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Faheem, S.A., Mahmud, G.M., Khan, M., Rahman and Zafar, H. (2013) A Survey of Intelligent Car Parking System. Elsevier, 11, 714-726.

has been cited by the following article:

  • TITLE: Intelligent Parking System

    AUTHORS: Abdul Ahad, Zishan Raza Khan, Syed Aqeel Ahmad

    KEYWORDS: Smart Parking System, Android App, Sensing Camera, M2M Services Innovation, Parking Zones

    JOURNAL NAME: World Journal of Engineering and Technology, Vol.4 No.2, April 29, 2016

    ABSTRACT: The searching of parking burns a lot of barrels of the world’s oil every day. Car parking problem is a major contributor in congestion of traffic and has been, still a major problem with increasing vehicle size in the luxurious segment and also confines parking spaces in urban cities. The rapid growth in the number of vehicles worldwide is intensifying the problem of the lack of parking space. As the global population continues to urbanize, without a well-planned, convenience-driven retreat from the car, these problems will worsen in many countries. The current unmanaged car parks and transportation facilities make it difficult to accommodate the increasing number of vehicles in a proper, convenient manner so it is necessary to have an efficient and smart parking system. Smart parking management systems are capable of providing extreme level of convenience to the drivers. In this paper, a proposed web App system, named “Park Easy” is based on the usage of smart phones, sensors monitoring techniques with a camera which is used as a sensor to take photos to show the occupancy of cars parks. By implementing this system, the utilization of parking spaces will increase. It allocates available parking space to a given driver to park their vehicle, renew the availability of the parking space when the car leaves and compute the charges due. Smart parking App, “Park Easy”, will also enable most important techniques to provide all the possible shortage route for parking from any area of the city mainly, it helps to predict accurately and sense spot/vehicle occupancy in real-time.