Predictive Inter and Intra Parking System
P.Ajitha1, A. Sivasangari2, K.Indira3
1P.Ajitha, Department of IT, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
2A.Sivasangari, Department of IT, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
3K.Indira, Department of IT, Sathyabama Institute of Science and Technology, Chennai (Tamil Nadu), India.
Manuscript received on 13 December 2018 | Revised Manuscript received on 22 December 2018 | Manuscript Published on 30 December 2018 | PP: 354-357| Volume-8 Issue-2S, December 2018 | Retrieval Number: 100.1/ijeat.B10721282S18/18©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Time has become a rare commodity and often takes the back seat in reality. Everyone in life need to park some time for their well being but there are trying times, where they spend their prime time for parking. In crowded cities in specific places like Mumbai, Delhi, Kolkata, Chennai and in other Asian cities this is magnified to many fold. Conventional technologies involved lot of Manual overhead and upcoming IOT based technologies are coming good on this aspect. Typical time spent on looking for parking space averages out to be 5.9 minutes, totaling to 90.5 hours in other words four days lost over the year. Anything done to improve on this front would make a huge difference to the human community.
Keywords: Sensor, Analytical Engine. Processor, Report Tool.
Scope of the Article: Predictive Analysis