56,652 research outputs found

    Smart parking system for vehicles

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    © 2014 IEEE. There are various regions of applications for wireless sensor networks (WSNs). In this demonstration, we are using a WSN to build an efficient and smart parking system for vehicles. Our application will use light sensors to automatically determine the use of parking spaces in a parking area and calculate billable parking time while also providing a useful overview of occupied and free parking spaces to vehicle operators. Such a system can provide increased driver comfort and reduce costs in parking space operation by allowing drivers to easily decide on where to park, while the used components only generate low costs for the operator

    SMART CAR PARKING SYSTEM FOR VEHICLES

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    In day to day life theres massive drawback of parking of cars in metro cities attributable to lack of parking areas. So now a days we are constructing new system to solve this problem named as multilevel automatic parking system for vehicles Robotic automotive parking system. That the project work is to develop a automotive parking system that permits 6 to 26 cars inside an area of 32.17 sq.m with security of fingerprint ID for licensed entry solely. This model is very helpful for development in numerous areas like automation i.e. PLC micro-controllers and automation https://journalnx.co

    Design and Implementation of a Blockchain-Based Energy Trading Platform for Electric Vehicles in Smart Campus Parking Lots

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    This paper proposes a blockchain-based energy trading platform for electric vehicles in smart campus parking lots. Smart parking lots are smart places capable of supporting both parking and charging services for electric vehicles. The electric vehicle owner may want to charge energy at a low price and sell it during peak hours at a higher price. The proposed system architecture consists of two layers: the physical infrastructure layer and the cyber infrastructure layer. The physical infrastructure layer represents all of the physical components located in the campus distribution power system, such as electric vehicles charging stations, transformers, and electric feeders, while the cyber infrastructure layer supports the operation of the physical infrastructure layer and enables selling/buying energy among participants. Blockchain technology is a promising candidate to facilitate auditability and traceability of energy transactions among participants. A real case of a parking lot with a realistic parking pattern in a university campus is considered. The system consists of a university control center and various parking lot local controllers (PLLCs). The PLLC broadcasts the electricity demand and the grid price, and each electric vehicle owner decides whether to charge/discharge based on their benefits. The proposed system is implemented on Hyperledger Fabric. Participants, assets, transactions, and smart contracts are defined and discussed. Two scenarios are considered. The first scenario represents energy trading between electric vehicles as sellers and the PLLC as a buyer, while the second scenario involves energy trading between electric vehicles as buyers and the PLLC as a seller. The proposed platform provides profits for participants, as well as enables balancing for the university load demand locally. Document type: Articl

    Machine vision based smart parking system using Internet of Things

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    It is expected that in the next decade, majority of world population will be living in cities. Better public services and infrastructures in the city are needed to cope with the booming population. City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time parking information to drivers. Moreover, instead of the conventional approach that uses embedded sensors to detect vehicles in the parking area, camera image and machine vision technology are used to obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this project that involved motion tracking and Canny edge detection are programmed in Python 2 using OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible monitoring activity. An Android mobile application is designed for user to download real-time data of parking information. This paper introduces a low cost smart parking system with the overall detection accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency incidents and double parking blockage. The developed system can provide a platform for users to search for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in the urban area

    Sistem Smart Parking Terdistribusi dengan Menggunakan Mobile Cloud Computing

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    The availability of parking space for urban areas is very limited. Parking lots in office complexes and community centers are still not able to accommodate the number of motor vehicles that increase each year. According data from the Central Bureau of Statistics, the number of motor vehicles has reached 129.2 million units by 2016. This has not been supported by parking managers' ability to compensate for the growing number of vehicles using parking services. Some parking managers have been using the computer as a means of parking management support. The computer functions as an incoming data logging machine, a parking rate payment system and a security control of the document. On the other hand, information about the availability of parking lots is needed by parking service users. The data provided by the parking operator has not been able to provide information on the density of the parking lot in several parking locations in one area. From the problem, it is necessary to build a smart parking system that can provide information density of several parking locations. The data on the parking register engine can be processed into parking information on mobile cloud devices then provide the shortest route recommendations using the Dijkstra algorithm. With mobile computing technology, parking lava availability information will take place in real-time. Identification of capacity and density of each parking space is realized in the form of mobile cloud-based applications.Keywords : mobile computing, cloud computing, smart parking, Dijkstr

    INTERNET OF THING BASED CAR PARKING SYSTEM

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    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

    Intelligent imaging system for optimal night time driving

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    In the recent era, vehicles become a need of public. According to Statistic Portal, in year 2018 alone, more than 81 million vehicles were sold. This results in a large number of vehicles commuting on roads, thus increases the risks of road users. Road safety is the paramount and joint responsibility of all road users, which include pedestrians and travellers using different means of transport. Safety is always a main concern for drivers. It is a complex and difficult task even for an experienced senior driver. Road accident is the most unwanted thing to happen to a road user; it was reported that most of the road users are familiar with the general rules and safety measures when using roads, nonetheless their carelessness are causing the accidents and crashes. Zhang et.al [1] proposed an intelligent driver assist system for urban driving. This system provided smart navigation for its users with intelligent parking assistance to improve driving comfort while ensure the safety of the driver. The investigations of the system performance showed high precisions in the determination of the traffic flow and parking availabilit

    Development of an integrated web-based indoor parking system with sensors

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    Growing number of vehicles in recent years has an impact to road capacity and parking spaces. Even with support of an efficient public transport, some users prefer to use their personal vehicles. Hence, it resulted in lack of parking space in public areas. Looking for parking spaces is time, money and fuel consuming and causes unnecessary stress to drivers. This work will design and develop the sensing infrastructure which will be used as a part of an integrated smart parking system that integrates the sensing capability with wireless transmission to the central web portal. Then, the central web portal will provide a platform for vehicle parking reservation system made online through a computer. This system also permits drivers to make a reservation on available parking slots utilizing ID code keyed in for authentication and several indicators to denote availability, non-availability and reservation status at the parking slot. The communication technologies used has to upload and download information to and from the web. This work has shown that the development was successful for a single floor parking system and can be upgraded to multi-storey parking complex
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