Relevant bibliographies by topics / RFID Vehicle

Contents

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

Academic literature on the topic 'RFID Vehicle'

Author: Grafiati
Published: 4 June 2025
Last updated: 23 June 2025

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Journal articles on the topic "RFID Vehicle"

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Deng, Jian Xin. "An Architecture of the Vehicle Tracking System Based on RFID." Applied Mechanics and Materials 278-280 (January 2013): 1653–57. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.1653.

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Vehicle tracking plays more important roles in modern transportation and logistics operation. This paper deals with a new approach to track vehicles based on RFID (Radio Frequency Identification) technology. The basic steps of vehicle tracking based on RFID are introduced and a six-layered architecture for the vehicle tracking system integrating databases, RFID tags, RFID readers, data centers, networks and user interface is presented, where the positions of vehicles are attained directly by compared the RFID readers collecting vehicle RFID tags with their position information in the database. It is shown that this vehicle tracking method uses RFID more fully, the architecture with clear levels, adapts to the future technical and practical requirements, and can help fuse more complicated applications like intelligent charging and cargo tracking.
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Achmad, Said, Raditya Adinugroho, Nur Safii Hendrawan, and Thomas Franklin. "IoT Based Vehicle Safety Controller Using Arduino." Engineering, MAthematics and Computer Science (EMACS) Journal 5, no. 1 (2023): 1–6. http://dx.doi.org/10.21512/emacsjournal.v5i1.9251.

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Several people try to break into vehicles and steal vehicles left by their owners, sometimes even without the owner's knowledge. There are still various ways that can be done to a turn on the vehicle without the key from the vehicle so that the vehicle can be stolen easily. Due to the ease of break-in from some vehicles, several additional security implementations can be installed. One of these ways is to implement IoT and RFID. There are several implementations of IoT as an extra device for safety and tracking vehicles. RFID can be Implemented as an additional key or access. IoT and RFID can be combined to provide additional safety for vehicles and prevent vehicle theft. This research aims to propose a device that uses IoT technology and RFID to keep the vehicle safe and track the use of the vehicle. This research use Arduino, RFID, and GPS module. The proposed device was tested under various conditions of RFID use and the level of accuracy of the GPS module used. The test results show that the proposed tool can work well for security and tracking needs.
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M, Vidyashankar. "Enhancing Public Safety and Traffic Management: A Machine Learning Solution for Missing Vehicles and Smart Signaling." International Journal for Research in Applied Science and Engineering Technology 13, no. 2 (2025): 842–45. https://doi.org/10.22214/ijraset.2025.66978.

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This paper presents a system for missing vehicle tracking and smart traffic signaling using machine learning, embedded systems, RFID, and OpenCV. The missing vehicle tracking component uses RFID tags and readers at strategic locations to identify and track vehicles. Upon a theft report, the system activates tracking, utilizing RFID data and potentially integrating with other tracking mechanisms (e.g., GPS if available) to locate the vehicle. The smart signaling system employs OpenCV and cameras to analyze real-time traffic flow. Machine learning algorithms process this visual data to predict congestion and dynamically adjust signal timings for optimized traffic flow. The system integrates these two aspects: in the event of a stolen vehicle being identified via RFID, the smart signaling system can prioritize traffic flow in the vehicle's direction, aiding in recovery. This combined approach aims to reduce vehicle theft, improve traffic management, enhance safety, and contribute to cost savings through optimized traffic flow and faster vehicle recovery.
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Kumar, Mr K. Vinod. "Improving the Security System for the Vehicle by Using the Driving License and Fingerprint Automation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29633.

