IEEE Style Citation: Yashodhan Kumthekar, Ankit Narendra Patil, Yash Notani, Jayshri Fating, Soumitra Das, “Traffic Signal Optimization and Flow Control using Fuzzy Logic,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.5, pp.153-156, 2016.
MLA Style Citation: Yashodhan Kumthekar, Ankit Narendra Patil, Yash Notani, Jayshri Fating, Soumitra Das "Traffic Signal Optimization and Flow Control using Fuzzy Logic." International Journal of Computer Sciences and Engineering 4.5 (2016): 153-156.
APA Style Citation: Yashodhan Kumthekar, Ankit Narendra Patil, Yash Notani, Jayshri Fating, Soumitra Das, (2016). Traffic Signal Optimization and Flow Control using Fuzzy Logic. International Journal of Computer Sciences and Engineering, 4(5), 153-156.
BibTex Style Citation:
@article{Kumthekar_2016,
author = {Yashodhan Kumthekar, Ankit Narendra Patil, Yash Notani, Jayshri Fating, Soumitra Das},
title = {Traffic Signal Optimization and Flow Control using Fuzzy Logic},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2016},
volume = {4},
Issue = {5},
month = {5},
year = {2016},
issn = {2347-2693},
pages = {153-156},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=923},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=923
TI - Traffic Signal Optimization and Flow Control using Fuzzy Logic
T2 - International Journal of Computer Sciences and Engineering
AU - Yashodhan Kumthekar, Ankit Narendra Patil, Yash Notani, Jayshri Fating, Soumitra Das
PY - 2016
DA - 2016/05/31
PB - IJCSE, Indore, INDIA
SP - 153-156
IS - 5
VL - 4
SN - 2347-2693
ER -
VIEWS
PDF
XML
1452
1418 downloads
1506 downloads
Abstract
This study proposes an intelligent traffic light system that would be capable of adjusting the traffic light based on density of traffic at a particular time. Fuzzy logic could be used to manage the flow of vehicles at traffic signals and ensure efficient flow of vehicles, reducing traffic congestions at peak time. This could be done by analyzing traffic density by analyzing inputs via sensor that could be fitted at signals. This will then be used by microcontroller to set the green signal for varying intervals of time so as to clear the traffic at signals as efficiently as possible. This approach could be implemented to dynamically manage the traffic signal and would prove efficient to help reduce the day to day traffic congestion problems. This study mainly aims to overcome this problem.
VIEWS
PDF 
XML 
