Elsevier
Computers and Electrical Engineering
,  volume 88 ,  pages 106839

Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications

Publication type: Journal Article
Publication date: 2020-12-01
Elsevier
scimago Q1
wos Q1
SJR: 1.053
CiteScore: 10.7
Impact factor: 4.9
ISSN: 00457906, 18790755
Electrical and Electronic Engineering
Control and Systems Engineering
General Computer Science
Abstract
Reducing the travel time of an Emergency Vehicle (EV) is essential to increase the chance of casualty’s survival. An efficient vehicle routing solution can avoid instantaneous road blockages such as construction works, strikes, and accidents. This paper proposes an Internet of Things (IoT) network model for an EV routing using fuzzy logic-based data fusion technique. The data fusion process estimates the location-specific congestion by considering sensory data and human inputs from the crowd. Further, an open source routing engine (Open Source Routing Machine (OSRM)) computes the shortest congestion-aware route by responding to live traffic updates in a road network. Moreover, a sensor node has been designed for gathering the emissions and speeds of moving vehicles on the road. An Android application is developed to collect road blockage information from the crowd. Leveraging the Android application service, a driver in the EV is guided towards a medical center through the shortest congestion-aware route.
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GOST Copy
Rout R. et al. Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications // Computers and Electrical Engineering. 2020. Vol. 88. p. 106839.
GOST all authors (up to 50) Copy
Rout R., Vemireddy S., Raul S. K., Somayajulu D. V. L. N. Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications // Computers and Electrical Engineering. 2020. Vol. 88. p. 106839.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.1016/j.compeleceng.2020.106839
UR - https://doi.org/10.1016/j.compeleceng.2020.106839
TI - Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications
T2 - Computers and Electrical Engineering
AU - Rout, R.R.
AU - Vemireddy, Satish
AU - Raul, Sanjib Kumar
AU - Somayajulu, D. V. L. N.
PY - 2020
DA - 2020/12/01
PB - Elsevier
SP - 106839
VL - 88
SN - 0045-7906
SN - 1879-0755
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2020_Rout,
author = {R.R. Rout and Satish Vemireddy and Sanjib Kumar Raul and D. V. L. N. Somayajulu},
title = {Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications},
journal = {Computers and Electrical Engineering},
year = {2020},
volume = {88},
publisher = {Elsevier},
month = {dec},
url = {https://doi.org/10.1016/j.compeleceng.2020.106839},
pages = {106839},
doi = {10.1016/j.compeleceng.2020.106839}
}