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In contemporary times, the widespread use of vehicles necessitates robust protection against theft, which is achieved through the integration of RFID tags and fingerprint authentication. This paper introduces a vehicle ignition system that leverages RFID tags and fingerprint recognition to safeguard vehicles from unauthorized access. Authorized RFID tags initiate the authentication process, complemented by fingerprint verification for driver identification. Upon successful authentication, a relay is activated, enabling the ignition system, while a red LED displays the status. In the event of authentication failure, an alarm buzzer prevents unauthorized entry. This system significantly enhances vehicle security and ensures a smooth user experience, with potential for customization and scalability across various vehicle models. Key components include In contemporary times, the widespread use of vehicles necessitates robust protection against theft, which is achieved through the integration of RFID tags and fingerprint authentication. This paper introduces a vehicle ignition system that leverages RFID tags and fingerprint recognition to safeguard vehicles from unauthorized access. Authorized RFID tags initiate the authentication process, complemented by fingerprint verification for driver identification. Upon successful authentication, a relay is activated, enabling the ignition system, while a red LED displays the status. In the event of authentication failure, an alarm buzzer prevents unauthorized entry. This system significantly enhances vehicle security and ensures a smooth user experience, with potential for customization and scalability across various vehicle models. Key components include Arduino, Fingerprint Sensor, RFID Reader, RFID Tag, GSM module, Relay, Motor, LED, and LCD. Key Words: Arduino, Fingerprint Sensor, RFID Reader, RFID Tag, GSM module, Relay, Motor, LED, and LCD.
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Setiawan, Herri, Tasmi Tasmi, and Dhamayanti Dhamayanti. "Design of Additional Safety Locks for Motor Vehicles Using RFID." Journal of Information Systems and Informatics 5, no. 4 (2023): 1691–704. http://dx.doi.org/10.51519/journalisi.v5i4.620.

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Indonesia, facing the dual challenges of rapid economic development and rising vehicle theft rates due to economic inequalities, has prompted a need for innovative security solutions in the automotive sector. This research aims to address this growing concern by introducing a sophisticated motor vehicle security system utilizing Radio Frequency Identification (RFID) technology. The proposed system employs RFID keys, which use ID tag cards as unique identifiers to activate motor vehicles. The methodology centers around the integration of RFID technology with a microcontroller, creating a security system that is both advanced and user-friendly. This system includes an alarm feature that is triggered when an ID tag card not registered with the vehicle's RFID is used, providing an additional layer of security against unauthorized access. The results of implementing this system have been promising. Testing revealed that the RFID locks, when combined with the microcontroller, effectively recognized authorized ID tag cards and successfully denied access when unauthorized cards were used. The alarm system also functioned as intended, activating when discrepancies in ID tag data were detected. This integration of RFID with a microcontroller not only enhanced the security of motor vehicles but also contributed to a significant reduction in vehicle thefts in the community, showcasing the potential of RFID technology as a viable solution to the prevalent issue of vehicle security in Indonesia.
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Gong, Dong Liang, Rong Yi Niu, Jie Jin, and Hua Geng. "RFID Technology Application in Electric Vehicle’s Battery Charging Stations." Advanced Materials Research 608-609 (December 2012): 1545–52. http://dx.doi.org/10.4028/www.scientific.net/amr.608-609.1545.

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Regarding the development of the electric vehicle replacement charging stations, this paper comes up with the application solution of RFID technology in the electric vehicle battery replacement charging stations. This paper first analyzes the specific characteristics of the RFID technology, provides an overview on the RFID technology solution to solve the management problem of the battery compartment, introduces the RFID technology application on the management of charging vehicles, as well as on the unified management of battery compartment in battery replacement charging stations. The paper makes the outlook on the RFID technology application in other fields of the electric vehicle replacement charging stations.
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Vamshi, B., K. Ajay, K. Shivani, and Dr Syed Jahangir Badashah. "RFID Based Vehicle Entry System." International Journal for Research in Applied Science and Engineering Technology 11, no. 1 (2023): 1466–71. http://dx.doi.org/10.22214/ijraset.2023.48809.

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Abstract: Each organization provides transportation vehicles and employs people to keep records of the entry and exit of those vehicles. The entry and exit times of vehicles are recorded using RFID. Radio frequency identification (RFID) is a wireless technology system consisting of her two components of a tag and a system. Radio frequency identification (RFID) is also used for vehicle monitoring. How the use of electromagnetic or capacitive coupling in the high-frequency portion of the electromagnetic spectrum draws attention to objects, animals, or people. An RFID chip contains a radio transmitter that transmits a coded identification number when interrogated by a reader. Some of his RFID tags can be inspected from a few meters away, out of sight of the reader. Bulk reads allow near-parallel analysis of tags. This small type is incorporated into customer products for identification and even implanted in pets. RFID has many uses in our daily life. Tags can be attached to any object and used to track and manage inventory, people, and more. For example, it can be attached to vehicles, laptops, books, cell phones, etc., and the owner or student can use her Google spreadsheet to track the vehicle by location. User can scan her QR or access Google Sheets
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Sun, Pengcheng, and Fei Li. "Research on RFID authentication Protocol in Internet of Vehicles." Scholars Journal of Engineering and Technology 9, no. 5 (2021): 51–57. http://dx.doi.org/10.36347/sjet.2021.v09i05.001.

