Scada for Prototype of Multi Area Parking System Based on PLC M221

Finding free slots in the parking area has become a major problem that the modern society is facing nowadays, which also leads to traffic overcrowding at the parking area. As the number of vehicles are increasing at a quick pace find parking slots has become difficult. The proposed paper helps to solve the parking problem. In traditional parking system a person has to find vacant slot or a gate keeper needs to inform about the available parking slot at parking area. To address the issue, a system where the user will be able to know the number of vacant slots in a particular parking area along with total number of slots at the entrance of the parking area. As a critical component of this project, by built a car parking slot detection system which collects data from a camera at parking area. Today's most popular object detection model YOLO, is trained to achieve desired results with good precision scores at real-time speed. The model will be getting all the parking slots that are present in the parking area, to which marking boxes are drawn around for training. Real time processing is performed on the obtained data by the model to find whether the slot is vacant or occupied. Thus, it gives the information of available vacant slots to park the car at parking area. Key Words: YOLO, Object detection, Computer vision, Machine learning.

Recently, due to the development of automobile industry, the number of vehicles is increasing. The traditional parking lots are unable to meet the growing demands from so many vehicles. Therefore, the current parking lots present many problems. Such as, can't find parking spaces quickly, difficult to manage too many vehicles and manual toll collection costs much time. To solve those problems above, this paper designs a new parking lot system which is based on ZigBee technology and Support Vector Machine (SVM). By the designed parking system, the parking issues can be solved more efficiently and intelligently.

In recent years, with the rapid development of China’s automobile industry, the number of vehicles in China has been increasing steadily. Vehicles represent a convenient mode of travel, but the growth rate of the number of urban motor vehicles far exceeds the construction rate of parking facilities. The continuous improvement of parking allocation methods has always been key for ensuring sustainable city management. Thus, developing an efficient and dynamic parking distribution algorithm will be an important breakthrough to alleviate the urban parking shortage problem. However, the existing parking distribution models do not adequately consider the influence of real-time changes in parking demand and supply on parking space assignment. Therefore, this study proposed a method for dynamic parking allocation using parking demand predictions and a predictive control method. A neural-network-based dynamic parking distribution model was developed considering seven influencing factors: driving duration, walking distance, parking fee, traffic congestion, possibility of finding a parking space in the target parking lot and adjacent parking lot, and parking satisfaction degree. Considering whether the parking spaces in the targeted parking lots are shared or not, two allocation modes—sharing mode and non-sharing mode—were proposed and embedded into the model. At the experimental stage, a simulation case and a real-time case were performed to evaluate the developed models. The experimental results show that the dynamic parking distribution model based on neural networks can not only allocate parking spaces in real time but also improve the utilisation rate of different types of parking spaces. The performance score of the dynamic parking distribution model for a time interval of 2–20 min was maintained above 80%. In addition, the distribution performance of the sharing mode was better than that of the non-sharing mode and contributed to a better overall effectiveness. This model can effectively improve the utilisation rate of resources and the uniformity of distribution and can reduce the failure rate of parking; thus, it significantly contributes to more smart and sustainable urban parking management.

India is the sixth largest economy in the world. With the rise in its population, urbanization has become a global phenomenon. Due to this, there has been a rapid increase in the number of vehicles on the road. However, modern infrastructure is failing to provide secure and efficient parking system for these increased vehicles. The problems arise because of the limited parking spaces. The increasing vehicles on the road along with the improper management of the available parking space lead to the parking-related problems as well as an increased traffic jam in the urban areas. Thus, it is highly necessary to develop a smart parking system. This paper involves a parking system that works on automatic number plate recognition (ANPR) algorithm using optical character recognition (OCR). The system consists of a camera at the entrance of the parking gate, which will be used for number plate recognition using digital image processing, and then a parking slot will be allocated depending on the status of the vehicle. Also at the exit, the vehicle number is identified and the information is updated to the cloud using Internet of things (IoT) where it can be monitored. The availability of the parking slots can also be viewed on the mobile through the android app created for ease of public usage. This paper makes excellent use of all the available resources in order to create an efficient solution for the existing situation.

Due to rapid growth in urban population and advances in the automotive industry, the number of vehicles is increasing exponentially, posing the parking challenges. Automated parking systems provide efficient and optimal parking solution so that the drivers can have hassle free and quick parking. One of the demanding requirements is the design of smart parking systems, not only for comfort but also of economic interest. With the advancements in the Internet of Things (IoT), wireless sensors-based parking systems are the promising solutions for the deployment. Optimal positioning of IoT enabled wireless sensor nodes in the parking area is a crucial factor for the efficient parking model with the lower cost. In this paper, we propose a novel multi-objective grey wolf optimization technique for node localization with an objective to minimize a localization error. Two objective functions are considered for distance and geometric topology constraints. The proposed algorithm is compared with other node localization algorithms. Our algorithm outperforms the existing algorithms. The result shows that localization error is reduced up to 17% in comparison with the other algorithms. The proposed algorithm is computationally efficient due to the choice of fast converging parameters.

