Open AccessReal Time Traffic Light Controlling System Using Morphological Operators and Fuzzy Logic
Author(s) -
B Hari Krishna,
Priyadarsan Patra,
Ganapuram Kalpana
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1964/6/062061
Subject(s) - upgrade , traffic signal , computer science , fuzzy logic , automation , real time computing , scheme (mathematics) , traffic congestion , artificial intelligence , engineering , transport engineering , mathematics , operating system , mechanical engineering , mathematical analysis
There is a need for development of advanced smart traffic controlling schemes due to the enhancement in urban traffic congestion. Currently, there are some traffic controlling methods based on timers or controlled by human. However, due to these systems there must be wastage of power in the night times and early morning hours. In order to address this issue, this paper introduces a novel and Traffic light management scheme in real-time with digital image recognition using contrast improvement and fluctuating logic systems for morphological operators. The proposed traffic control system provides an upgrade over traditional systems in terms of time of response, automation, stability and overall performance.