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With the development of Internet of Vehicles, radio frequency identification technology (RFID) has been widely used in vehicle networks. The classic RFID authentication scheme cannot meet the special security and confidentiality requirements of RFID in Internet of Vehicles. This paper proposes an RFID authentication protocol in the Internet of Vehicles based on the certification center (CA). Through the certification center, you can avoid the Dos attack problem faced by the back-end server and reduce the server's computing burden. At the same time, through the authentication center, the identity authentication of the back-end server, reader and vehicle tag is indirectly achieved, which solves the problems of replay and malicious tracking that are often faced in RFID. The theory of formal logic language GNY proves that the protocol has high security in the Internet of Vehicles.
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Charles, Joel, Aniket Dhage, Gayatri Bodele, Trupti Bargat, and Dr Jyotsna Gawai. "Portable Smart Parking System Using Firebase." International Journal for Research in Applied Science and Engineering Technology 10, no. 2 (2022): 692–98. http://dx.doi.org/10.22214/ijraset.2022.40357.

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Abstract: In those days with the growing influx of population into developed, industrially and technologically sound urban cities, the urgent need to make cities smart is becoming obsolete. Cities are being made intelligent through data sharing, artificial intelligence, machine learning, analytics and thousands of RFIDs. Tags and sensors. There are billions of motor vehicles in the world. Vehicles can only enter if the reader detects a valid RFID tag on the door. An account is kept in the central database for each valid RFID tag. It allows us to monitor and save the time of entry and exit of the vehicle. An Android app is provided to guide the user. This database can also be analyzed to find patterns of days when there was parking demand. Keywords: Smart parking, IOT, Nodemcu, Firebase, RFID module.
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Reshma, Md. "Intelligent Traffic Light Control System." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1819–25. http://dx.doi.org/10.22214/ijraset.2024.59895.

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Abstract: The "Intelligent traffic light control system " project introduces an innovative approach to traffic management, aiming to expedite emergency vehicle passage. Utilizing Zigbee and Radio-Frequency Identification (RFID) technology, this system assigns a unique RFID tag to each vehicle, enabling precise tracking and control at traffic junctions. The scenarios involving emergency vehicle clearance, the system's responsiveness shines. When an emergency vehicle clearance approaches, the system rapidly receives the signal from zigbee transmitter associated with it and promptly triggers a green signal at the traffic junction. This prioritization ensures that emergency vehicles can navigate the traffic with minimal delays, potentially saving lives. Another remarkable feature of the system is stolen vehicle detection capability. In the event that a vehicle with a specific RFID tag is reported as stolen, the system is programmed to take action. It sends immediate SMS notifications to relevant authorities, such as law enforcement or the vehicle owner. This proactive response enhances the chances of recovering stolen vehicles and contributes to overall security. The hardware components of this system include Arduino Uno. Arduino Uno serves as the central control unit, processing RFID data and executing signal adjustments, while the GSM module facilitates real-time communication, enabling SMS alerts and notifications. The " Intelligent traffic light control system " project exemplifies how RFID technology and zigbee technology can revolutionize traffic management. By incorporating data analysis and automation, this system offers a multifaceted solution to common traffic-related challenges.
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Dissertations / Theses on the topic "RFID Vehicle"

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Lu, Yang. "RFID-Assisted Vehicle Navigation Based on Vanets." Miami University / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1610359420814424.

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Akinola, Paul. "Design and Implementation of an IoT Solution for Vehicle Access Control in Residential Environment." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-97047.

