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Smart parking system for commercial stretch in cities

Publication Type : Conference Paper

Publisher : 2017 International Conference on Communication and Signal Processing (ICCSP)

Source : 2017 International Conference on Communication and Signal Processing (ICCSP), IEEE, Chennai, India (2017)

Url : https://ieeexplore.ieee.org/document/8286588

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2017

Abstract : This paper introduces the concept of using smart technology in car parking services in particular commercial area in cities. People nowadays face problem while parking their vehicles in parking lots in a city. In order to overcome this, we have developed a Smart Parking System design which enables the user to find the nearest parking area and gives the availability of parking lots in that respective parking area. This design makes the traditional concept of parking system smarter by leveraging the power of IoT and embedding it with the latest innovation of electronic sensors & computers. It mainly focuses on reducing the time involved in finding parking lots and also on avoiding unnecessary travel through filled parking lots in a parking area. Many software applications and mobile apps have been proposed to provide a good parking experience to the users but there are many limitations like proper time usage in pre-booking through apps, traffic clearance, valet parking and allocation of slots near to the user required area. We have proposed a smart parking system for commercial stretch in cities (SPSCSC) which can be implemented using different database storage systems like Cloud, MySQL, Python wherein the vehicle is guided to the parking lot using the data, which is collected by sensors and image detectors, which is then processed and the necessary instructions are sent to the mobile of the user.

Cite this Research Publication : D. Kanteti, Srikar, D. V. S., and Dr. T. K. Ramesh, “Smart parking system for commercial stretch in cities”, in 2017 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2017.

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