Title: Smart scheduling on cloud for traffic signal to emergency vehicle using IoT

Authors: J. Mannar Mannan; J. Karthick Myilvahanan; R. Mohemmed Yousuf; K. Sindhanai Selvan; T. Parameswaran

Addresses: Department of Information Science and Engineering, CMR Institute of Technology, Bengaluru, India ' Department of Information Science and Engineering, MVJ College of Engineering, Bangalore, India ' Department of Information Science and Engineering, MVJ College of Engineering, Bangalore, India ' Department of Information Science and Engineering, MVJ College of Engineering, Bangalore, India ' Department of Computer Science and Engineering, Swarnandhra College of Engineering and Technology, Andhra Pradesh, India

Abstract: Semi-automated non-adaptive traffic control system is not sufficient to handle emergency vehicles transportation in larger cities. Internet of things (IoT) based adaptive traffic signal control system can be used by GPS enabled ambulance position indicator to get control of traffic signal dynamically based on the ambulance location and traffic density. RFID sensors from closer to traffic signal have been used to measure the distance of the vehicles' queue over predetermined ambulance path. The signal on the predetermined ambulance path have turned 'green' dynamically by the ambulance vehicle via IoT controlled traffic signal, based on the location of the ambulance received from the GPS. This dynamic scheduling on traffic signal for bypassing ambulance vehicle is accurately measured and switching the traffic signal timing from fixed time into variable time until the vehicle bypasses the signal. The simulation result ensures performance and accuracy compared with the other existing methods.

Keywords: internet of things; IoT; internet; emergency transport system; smart city; RFID; GPS; automation.

DOI: 10.1504/IJCC.2021.119191

International Journal of Cloud Computing, 2021 Vol.10 No.4, pp.356 - 369

Received: 24 Jul 2019
Accepted: 23 Dec 2019

Published online: 25 Nov 2021 *

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