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To overcome the hurdles associated with space management and security controls in a housing system, research was projected to study and analyze the necessary factors of accomplishment. Over time, different processes were observed and reviewed to make this a possible deal. Various residents were interviewed on the daily constraints in parking and managing their vehicles within their housing premises. The reported daunting concern was majorly the gate access and personal hunts for the space to keep the individual resident’s cars. Every resident would always have to stop and hoot at the housing gate for the assigned personnel to check and open the gate. While this would waste every resident’s time, the visitors even face more delay often time. Hitherto, car access and parking constraint become a thing of worry that no one would want to engage the housing service anymore. The interest has got dwindled. And to re-awaken the high patronage of the housing system, a gap must be bridged with an immediate solution to space management with a gating system. These were subsequently given a classical thought, while a prototype solution was demonstrated and reviewed with the various residents of some selected housing. This received a high welcoming embracement and was beckoned to be made real by the logical heuristic. At this point, nothing was further considered than using the Internet of things (IoT) technology to implement Vehicular Access Management for the control and integration of intended space provisioning in any housings. Consequently, the number plate of every vehicle becomes the automatic access tag and would be used for security control within the housing location. Vehicles’ numbers would be captured and used to manage the residents passing through the automated gating system. With it, records would be made for all permitted residents and the visitors that own a car. Thus, a proper arrangement would be allotted accordingly, as provisioned by the gating system administrator. However, to allegories the above-proffered solution, this project work is divided into six sections. The introductory section introduces the project rationale, lists the objectives, explores related works, and introduces how IoT and vehicular systems can be merged. The second section delves into these vehicular systems. It introduces the Automatic License Plate Recognition System (ALRP) and the Raspberry Pi and highlights the merits of the Integrated Vehicular Access Security System. Open-CV and machine learning are also introduced. Section three covers the solution design, while section four is the implementation phase. Section five covers the testing and implementation of the solution. The final section summarizes the project. The project successfully models an automated solution for the security of tenants and vehicle users against unauthorized access to residential estates and buildings.
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Le, Minh Thuy. "Contribution à la conception d'un système d'identification et de classification de véhicules par les ondes électromagnétiques." Thesis, Grenoble, 2013. http://www.theses.fr/2013GRENT003/document.

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Les activités de transport de passagers et de marchandises augmentent sans cesse dans le monde et en particulier dans l'Union Européenne, entre autres au bord des péages. Afin d'améliorer la fluidité et réduire les risques d‘encombrements, une des solutions consiste à rendre les péages plus performants. L'objectif de cette thèse est d'améliorer la performance des systèmes d'identification de véhicules et de contribuer à la conception d'un système de classification des types de véhicules par ondes électromagnétiques pour application au télépéage. Ce système permet un paiement automatique sans arrêt des véhicules. La première partie de la thèse est consacrée à l'étude de deux systèmes d'identification de véhicules : RFID UHF et DSRC. Notre recherche s'est focalisée sur l'augmentation de la distance de communication ainsi que sur la réduction de la taille et du prix du système grâce à 5 nouvelles antennes à bas coûts, très directives et faciles à industrialiser. La deuxième partie est consacrée à l'étude d'un système de classification à distance des différents types de véhicules, basé sur les ondes diffusées par les véhicules. Il détecte la présence d'un véhicule et mesure la distance entre ce véhicule et le système avec une bonne précision. Ce système est basé sur la technique de radar Ultra-Large-Bande. Le signal émis est une impulsion monocyle de très courte durée. Dans cette partie, nous proposons et testons trois méthodes de classification de véhicules dans un environnement proche du milieu routier<br>The activities of passenger and goods transport are constantly increasing worldwide and especially in the European Union, including the edge of tolls. To improve the fluidity and reduce the risk of congestion, one of the solutions is automatic toll payments. The objective of this thesis is to enhance the performance of vehicle identification systems and to contribute to develop a design of a classification vehicles system by using electromagnetic waves for free-flow electronic toll collection system application. This system allows an automatic payment without stopping vehicles. The first part of this thesis deals with the study of two vehicle identification systems: UHF RFID and DSRC. Five new antennas were realized with the purpose to increase the communication range as well as to reduce the size and cost of the system. They are high gain and easy to be industrialized. The second part of this thesis is devoted to the study of a classification of different types of vehicles from the scattered waves captured by the system. Three methods of vehicle classification are proposed and tested in the road environment. Such system detects the presence of vehicle and measures the distance between vehicle and itself with a good accuracy. The principle of the system is based on Ultra-Wideband radar technology in which transmitting signal with a very short duration pulse is used
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Tchapnga, Takoudjou Rodrigue. "Méthodes de modélisation et d'optimisation par recherche à voisinages variables pour le problème de collecte et de livraison avec transbordement." Thesis, Bordeaux, 2014. http://www.theses.fr/2014BORD0052/document.

