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IOT Based Smart Vehicle Parking System Using RFID
In the current decade, we are facing a parking problem with the advancement in technology. The population in urban cities is dense due to which lots of vehicles are running on the road leads to the parking problem, traffic problem. The world is facing the new challenge of Vehicle parking. It is observed that one million vehicles consume oil on daily basis. In this paper, an automatic real-time system for automated Vehicle parking is proposed. This system has been implemented with the help of the internet of things (IOTs). IOT generally exchanges information or data between the two physical devices. Arduino Uno is a microcontroller used in the proposed system. The main use of Arduino in the proposed system is to provide a platform to communicate digital devices and interactive objects that can sense and control physical devices. The proposed system has been implemented with the help of Arduino Uno board for vehicle parking and Node MCU to connect parking area with web or internet. The proposed system incorporated an infrared sensor in each slot for getting information about the vacancy position of the parking slot. The user book-parking slot well in advance, all the necessary information is available on the server. Every user has an exclusive username and password. In case any misuse happened then the system will alert the responsible person.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).15 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
