Prototype of Parking Finder Application for Intelligent Parking System

Parking information system with artificial neural network

In view of the intelligent demand of modern large-scale parking lot and based on the enormous application advantages of fog computing on the Internet of things and the unique characteristics of NB-IoT technology, the design and application of NB-IoT technology which is based on fog computing in parking system model architecture is proposed, to promote parking systems to be more intelligent, increase efficiency, reduce expenses, and increase efficiency. The system model design adopts four-layer structure: Perception Layer, Network Layer, Cloud-Fog Platform Layer and User Layer, and uses the technical characteristics and advantages such as Fog Computing and NB-IoT to make data analysis, storage, calculation, exchange and communication in the system more integrated, fluent, and real-time. Meanwhile, the model is built into a low-latency, wide-coverage, highly intelligent parking system, and its research results provide totally new ideas and solutions to the drawbacks of the existing parking systems.

Parking management systems often need to improve due to outdated infrastructure, inefficient manual processes, and the lack of automation, resulting in increased congestion and poor user experience.Traditional parking management systems, reliant on manual license plate entry and outdated payment methods, need help to meet modern demands.In response, this research introduces a novel Intelligent Parking System (IPS) that leverages automatic License Plate Recognition (LPR) with a YOLO model for real-time detection and recognition of vehicle license plates.By eliminating the need for sensors and manual data entry, our system enhances accuracy, reduces maintenance costs, and optimizes parking operations.Furthermore, integrating QR code-based payment simplifies and accelerates the payment process, reducing wait times and improving user experience.This approach addresses the growing need for scalable and adaptable parking solutions in smart city initiatives.Through this research, the IPS provides a scalable, intelligent alternative to conventional parking systems, contributing to smarter urban environments.

With the development of urbanization, the number of car holdings is growing dramatically and the problem of parking difficulties is becoming more and more prominent. The irrational distribution of vehicles and parking measures in today's cities not only wastes limited road resources, but also brings great challenges to urban traffic management. Therefore, the demand for a smarter parking system is increasing to provide more convenient services and reduce the loss of human and material resources. The IoT-based intelligent parking system adds the functions of parking reservation and real-time detection to the original parking system, which realises the visualisation of parking information and makes it more obvious to see the real-time situation of the car park, thus making parking more convenient and quicker.

The Effectiveness of Internet and Mobile Applications in English Language Learning for Health Sciences’ Students in a University in the United Arab Emirates

This paper proposes a robust design of Hybrid Fuzzy Controller for speed and steering angle control in an Intelligent Autonomous Parking System (IAPS). The Hybrid Fuzzy Controller consists of a Base Fuzzy Controller (BFC) and a Supervisory Fuzzy Decision Tree Controller (SFDTC). The BFC evolves from previous work on fuzzy logic control for unmanned parking and it ensures that optimal parking trajectory is achieved with minimal computational cost. SFDTC further increases the system robustness when there is noise in the operating environment. The design of SFDTC combines Decision Tree theory and fuzzy inference mechanism. A data training process is also formulated to achieve better control performance. As a result, IAPS equipped with the new Hybrid Fuzzy Controller with Fuzzy Decision Tree (HFC-FDT) demonstrates optimal performance with faster convergence and minimal deviation from optimal parking trajectory. The detailed design of Supervisory Fuzzy Decision Tree Controller is presented in this paper with a MATLAB simulated experiment which concludes the superior performance of the new design.

Dynamic pricing and reservation for intelligent urban parking management

This chapter discusses the role of cloud computing and intelligent parking systems in sustainable smart cities, addressing challenges like traffic congestion, pollution, and resource inefficiency. These technologies enhance urban mobility, reduce environmental impact, and improve quality of life in cities facing rapid urbanization worldwide. This chapter offers a thorough analysis of the integration of cloud computing and intelligent parking systems in sustainable urban development, highlighting successful implementations and lessons learned. It also explores potential future developments and policy considerations to facilitate widespread adoption of these technologies, highlighting the importance of global best practices.

Nowadays the concept of smart cities has gained grate popularity. and thanks to the IoT of things technology for the concept and the idea of smart city in this paper, we present an IoT based smart parking system. A Smart parking system that helps drivers to find vacant spot. Driver Problems such as limited car parking, traffic problems and road safety are being addressed by IoT. In this paper, I present an IoT based smart parking system. The Smart car Parking system will help user to solve the problem for finding a parking space and to reduce the time that they have spent in searching for the nearest available car parking. A mobile application is also provided that allows an end user to check the availability of parking space and book a parking slot according to their time convenience.