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La présente thèse se déroule dans le cadre du projet ANR PRODIGE et est axée sur la recherche de stratégies permettant l’optimisation du transport en général et du transport routier de marchandises en particulier. Le problème de transport support de cette étude est le problème de collecte et livraison avec transbordement. Ce problème généralise plusieurs problèmes de transports classiques. Le transbordement y est utilisé comme levier de flexibilité et d’optimisation. Pour analyser et résoudre ce problème, les analyses sont effectuées suivant trois axes : le premier axe concerne l’élaboration d’un modèle analytique plus précisément d’un modèle mathématique en variables mixtes. Ce modèle permet de fournir dessolutions optimales au décisionnaire du transport mais présente l’inconvénient de nécessiter un temps de résolution qui croit exponentiellement avec la taille du problème. Cette limitation est levée par le deuxième axe d’étude qui permet de résoudre le problème de transport étudié par une méthode d’optimisation approchée tout en garantissant des solutions satisfaisantes.La méthode utilisée est une métaheuristique inspirée de la recherche à voisinages variables (VNS). Dans le troisième axe, l’ensemble des résultats obtenus dans la thèse sont testés en situation de transports réels via le projet PRODIGE<br>The thesis is conducted under the ANR project PRODIGE and it is focused on seeking strategies allowing the optimization of transport in general and road freight transport in particular. The transportation problem support for this study is the pickup and delivery problem with transshipment.This problem generalizes several classical transportation problems.Transshipment is used as optimization and flexibility leverage. To study and solve this problem, analyzes are performed along three axes :the first objective concerns the development of an analytical model, more accurately a mathematical model with mixed variables. This model allows providing optimal solution to the decision maker, but has the disadvantage of requiring a time resolution that grows exponentially with the size of the problem. This limitation is overcome by the second line of the study that solves the transportation problem studied by an approximate optimization method while ensuring satisfactory solutions. The method used is a mataheuristic broadly followed the variables neighborhoods research principles. In the third objective, the overall results obtained in the thesis are tested in real transport situation via the PRODIGE project
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Griese, Marcelo George. "Análise de desempenho do LoRa em aplicação de fiscalização eletrônica de veículos com RFID." reponame:Repositório Institucional da UFABC, 2018.

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Orientador: Prof. Dr. João Henrique Kleinschmidt<br>Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Engenharia da Informação, Santo André, 2018.<br>Em 2006 o governo brasileiro instituiu o sistema nacional de identificação automática de veículos (SINIAV), cujo objetivo principal é fiscalizar todos os veículos através da tecnologia de identificação por rádio frequência (RFID). Entretanto, esse projeto tem um grande desafio tecnológico com relação a conectividade e transmissão de dados quando aplicado dentro das cidades, o que pode dificultar sua escalabilidade. Por isso, o objetivo dessa dissertação é estudar a viabilidade técnica do uso do LoRa para a transmissão dos dados provenientes da fiscalização eletrônica de veículos através de RFID. Então, uma análise de desempenho de um sistema composto por uma antena RFID, para realizar as leituras das tags, e um transmissor LoRa, para enviar essas leituras a um gateway conectado à internet, foi realizado e as métricas de taxa de perda de pacotes (PER) e taxa de envio de pacotes (throughput) da transmissão do LoRa foram medidas. Os resultados obtidos mostraram que em determinados cenários é possível obter uma taxa de perda de pacotes abaixo de 20% e uma taxa de envio de pacotes acima de 60 envios por minuto, o que torna o uso do LoRa uma tecnologia viável para essa aplicação de fiscalização e outras aplicações relacionadas à sistemas inteligentes de transporte (ITS).<br>In 2006, the Brazilian government instituted the national system of automatic vehicle identification (SINIAV), whose main objective is to control all vehicles through radio frequency identification (RFID) technology. However, this project has a great technological challenge regarding connectivity and data transmission when applied within cities, which may hinder its scalability. Therefore, the objective of this dissertation is to study the technical feasibility of the use of LoRa for the transmission of data from the electronic surveillance of vehicles through RFID. Then, a performance analysis of a system composed of an RFID antenna to perform the readings of the tags and a LoRa transmitter to send those readings to a gateway connected to the Internet was performed and the packet loss rate metrics (PER) and LoRa transmission throughput rates were measured. The results show that in certain scenarios it is possible to obtain a packet loss rate of less than 20% and a packet sending rate of more than 60 packets per minute, which makes the use of LoRa a viable technology for this enforcement application and other applications related to Intelligent Transport Systems (ITS).
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Hou, Jin-De, and 侯進德. "Design and Implementation of RFID Vehicle Registration." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/91805432689532443047.

