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IoT Based Automatic Seat Vacancy Detection in Travel Buses using Cloud Database
M. Venkatesh1, R. Rashia Suba Shree2

1Dr. M. Venkatesh*, Assistant Professor, Department of Computer Science, St. Xavier’s College (Autonomous), Palayamkottai, Tiruneveli, (Tamil Nadu), India.
2Ms. R. Rashia SubaShree, Junior Analyst, G-VEN Group, Palayamkottai, Tiruneveli, (Tamil Nadu), India.

Manuscript received on June 2, 2021. | Revised Manuscript received on June 6, 2021. | Manuscript published on June 30, 2021. | PP: 28-32 | Volume-10, Issue-8, June 2021 | Retrieval Number: 100.1/ijitee.H91630610821 | DOI: 10.35940/ijitee.H9163.0610821
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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: The world has improving with lot of people utilities for living case. In this development technologies make the purpose of surviving easier. Internet of things is the inter-connecting technology used to pass the data to the required people via physical devices which are embedded with the software’s, sensors, electronics etc. IoT lift up smart cities, transportation, industries with new innovations for the development. The proposed system is done in transport sector to effectively manage the vacant seats particularly on travel buses. The vacant seats may happen due to last minute cancellation, the passengers who missed bus, or the passengers who doesn’t cancel their ticket even after they decide not to travel. In present situation, the seat allocation for the travelers is mostly done through online but when it comes to the vacant seats, the ticket checker has to allocate it manually. The system purpose is to verify whether all booked seats are occupied or not using sensors, and it automatically sends the signal to centralized server and make enable that particular seat for fresh booking. So that, the passengers who planned for travel by last minute can able to book ticket through online from the upcoming boarding stations. 
Keywords: Seat vacancies, IoT Technology, IR sensors, Node MCU ESP8266, Vehicle seats.