A study of remotely booking slot for vehicle using Internet of Things

Internet Of Things (IoT) is a continually growing area which aids us to unite diverse objects. The proposed system exhibits the universal notion of utilizing cloud-based intellectual automotive car parking facilities in smart cities as a notable implementation of the IoT. Such services demonstrate to be a noteworthy part of the IoT and thus serving users in no small amount due to its pure commerce positioned qualities. Electromagnetic fields are being used by RFID to detect and track tags ascribed to objects automatically. The RFID technology is used in this system along with suitable IoT protocols to evade human interference, which reduces the cost. Information is bartered using readers and tags. RFID and IoT technologies are mainly used to automate the guide systems and make them strong and more accurate. Open Service Gateways can be effectively used for this module. This system established on the consequence of IoT and the purposes are solving the chaos, bewilderment, and extensive backlogs in parking spaces like malls and business parks that are customary as a consequence of the increased use of automobiles. The proposed work aims to solve these problems and offer car drivers a hassle-free and instantaneous car parking experience. While a number of nodes are positioned depends on topographical restrictions, positioning of prominent anchor sensor nodes in the smart parking is a primary factor against which the efficiency and cost of the parking system hang. A Raspberry Pi would act as a mini-computer in our system. A suitable smallest path methodology would be cast-off to obtain the shortest distance between the user and every car park in the system. Hence, the pausing time of the user is decreased. This work furthermore includes the practice of remotely booking of a slot with the collaboration of android application exercising smartphones for the communication between the Smart Parking system and the user

INTERNET OF THING BASED CAR PARKING SYSTEM

In the current era, we are facing a new problem of parking of vehicles. It is a major problem in urban cities. The problem is more tough because of continues growing number of vehicle and also size of vehicles. Car parking is not just a major problem in India but also in all over the world. We know that one million vehicles burn oil every day. In this paper, we propose an automatic and real-time system for automated car parking. This system would be implemented by the use of internet of things (IOTs). IOT refers as any physical thing that is connected to internet or exchanging information or data between internet and physical device. Arduino Uno is a microcontroller used in IOT. It is used for building digital devices, and interactive objects that can sense and control physical devices. Our smart parking will be implementing using Arduino Uno board for car parking and Ethernet shield to connect parking area with web or internet. By using our automated parking system, a user can save much time for searching free parking space. An infrared sensor has to be employed in each slot to check that a particular plot is vacant or not. Searching smart parking system helps people to search parking space accessible with the ease of IOT automation by supplying parking slot free information. The user can book in advance the parking slot and update the information to the server. Every user has a unique id and password. In case a car in stolen and enter the parking IOT the server checks the database and inform the police.Â

Parking Management System: A Review

In today?s transport related concerns, vehicle parking has become a major issue in urban areas. Lack of parking facilities and increased amount of vehicles, due to this, drivers who are searching for parking space keep roaming around the city in peak hours. This causes traffic, waste of time and money. To solve these problems, a Smart Parking Management System can be designed. Earlier many efforts were done on it, to reduce these problems, such as by presenting drivers with real-time description about vacancy of parking slots through the mobile application. To sense car and analyse the count of vacant slots, Ultrasonic sensors and Raspberry pi were castoff at the entrance of parking areas. Also there was an effort to activate an idea which uses the video surveillance camera for tracking those vacant locations, also Matrix Laboratory(MATLAB) to practice the computer vision techniques like background deletion and addition for the update of vacancy and occupancy of spots. Sensor circuits were also designed, which includes Radio Frequency Identification(RFID) tag, a mode of digital payment and a different theft management feature. A smart parking system was also designed which was grounded on the amalgamation of the technologies of Ultra High Frequency(UHF), RFID and Wireless Sensor Network, for the same purpose desired. A parking system was also developed for motorcycles as those are the majority mode of transportation in Taiwan, which includes management system that was based on the wide concept of RFID system, Visual Basic (VB) language and My Structured Query Language(MySQL) system. Likewise, a model came up with the concept of Internet of Things(IoT) and theft management facility, a sensor circuit and RFID tag. It could be accessed and monitored remotely through the application

Advance Parking Management System.

