Smart parking systems by using espresso lite 2.0

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 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.

In this work, we describe the implementation of a smart parking and mapping system, named Smart Park, for searching and booking parking spaces in uncovered parking areas. This system comprises of a mobile application which allows users to view and select available parking slots on an interactive map based on aerial imagery. The system can suggest parking spaces based on criteria such as vehicle dimensions, distance to destination and user preferences. QR technology has been used to allow users to check-into and out of the parking lot. Moreover, the application integrates a map guidance system to guide users to their designated parking spaces. The application features an administrator interface, with parking data represented in visual format, for analysis and strategic decision making. The features implemented are aimed at alleviating the difficulties in parking identification and allocation, thereby minimising congestion in and around parking lots.

In today's world, time is the most valuable asset and this paper focuses on developing a smart parking system for smart cities. Its main objective is to assist users to find a vacant location of car parking in a shorter time. The system displays occupied and vacant parking spots on LCD, making it convenient for the users to park. This parking system is based on sensors and cloud server integration. The working principle is divided into two phases. In the first phase, the ultrasonic sensor is used to detect vacant or occupied car parking space and display it on the screen using cloud technology. In the second phase, the improper parking of the car is detected by IR sensors. It alerts the driver with a buzzer if the car is not parked in the parking boundary. Moving further, some important features of this parking system are also discussed followed by, components required and their description. Towards the end of the paper, this parking system is compared with other alternative smart parking systems, the comparisons prove the correctness of our system over others.

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.

SummaryIn big cities, the drivers face a major problem in identifying an optimal vacant parking space for their vehicles as the number of vehicles has rapidly grown over the recent years. This objective of determining the available parking space results in wastage of time, air pollution, and traffic congestion. Smart parking systems facilitate the driver to book parking slots and attain real‐time parking information. However, the existing smart parking solutions necessitate the disclosure of sensitive information like desired destination from the vehicle drivers. Moreover, the current smart parking solutions are highly centralized, making them vulnerable for launching privacy breaches by service providers and resulting in the issues of single‐point failure. In this paper, ring signature and improved multi‐transaction mode consortium blockchain‐based private information retrieval (RS‐IMTMCB‐PIR) scheme is proposed for privacy preserving in smart parking system. This RS‐IMTMCB‐PIR scheme initially utilizes an improved multi‐transaction mode consortium blockchain constructed by different number of parking lot owners in order to achieve maximized parking offers based on the factor of availability, transparency, and security. It incorporates an improved private information retrieval approach for protecting the location privacy of drivers and secretly retrieving the offers of parking from the improved multi‐transaction mode consortium blockchain. It further utilizes the benefits of ring signature for permitting the drivers in a potential anonymous authentication process that aids in available parking slot reservation. The simulation results of this proposed RS‐IMTMCB‐PIR scheme portrayed a predominant performance in ensuring maximized degree of drivers' privacy with reduced computation and communication overheads.

In the field of transportation, one of the technological developments can be found in the parking service system. However, in the current parking service system, there are still several shortcomings, one of which is the absence of a parking system that can provide information to motorists regarding vacant parking locations. If the condition of the parking lot is congested, it will be difficult for customers to find an empty parking location and cause queues at the parking location. The purpose of this study is to design a system for calculating the availability of parking spaces that can make it easier for motorists to find an empty parking area so that the mobility of vehicles in the parking lot can be organized, efficient, and well organized. This smart parking system is designed using an Arduino microcontroller and uses an infrared sensor to detect the condition of the car in the parking lot. The information provided in the form of parking conditions will be displayed through the LCD and the LabView application so that the information can be known by the driver before entering the parking area. In addition, drivers can also find out the number of parking fees for their vehicles. Results of the simulation show that the prototype can work normally according to the design made.

In this study, an image-processing based smart parking system was developed for multi-storey parking garages. Car drivers spend a considerably long amount of time finding an available parking space where slots are spread throughout multiple storeys which causes longer queues and traffic congestion. The proposed system design through the Python IDLE and the OpenCV library makes use of the combined edge detection and coordinate bound pixel sections in determining whether a parking space in the acquired footage is occupied or not. For the testing of the accuracy and reliability of the parking space identification system, sample footages of actual indoor parking garages were used. With this study, real time image processing and updating of the parking slot availability offers an increased efficiency to the parking system and lower cost than installing individual car sensors in each parking space.

In the modern world with about a billion vehicles present around the globe, and being in a densely populated country like India creates the need for an efficient parking system and with world advancing towards automation, there is also a need for an automated parking system. Mainly the problem of parking arises in big cities and this causes problems like traffic congestion, driver frustration & air pollution, etc. The issue mainly arises from not knowing whether the parking spaces is available at any given point of time. Even if known, many vehicles may be competing for limited parking spaces causing severe traffic congestions. Even there are problems that can be caused with regards to the parking management. It may be difficult for the parking management to organise the parking of the vehicles in an orderly manner. Thus we are trying to resolve the problems stated by developing an RFID based smart parking system that monitors the availability of idle parking slots and guides the vehicle to the nearest such slot by sending a message to the mobile number registered in the vehicle’s RFID. The proposed system uses infrared transmitter-receiver pairs that remotely communicate the status of parking occupancy to the Arduino UNO microcontroller and displays the vacant slots on the display at the entrance of the parking so that the user gets to know the availability /unavailability of parking space prior to his/her entry into the parking place. Implementation involves minimal human interaction and provides a seamless parking experience thereby reducing a lot of time wasted by the user in parking his/her vehicle. Key Words: Parking System, RFID, Arduino UNO

