Navigation based - Intelligent Parking Management System using Queuing theory and IOT

The development of devices that can connect to the Internet and transmit data has been a source of inspiration for smart city designs. in a metropolitan cities where the smart cities project are working in progress there are various approaches for making the cities smarter, one of the key features is smart parking, at a peak hour rush it is v difficult for driver to find a parking spaces with an increase and order of traffic, causing traffic congestion and result in wastage of fuel, energy etc. there are various work done,. With liberalization of economy number of vehicle on the road have increased leading to illegal, unorganized parking behavior in at public place, private building, educational campus, corporate campus. Thus, Our main objective is to avoid this unorganized parking system and so for this we can provide the intelligences to parking system which can solved the real time problem of organized and unorganized parking. In this study we have developed a smart parking proposal using queuing theory approach which can be model the parking system as a queue and the evaluation parameter like wait time for user in a queue or in a system can be estimated. Also by using IOT concept, by using wireless sensor node and infrared sensor to provide the real time status of parking lot for user on IOT and suggest the parking lot to avoid wait time in peak hour. The parking space closest to the current location can be found using multiple server single queue system and optimizing the existing system for better user experiences.