This paper explains the architecture and design of Arduino based car parking system. Authorization of driver or user is the basic rule used to park a vehicle in a parking place. Authorization card will be given to each user, which carries the vehicle number or other details. If the user is authorized and space is available in the parking, then the parking gate will open and the user is allowed to park the vehicle in parking place else the user is not allowed even the user is authorized person. If car is allowed to park, then mobile notification will be send to user about parking. It solves the parking issue in urban areas, also provides security to a vehicle and an unauthorized user is not allowed to enter into a parking place. It helps to park vehicle in multifloored parking also as it will display which floor has free space.

Find a parking place now days is an emerging problem. In this paper, we have put. forward an intelligent and automated car parking system with a plan o.f space utilization. This method can make the parking process fast and frustration free for drivers. An graphical animation o.f intelligent car parking is made using cinema 4D which will befurther use in training and implementing in real word Car Parking. Xpreeso Editor is used to control via riging the car and parking system. We are also proposing Algorithms for effective space allocation in car parking using Visual graphics support via animated guided path demonstration.

Proposal and Application of Parking Area Performance Measurement Methodology

Parking information system with artificial neural network

Increased use of cars that are not balanced with the provision of adequate parking areas and many drivers who park in any place. The existing parking system only utilizes the parking area and the parking attendant who controls it. Motorists also have to find a place that is free of parking officers or drivers do not pay attention to the parking area, the vehicle owner will look for must get out if you do not get a parking space. To overcome this, make a parking system by using a microcontroller system that facilitates vehicle users to understand the number and arrange an empty parking space. The design of this parking system discusses the available parking system which will be notified via LCD (Liquid Crystal Display) and LED (Light Emitting Diode) at the entrance of the parking lot, and also so that it can be used for the total vehicles in the parking lot with LED indicators ( Light Emitting Diode). This design uses the Arduino Nano as a processor to process data. The servo that translates the bar will be driven. When the parking lot is full, the LCD (Liquid Crystal Display) gives information that there is no vacant land, so the parking user goes up to the next floor. From the Arduino test results, Nano can adjust the circuit well, and Ultrasonic sensors can connect vehicles in each parking area, and the servo bars can be opened and closed again.

Car parking is one of the most significant issues in today's world. Parking cars on surrounding roads and pathways can cause unfair traffic jams and thus hampers people's daily activity. To avoid these problems, the development of a smart car parking system is a major concern for several developed countries. At present, most of the previous studies on car parking systems suffer from several limitations such as lack of security, wastage of time, huge money expenses, and lack of user interest-aware car parking system. To overcome existing challenges, this paper presents a user interest and payment-aware automated car parking system using Internet-of-things (IoT) technology. In this paper, an android application for smart car parking is developed for Bangladeshi people that allow users to choose emergency or non-emergency parking slots based on their interest and payment verification. For anti-theft purposes, this system offers an early alert and notification feature. The experimental test results by investigating several use cases depict the suitability of the proposed system.

Model free Reinforcement Learning to determine pricing policy for car parking lots

Advances in technology today require humans to increase their effectiveness and efficiency in various ways. Basically the purpose of creating a tool is to help human work to be more effective and efficient. Thus, humans are expected to function in a relatively short time, especially when it comes to safety. The parking lot is a medium that is used as a way of getting in and out of vehicles. Anticipating some problems in the parking lot, for example: losing parking papers, losing cars in parking lots, and preventing illegal parking at high levels. Then we need an automatic parking door system. This final project aims to build a prototype of an IoT-based automated parking system.
 This project is a simple parking simulator with a microcontroller device programmed to use the Arduino idea. Hardware integrated with mysql database and run by simple web. The automated parking system is designed using nodemcu lolin, expansion board, 16x2 + i2c LCD adapter, mini mp3 dfplayer, 0.5 watt ohm earbuds, infrared sensor, rfid rc522 and SG90 servo motor. Infrared sensor detects vehicle, rfid receives input by tapping card and then gives output to i2c and web. Furthermore, the output from the LCD goes to the service motor which opens and closes the parking door, and the dfmp3 player, as well as the speaker which makes a sound when the card is tapped. This prototype automatic parking system can provide access and close automatic parking doors which saves time and effort. It can be concluded that the prototype of this IoT automatic parking system can be used as a guide for the development of a better technology.

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.

Statistics from the Central Statistical Office (CSO) state that the total number of motor vehicles and mopeds in Poland in 2019 was 31,989,313 units. According to the Central Register of Vehicles (CEPiK) maintained by the Ministry of Digitalisation, the number of motor vehicles registered in Poland in 2019 was 23,878.8 thousand units. Among them, 18,302.4 thousand passenger cars were registered. The constantly increasing number of vehicles on the road has a significant impact on the deterioration of road capacity and drivers’ frustration with parking, especially during rush hours in the centres of large cities. Hence, urban logistics, including the country’s parking policy, is extremely important to a significant proportion of citizens. Unfortunately, citizens have different perspectives on parking issues. Most drivers expect to be able to leave their car as close as possible to their destination, while some residents, especially non-motorised ones, are against the conversion of free city space into car parks. In response to the presented issues, a comparative analysis of selected types of car parks was carried out. This analysis was one of the stages of the project entitled: “Analysis of the environmental impact of a vertical parking solution using life cycle assessment at the design stage” carried out at the Silesian University of Technology.