Ø With the ever-growing urbanization and the increasing number of vehicles on the road, efficient management of parking spaces has become a critical challenge in modern cities. In this project, we propose a smart car parking system based on Arduino micro controllers to address this issue. The system utilizes ultrasonic sensors to detect the presence of vehicles in parking spaces and employs RFID technology for vehicle identification. Ø The smart parking system offers several innovative features to enhance user experience and optimize parking space utilization. Users can conveniently locate available parking spaces through a mobile application or digital displays placed at strategic locations. The system also integrates with existing payment systems, allowing for seamless payment transactions and automated access control. Ø One of the key advantages of the proposed system is its scalability and flexibility. It can be easily deployed in various parking environments, including on-street parking, parking garages, and commercial parking lots. Furthermore, the use of open-source Arduino platforms ensures affordability and accessibility, making it suitable for implementation in both developed and developing regions. Ø In addition to improving parking efficiency and reducing traffic congestion, the smart parking system contributes to sustainability efforts by minimizing carbon emissions associated with vehicle circulation in search of parking spaces. It also provides valuable data insights for urban planners and policymakers to optimize parking policies and infrastructure planning. Ø Through this project, we demonstrate the feasibility and effectiveness of using Arduino-based technology to develop innovative solutions for urban parking management. The smart car parking system presented here serves as a practical demonstration of how IoT and embedded systems can contribute to creating smarter and more sustainable cities.

The Parking System is a digital platform designed to make car service centers work more smoothly and to give customers a better experience. Many service centers still rely on manual processes, which often lead to problems such as long booking times, poor scheduling, confusion in managing spare parts, and missing service records. This system solves these issues by providing useful tools for both customers and managers. For customers, it offers a simple online portal where they can quickly book appointments, check the full history of their vehicle’s services, and make secure online payments. This saves time, reduces hassle, and helps them keep track of their vehicle’s maintenance. For managers and staff, the Parking System provides an easy-to-use admin panel that brings all important tasks into one place. With this panel, managers can plan staff schedules, keep track of available services, monitor inventory, and manage customer bookings in an organized way. By reducing manual work, the system makes day-to-day operations faster, more accurate, and more efficient. The platform is built using modern technologies to ensure it is fast, reliable, and safe to use. The frontend is created with Next.js, giving users a smooth and responsive experience, while the backend is built with NestJS (Node.js) to handle tasks quickly and flexibly. Information is stored securely in PostgreSQL using Prisma, and trusted payment gateways are included to keep financial transactions safe. Overall, the Parking System improves customer satisfaction and helps service centers run more efficiently by saving time, reducing errors, and simplifying the management of services. It represents a step toward digital transformation in the automotive service industry, offering a smarter and more convenient way for people to access and manage vehicle services.

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

nowadays, vehicles have become a very significant role in transport which remain a major problem in most cities around the world, especially in developing regions resulting in massive delays, turn traffic congestion, increased fuel wastage and monetary losses. There are many alternative systems, but one possible solution to this problem is parking system has become the sparking factors of the mentioned problems above. In this paper, we present various techniques as far as the smart parking system is mainly debated which are already implemented. When we are deepening into this parking issue, many contributors contributed a lot in monitoring smart parking system (SPS) and management of SPS with an asset of various gadgets and technologies including Bluetooth, Cameras, Image Processing, wireless sensors, ZigBeee accompanied by software explanations based on mobile application. Following this analysis will enhance researcher's thought on SPS which will result in a real solution of the technique.

Today the use of Internet of Things (IoT) applications increasing rapidly to use automation in the areas including home, hospital, office, and others. In the future, the people expected to use IoT applications in the year 2025 by 11 trillion dollars business worth with use. The problem is to develop an Intelligent IoT system application based on user specifications, and the demand for application with the use of elements, models, and providing services. The objective of the paper is to explore IoT elements, framework-architecture, analysis, and monitoring, and case study applications, such as, Heath care System, Pilotless plane, Smart lighting, Home IDS, Smart Parking, Smart Irrigation, and Intelligent Transport System applications. Finally, effective utilization of elements, protocols, components, and sensors networks, AI applications, and Machine learning applications predict the future patterns based on present and past data of applications. The conclusion of the proposed model improves the quality of the IoT system.

The Internet of Things (IoT), a solely original computer paradigm, first appeared years ago. Its significance is demonstrated by the way it links the physical and digital worlds to achieve a significant benefit. The IoT is a network of internet-connected devices that enables widespread connections and interactions with other embedded devices, services, and people. With the growing need for smart services in smart cities, this paper focuses on the development of intelligent vehicular management systems in these cities. Here, the devices used in IoT have embedded systems that take the data from the environment. The data is transferred through a wireless network and a gateway to a carrier network. All the data will be stored at Application Enablement Platforms (AEP) which seem like web servers. The data is analyzed through big data analytics platforms. Finally, the devices and gateway remote management platforms distribute the new versions and upgrades to all devices. The primary parameters for determining road conditions include traffic flow rates, air quality, meteorological characteristics, and signal status as indicated by the received signal intensity for both road and intra-vehicular settings. Bluetooth Low Energy (BLE) beacons and mobile applications are employed for smart parking and navigation system, public transportation system, traffic size monitoring, and health-related issues for passengers.