The objectives of this research is to provide information about the Smart Parking Application Design for Parking Arrangement detection by counting the number of parking spaces which occupy the parking car entrance, the number of cars entered, the car left the parking lot and the number of cars outside the parking entrance. The research used descriptive method to collect information about the status of existing information by action method (action research). The type of data that exist in this research is primary data and secondary data. The data collection methods were field research, research libraries and prototype methods. Smart parking application works by sorting in advance the existing parking lot row based on the parking lot number. If there is available parking space, then the parking ticket will be given the number of empty parking area in the nearest sequence and reducing the common mistakes in the parking system. The entire Smart Parking system consists of a series of senders and receivers. The receiver circuit consisting of wireless data transceiver will capture the serial data from Arduino Uno which will be converted by converter to be processed by Personal Computer.

With the continuous acceleration of China’s modernization process, the number of private cars has increased sharply, and the traffic flow of various parking lots is increasing. The parking management of motor vehicles has become a problem of great concern to the society. In view of the shortage of parking spaces, the long time of manual fee collection, low efficiency and the inability to quickly find the reserved parking spaces in urban parking lots in China. At the same time, in large shopping malls, there is a common phenomenon that the parking range is single or the parking space is difficult to find, which makes the vehicles stay in the parking lot in a short time and cause congestion. For parking lot managers, it is difficult to timely regulate the parking lot through the existing traffic flow information of the parking lot, and it is impossible to determine the number of vacant parking spaces in the parking lot in real time. At the same time, The existing management system has problems such as low efficiency, poor scalability and less service content, which is difficult to solve in the face of emerging problems. Therefore, based on the above problems, this project designs an urban intelligent parking cloud platform based on wechat applet, which can distinguish users and administrators, select spare parking spaces, route navigation and time payment of parking fees for parking users, and the parking lot managers can understand the spare parking spaces and vehicle payment of the parking lot they manage, At the same time, it can detect the traffic flow through the traffic flow in a period of time and give early warning to prevent the accumulation of vehicles in the parking lot. Users and administrators can obtain more convenient and real-time information only through mobile phones, which solves the difficult problem of parking management in intelligent parking lot.

In the realm of smart cities, issues related to vehicle parking have increasingly contributed to traffic congestion, primarily due to drivers searching for vacant spots and the inefficient management by parking operators. Therefore, smart parking systems must continuously be enhanced with real-time models that can reflect the availability of parking spaces and improve the utilization of parking capacity, thereby addressing part of these challenges. This paper proposes a two-stage hybrid approach aimed at optimizing parking space reservations in smart parking systems. The model enables drivers to locate the most time-efficient parking spot within these systems. In the first stage, the parking space is evaluated within an environment defined by fixed capacity. In the second stage, the most suitable parking spot is made available through a hierarchical parking management system using a search-based method. The approach is grounded in Markov Chain modeling, which is employed to accurately estimate the number of vehicles requiring reservations. Underestimation of this figure results in insufficient demand adjustments, whereas overestimation leads to additional operational costs. Therefore, the proposed system uses Markov Chains for capacity forecasting and mathematical models to simulate the temporal movement of vehicles within the parking facility to determine the proportion of reserved versus regular parking spaces. This temporal analysis improves reservation predictions and yields an average occupancy rate of approximately 0.032, with 15 successful reservations recorded over a 24-hour period.

Over the last few years, finding vacant parking spaces has become a hassle for drivers especially in crowded cities. This problem leads to wasting drivers' time, traffic congestion, and air pollution. Recently, smart parking systems aim to address this problem by enabling drivers to have real-time parking information about vacant parking spaces. However, the existing parking systems rely on a central third party to organize the service, which makes them subject to a single point of failure and privacy breach concerns by both internal and external attackers. In this paper, we propose a secure smart parking system using blockchain technology. Specifically, a consortium blockchain is made of parking lots to ensure security, transparency, and availability of the parking system. Then, to protect the drivers' location privacy, we use cloaking technique to hide the drivers' locations. The blockchain validators return available parking offers with in the cloaked area. Finally, the driver selects the best offer and makes reservation directly with the parking lot. Evaluations are conducted to evaluate the proposed scheme, and results indicate practicality of our scheme.

With the rapid growth of the economy, the number of vehicle users has surged, leading to an increasing demand for parking spaces. The widespread use of smartphones has encouraged users to turn to mobile application-based solutions. The development of IoT technology has facilitated the integration of wireless connectivity, mobile devices, and mobile applications.. In order to provide a complete parking solution for both users and parking space owners, this paper suggests an smartphone application and a smart parking system powered by the Internet of Things (IoT).The application enables users to book parking spots, verify reservations, find the closest spot based on vehicle size, find the parking slot, and retrieve daily, weekly, and monthly account data. The availability and location of open parking spaces are communicated using Wi-Fi, microcontrollers, and infrared (IR) sensors.And technology for wireless communication to a server. A smartphone app is then used to retrieve this data. RFID tags affixed are employed to verify users who make hourly, daily, weekly, or monthly parking reservation reservations. Based on the size of the vehicle, a scheduling algorithm is used to determine the closest available space. The seamless user experience is the goal of the mobile app's design. The study also emphasizes the difficulties and inefficiencies brought about by conventional parking arrangements. The authors suggest an Internet of Things (IoT)-based smart parking system that makes it simple for users to find open spots in a certain location.

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.