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A Rule based Fuzzy controlled Decision Support System for Intelligent Traffic Control System

Monika Varshney1 , Azad Kumar Srivastava2 , Alok Aggarwal3

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 560-564, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.560564

Online published on Nov 30, 2018

Copyright © Monika Varshney, Azad Kumar Srivastava, Alok Aggarwal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Monika Varshney, Azad Kumar Srivastava, Alok Aggarwal, “A Rule based Fuzzy controlled Decision Support System for Intelligent Traffic Control System,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.560-564, 2018.

MLA Style Citation: Monika Varshney, Azad Kumar Srivastava, Alok Aggarwal "A Rule based Fuzzy controlled Decision Support System for Intelligent Traffic Control System." International Journal of Computer Sciences and Engineering 6.11 (2018): 560-564.

APA Style Citation: Monika Varshney, Azad Kumar Srivastava, Alok Aggarwal, (2018). A Rule based Fuzzy controlled Decision Support System for Intelligent Traffic Control System. International Journal of Computer Sciences and Engineering, 6(11), 560-564.

BibTex Style Citation:
@article{Varshney_2018,
author = {Monika Varshney, Azad Kumar Srivastava, Alok Aggarwal},
title = {A Rule based Fuzzy controlled Decision Support System for Intelligent Traffic Control System},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {560-564},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3205},
doi = {https://doi.org/10.26438/ijcse/v6i11.560564}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.560564}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3205
TI - A Rule based Fuzzy controlled Decision Support System for Intelligent Traffic Control System
T2 - International Journal of Computer Sciences and Engineering
AU - Monika Varshney, Azad Kumar Srivastava, Alok Aggarwal
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 560-564
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

Congestion of roads particularly at different junction points due to vehicular traffic has become a chronic problem all around. Right now in India, a static timer is used to control the timing of the traffic light which results in a lot of problems. This paper introduces a fuzzy logic (FL) based decision support system (DSS) for intelligent traffic control system. The primary focus of the paper is on the algorithm used to reduce the time spent extra on the traffic light junction so as to save the fuel, time and to reduce the possibility of accidents occurring at the traffic light junction. The proposed system uses three input parameters; namely maximum length of vehicles behind traffic light, left green time, and no. of vehicles reaching the traffic light in a short period of time and one output, extension time which is used to control the congestion at the traffic light junction. Through decision support system, the meaning of transferred data is translated into linguistic variables that can be understood by non-experts. Mamdani inference engine is used to deduce from the input parameters.

Key-Words / Index Term

Fuzzy Logic, Fuzzy Inference Systems (FIS), Decision support system, Traffic control system

References

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