and P. C. Jain. "Smart Parking Management System in Smart City." In Lecture Notes in Electrical Engineering, 1–9. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2818-4_1.

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Madhumitha, V., V. Sudharshini, S. Muthuraja, Sivakumar Rajagopal, S. A. Angayarkanni, and Thamer Al-Rousan. "A Novel and Smart Parking System for the University Parking System." In Learning and Analytics in Intelligent Systems, 63–73. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-65407-8_6.

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Jyothish, Jhanavi, Mamatha, Srilakshmi Gorur, and M. Dakshayini. "Booking Based Smart Parking Management System." In Communications in Computer and Information Science, 312–19. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7635-0_24.

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Patil, Abhinav, Yash Keni, and Wricha Mishra. "CARSA—Smart Integrated Car Parking System." In ICT Analysis and Applications, 315–30. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5224-1_32.

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Usharani, Shola, and A. Karmel. "Smart Parking System and Its Applications." In Transactions on Computer Systems and Networks, 75–99. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2184-1_4.

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Ahmad, Mohamad Hafiz, Nurul Amierah Cheah Yasser Cheah, and Mohamad Tarmizi Abu Seman. "Embedded RFID System: OKU Smart Parking." In Lecture Notes in Electrical Engineering, 203–19. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-2406-3_17.

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Swami, Ishita, and Anil Suthar. "Smart Vehicle Tracker for Parking System." In Advances in Intelligent Systems and Computing, 455–62. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6067-5_51.

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Conference papers on the topic "Smart Parking System"

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Narode, Prasad, Samruddhi Kalekar, Sanket Sanap, and Harmeet Khanuja. "Smart Parking Management System." In 2019 5th International Conference On Computing, Communication, Control And Automation (ICCUBEA). IEEE, 2019. http://dx.doi.org/10.1109/iccubea47591.2019.9129585.

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Grodi, Robin, Danda B. Rawat, and Fernando Rios-Gutierrez. "Smart parking: Parking occupancy monitoring and visualization system for smart cities." In SoutheastCon 2016. IEEE, 2016. http://dx.doi.org/10.1109/secon.2016.7506721.

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Simeunović, Milja, Zoran Papić, Pavle Pitka, Dejan Radivojev, and Nenad Saulić. "Smart Parking Technologies." In TRANSPORT FOR TODAY'S SOCIETY. Faculty of Technical Sciences Bitola, 2021. http://dx.doi.org/10.20544/tts2021.1.1.21.p49.

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Abstract –The Smart city concept involves the use of smart technologies to improve the quality of life of all residents. Traffic, as an important functioning component of all human activities, has an important role in smart city planning. Within this paper will be introduce some of the smart technologies used in the parking system. Keywords – parking, smart technologies, sensors.
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Mirunalini, P., B. Bharathi, Nirupan Ananthamurugan, Skanda Suresh, and Shreyas Gopal. "Multi-Level Smart Parking System." In 2018 International Conference on Computer, Communication, and Signal Processing (ICCCSP). IEEE, 2018. http://dx.doi.org/10.1109/icccsp.2018.8452835.

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Patil, Balwant K., Avinash Deshpande, Sonal Suryavanshi, Rudresh Magdum, and B. Manjunath. "Smart Parking System for Cars." In 2018 International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering (ICRIEECE). IEEE, 2018. http://dx.doi.org/10.1109/icrieece44171.2018.9008662.

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Rajbhandari, Sachet, Bhumika Thareja, Vikas Deep, and Deepti Mehrotra. "IoT Based Smart Parking System." In 2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). IEEE, 2018. http://dx.doi.org/10.1109/3ict.2018.8855787.

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Adhatarao, Sripriya Srikant, Omar Alfandi, Arne Bochem, and Dieter Hogrefe. "Smart parking system for vehicles." In 2014 IEEE Vehicular Networking Conference (VNC). IEEE, 2014. http://dx.doi.org/10.1109/vnc.2014.7013341.

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Chowdhury, Lomat Haider, Z. N. M. Zarif Mahmud, Intishar-Ul Islam, Ishrat Jahan, and Salekul Islam. "Smart Car Parking Management System." In 2019 IEEE International Conference on Robotics, Automation, Artificial-intelligence and Internet-of-Things (RAAICON). IEEE, 2019. http://dx.doi.org/10.1109/raaicon48939.2019.49.

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Ejaz, Mohammad, Neha Neha, and Pooja Gupta. "IoT based smart parking system." In Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India. EAI, 2023. http://dx.doi.org/10.4108/eai.24-3-2022.2319006.

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Agarwal, Yash, Punit Ratnani, Umang Shah, and Puru Jain. "IoT based Smart Parking System." In 2021 5th International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2021. http://dx.doi.org/10.1109/iciccs51141.2021.9432196.

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