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碩士<br>國立暨南國際大學<br>資訊管理學系<br>102<br>RFID has been widely applied in many industry sectors like logistics, manufacturing, retail, health care industry, transportation...etc. User can writeproduct information in RFID card’s Memory, and use it tosolve the data transfer and management issues. This paper leverages Mifare’s strong access control, milti-sector memory memory and secure authentication to design and implement vehicle registrationcard. In the design, one card can hold several driver’s license, adriver identity data,vehicle insurance...etcso that it greatly enhances user convenience and efficiency while ensures the security and data integrity.
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Liu, Yu-Ho, and 劉于豪. "Applying RFID Theory to Vehicle Management Design." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/47856903958791153538.

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碩士<br>大葉大學<br>電機工程學系<br>101<br>This thesis RFID theory and combine with database apply to the parking vehicle management system so to increase more convenient and more efficiently parking management and parking spaces available. System design starts by creating a database with Microsoft Office Access first and coding programs by Microsoft Visual Basic next, then link the reader finally. The car needs to install an electronic tag, and the reader can induce the electronic tag to do the car identification. The experiment show that the RFID theory apply to packing vehicle management is really work and improve management efficiency.
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Lin, Jian-Zhi, and 林健志. "A study of dual-mode RFID based vehicle-management system for vehicle rental." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/51108324104099785519.

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碩士<br>樹德科技大學<br>電腦與通訊系碩士班<br>100<br>In this thesis, a radio frequency identification technology (RFID) based vehicle-management system is proposed, the system utilized active and passive dual RFID modules combined with database. In this study, we design the management system for a vehicle rental company to monitor and manage the information of personnel and vehicles. The use of RFID induction and recognition can reduce the error rate and time that generated by the recognition task, and then the customer users and system managers can quickly get the correct personnel and vehicle management information through the proposed vehicle-management system.
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Wu, Yuan-Sheng, and 吳源勝. "The Application of RFID in the Air Force Vehicle Maintenance." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/82680436469614386168.

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WU, WEI-CHENG, and 吳偉誠. "A RFID-aided Positioning Microcontroller-based Auto Guided Vehicle System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/npmbh4.

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碩士<br>國立勤益科技大學<br>機械工程系<br>107<br>In this research, the RFID Auto Guided Vehicle System based on Arduino microcontroller is designed. Using RFID module to control the route of the AGV and monitor the action of the system, by integrating the AGV and the automatic conveyor module, the overall system is completed. The program of the control system is coded by Arduino IDE software. Technology of optical guidance is applied to the AGV guiding by using TCRT 5000 guiding sensor. About the RFID-aided positioning, the RFID Reader is installed under the AGV chassis, and tags were placed on the route of the AGV. When the AGV is driving, the RFID Reader can read signal of the tag and know the current location information of the AGV immediately. The wireless communication was implemented by the Bluetooth module, then sending correct location information to the monitoring module. The automatic conveyor module is responsible for controlling material, working with the AGV to transport material to the staging area.
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Book chapters on the topic "RFID Vehicle"

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Lu, Yang, and Miao Wang. "RFID Assisted Vehicle Navigation Based on VANETs." In Advances in Security, Networks, and Internet of Things. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-71017-0_39.

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Vishnevskiy, Vladimir, Andrey Larionov, and Roman Ivanov. "Analysis and Simulation of UHF RFID Vehicle Identification System." In Communications in Computer and Information Science. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-51917-3_4.

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Figueiredo, Rui, André Zúquete, and Tomás Oliveira e Silva. "Massively Parallel Identification of Privacy-Preserving Vehicle RFID Tags." In Radio Frequency Identification: Security and Privacy Issues. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13066-8_3.

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Song, Jinhua, Ching-Hsien Hsu, Mianxiong Dong, and Daqiang Zhang. "Vehicle Cardinality Estimation in VANETs by Using RFID Tag Estimator." In Internet of Vehicles - Safe and Intelligent Mobility. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27293-1_1.

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Feng, Anqi, Liping Qian, and Yupin Huang. "RFID Data-Driven Vehicle Speed Prediction Using Adaptive Kalman Filter." In Machine Learning and Intelligent Communications. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00557-3_5.

