Research Article
Smart Traffic System with Green Time Optimization Using Fuzzy Logic
@INPROCEEDINGS{10.1007/978-3-031-35078-8_26, author={A. K. Kavin and R. Radha and Vishnu Prasad and Bharathwaj Murali}, title={Smart Traffic System with Green Time Optimization Using Fuzzy Logic}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={Deep Learning Computer Vision Fuzzy Logic Internet of Things Intelligent traffic management}, doi={10.1007/978-3-031-35078-8_26} }- A. K. Kavin
R. Radha
Vishnu Prasad
Bharathwaj Murali
Year: 2023
Smart Traffic System with Green Time Optimization Using Fuzzy Logic
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_26
Abstract
Traffic Congestion has been a very big issue due to the large number of vehicles being utilized in cities. It is necessary to control the number of vehicles getting in and out of the crossing such that the city traffic congestion decreases in an efficient way. In this paper, we try to improvise the timings of green signals using fuzzy logic based on the number of vehicles, speed limit, and length of the crossing. We find out the number of vehicles using computer vision dynamically. We validate our system in two different locations in Chennai against the manual green signal duration that is set manually and we prove that our method improves the waiting time significantly.
Copyright © 2022–2025 ICST
