ParkMe: IoT Based Parking Availability Prediction in Neural Network

Author(s):

Shiraj Sayed , AAEMF's College of Engineering; Zaid Shirgaonkar, AAEMF's COE; Sujeet kumar, AAEMF's COE

Keywords:

Dalvik Virtual Machine (DVM); Google Wallet; International Mobile Station Equipment Identity (IMEI), Smart Parking System, Internet of Thing (IoT)

Abstract:

Movement stream, allotment and accessibility of parking spot inside of the avenues of Metropolitans urban areas are a noteworthy worry to each driver. The quantity of individual vehicles use is in-wrinkling complex. Individuals lean toward individual vehicles to drive than depend on open transportation. Finding a parking spot in most metropolitan regions, particularly amid the surge hours, is troublesome for drivers. Because of this there is a need to give adequate stopping places combined with a lot of openings to offer assistance the client stops his vehicle securely, likewise to guarantee the client does not wind up stopping on non-stopping region and cause distress to person on foot. The thought behind our Android Application-ParkMe is to offer the client some assistance with analysing zone's the place stopping is accessible and number of spaces free around there. Furthermore, four hours former to his normal entry, the client can pre-book an opening in the zone he wants in the event that it is accessible. This will decrease the heap on the chairman as his physical work decreases definitely and client can seek the stopping space through Android Application. Administrations are made accessible utilizing Google Wallet, so the client is required to claim a Visa or charge card. ParkMe Application diminishes the client from the bother of physically scanning and sitting tight for void openings to park the vehicle.

Other Details:

Manuscript Id	:	IJSTEV2I11262
Published in	:	Volume : 2, Issue : 11
Publication Date	:	01/06/2016
Page(s)	:	636-644

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