By looking towards scenario of today’s market and business; and approaches of peoples towards their standards ,to deal with the ever growing problem of parking management with issues like lack of space for parking, wastage of time to find parking space this paper proposes an advance solution for managing and monitoring free parking space and automated parking of the car. It aims at implementing smarter and better parking guidance mechanism with architecture which will settle within less land space and reduces significantly vehicle travel time and parking time

From Smart Parking Towards Autonomous Valet Parking: A Survey, Challenges and Future Works

Recently, we see an increasing number of vehicles coming into our lives, which makes finding car parks a difficult task. To overcome this challenge, efficient and advanced parking techniques are required, such as finding the proper parking slot, increasing users’ experience, dynamic path planning and congestion avoidance. To this end, this survey provides a detailed overview starting from Smart Parking (SP) towards the emerging Autonomous Valet Parking (AVP) techniques. Specially, the SP includes digitally enhanced parking, smart routing, high density parking and vacant slot detection solutions. Moreover, the AVP involves Short-range Autonomous Valet Parking (SAVP) and Long-range Autonomous Valet Parking (LAVP). Finally, open issues and future work are provided

Survey of smart parking systems

The large number of vehicles constantly seeking access to congested areas in cities means that finding a public parking place is often difficult and causes problems for drivers and citizens alike. In this context, strategies that guide vehicles from one point to another, looking for the most optimal path, are needed. Most contributions in the literature are routing strategies that take into account different criteria to select the optimal route required to find a parking space. This paper aims to identify the types of smart parking systems (SPS) that are available today, as well as investigate the kinds of vehicle detection techniques (VDT) they have and the algorithms or other methods they employ, in order to analyze where the development of these systems is at today. To do this, a survey of 274 publications from January 2012 to December 2019 was conducted. The survey considered four principal features: SPS types reported in the literature, the kinds of VDT used in these SPS, the algorithms or methods they implement, and the stage of development at which they are. Based on a search and extraction of results methodology, this work was able to effectively obtain the current state of the research area. In addition, the exhaustive study of the studies analyzed allowed for a discussion to be established concerning the main difficulties, as well as the gaps and open problems detected for the SPS. The results shown in this study may provide a base for future research on the subject.Fil: Diaz Ogás, Mathias Gabriel. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Fabregat Gesa, Ramon. Universidad de Girona; EspañaFil: Aciar, Silvana Vanesa. Universidad Nacional de San Juan. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentin

Reserved Parking Validation

A common situation that we can testify every day: fossil fuel cars occupying electric cars charge only places, and handy capped reserved places, occupied with cars without the proper authorization. This is something that plagues our society, where the values and moral are forgotten, and our duties and rights are lost in the day-to-day life. There are more and more cars moving, every day, to the city center, where the lack of available parking, together with the lack of proper public transportation creates a chaotic situation. Also, the large proliferation of electric cars, that is not accompanied by a proportional availability of electric chargers, raises issues, where these cars’ drivers are not allowed to charge their vehicles, most of the times, because they are being used as abusive parking. This dissertation has the goal to identify and propose a universal solution, with low implementation and maintenance costs, that allows a fast and unambiguous validation of authorization of a user, for parking in a reserved parking space

Proficient car parking system based on cluster head routing protocol utilizing IEEE 802.15.4

The paper discusses a proposed model for car parking system based on cluster head routing protocol utilizing a low cost and power efficient communication technology, ZigBee (IEEE 802.15.4). The model is designed in a way that car parking is divided into different clusters and each cluster has a head which acts a messenger for transmitting information to other heads and the coordinator of the network. Each cluster head is a ZigBee Host (Router) which collects the information of car presence in the parking slot. This information is then passed to the coordinator of the network which is used to display the information of available parking slots in a specific car parking area. Since there is only one coordinator in the network, so heads can transmit information to the coordinator using multi-hop communication if direct communication is not possible. Several simulations were performed to gauge the efficiency of the proposed model, and results show that the proposed model is reliable in communication and efficient in its operation

Multi objective optimization in charge management of micro grid based multistory carpark

Distributed power supply with the use of renewable energy sources and intelligent energy flow management has undoubtedly become one of the pressing trends in modern power engineering, which also inspired researchers from other fields to contribute to the topic. There are several kinds of micro grid platforms, each facing its own challenges and thus making the problem purely multi objective. In this paper, an evolutionary driven algorithm is applied and evaluated on a real platform represented by a private multistory carpark equipped with photovoltaic solar panels and several battery packs. The algorithm works as a core of an adaptive charge management system based on predicted conditions represented by estimated electric load and production in the future hours. The outcome of the paper is a comparison of the optimized and unoptimized charge management on three different battery setups proving that optimization may often outperform a battery setup with larger capacity in several criteria.Web of Science117art. no. 179