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Brandwein, Dennis, Dieter Uckelmann, and Björn Beenken. "Using RFID in License Plates and Vignettes for Electronic Vehicle Identification." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28816-6_15.

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Vasal, Apurv, Deepak Mishra, and Puneet Tandon. "Deployment of GSM and RFID Technologies for Public Vehicle Position Tracking System." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17878-8_20.

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Griese, Marcelo G., and João H. Kleinschmidt. "Performance Analysis of a System for Vehicle Identification Using LoRa and RFID." In Green, Pervasive, and Cloud Computing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19223-5_9.

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Gupta, Aditya, and Sharmila Nageswaran. "Automated RFID-Based Traffic Regulation and Vehicle Alert System for Emergency Conditions." In Advances in Automation, Signal Processing, Instrumentation, and Control. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8221-9_181.

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Wang, Lixing, W. H. Ip, and Jacky S. L. Ting. "Design of a Radio Frequency Identification (RFID)-Based Monitoring and Vehicle Management System." In Wireless Communications, Networking and Applications. Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2580-5_49.

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Conference papers on the topic "RFID Vehicle"

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Vishnevsky, Vladimir, Andrey Larionov, and Ivanov Roman. "Applying UHF RFID for Vehicle Identification: Protocol and propagation simulation." In 2017 IEEE International Conference on RFID (RFID). IEEE, 2017. http://dx.doi.org/10.1109/rfid.2017.7945590.

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Matsur, Igor Y., Aleksandr V. Polynkin, Iurii N. Adiakin, and Mikhail Molchanov. "On designing an underground induction antenna for vehicle identification." In 2017 IEEE International Conference on RFID Technology & Application (RFID-TA). IEEE, 2017. http://dx.doi.org/10.1109/rfid-ta.2017.8098897.

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Panganiban, Edward B., and Jennifer C. Dela Cruz. "RFID-based vehicle monitoring system." In 2017 IEEE 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM ). IEEE, 2017. http://dx.doi.org/10.1109/hnicem.2017.8269489.

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Zou, Zheng, Zhuwei Wang, Hao Xie, Biao Chen, Junda Zhu, and Fen Hou. "Indoor Vehicle Navigation by Cricket Location System with Position Estimation." In 2018 IEEE International Conference on RFID Technology & Application (RFID-TA). IEEE, 2018. http://dx.doi.org/10.1109/rfid-ta.2018.8552769.

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Blythe, P. "RFID for road tolling, road-use pricing and vehicle access control." In IEE Colloquium. RFID Technology. IEE, 1999. http://dx.doi.org/10.1049/ic:19990681.

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Al-Naima, Fawzi M., and Hassan Al-Any. "Vehicle Location System Based on RFID." In 2011 Developments in E-systems Engineering (DeSE). IEEE, 2011. http://dx.doi.org/10.1109/dese.2011.11.

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Jeevagan, Nayan, Pallavi Santosh, Rishabh Berlia, and Shubham Kandoi. "RFID based vehicle identification during collisions." In 2014 IEEE Global Humanitarian Technology Conference (GHTC). IEEE, 2014. http://dx.doi.org/10.1109/ghtc.2014.6970362.

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Unterhuber, Alexander R., Stoyan Iliev, and Erwin Biebl. "Interferences and Shadowing in Multi-Lane UHF RFID-Based Vehicle Identification Systems." In 2021 IEEE International Conference on RFID Technology and Applications (RFID-TA). IEEE, 2021. http://dx.doi.org/10.1109/rfid-ta53372.2021.9617393.

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Ching-Yen Chung, Aleksey Shepelev, Charlie Qiu, Chi-Cheng Chu, and Rajit Gadh. "Design of RFID mesh network for Electric Vehicle smart charging infrastructure." In 2013 IEEE International Conference on RFID-Technologies and Applications (RFID-TA 2013). IEEE, 2013. http://dx.doi.org/10.1109/rfid-ta.2013.6694512.

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Unterhuber, Alexander R., Stoyan Iliev, and Erwin Biebl. "Influence of the Vehicle Velocity on the Number of Reads in UHF RFID Scenarios." In 2019 IEEE International Conference on RFID Technology and Applications (RFID-TA). IEEE, 2019. http://dx.doi.org/10.1109/rfid-ta.2019.8892151.

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You might also be interested in the extended bibliographies on the topic 'RFID Vehicle' for particular source types:
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