Open AccessAutonomous Traffic Signal Control using Decision Tree
Author(s) -
R N Rithesh,
R. Vignesh,
M R Anala
Publication year - 2018
Publication title -
international journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.277
H-Index - 22
ISSN - 2088-8708
DOI - 10.11591/ijece.v8i3.pp1522-1529
Subject(s) - computer science , traffic signal , decision tree , signal (programming language) , real time computing , traffic congestion , tree (set theory) , control (management) , floating car data , simulation , computer network , artificial intelligence , transport engineering , engineering , mathematics , mathematical analysis , programming language
The objective of this paper is to introduce an effective and efficient way of traffic signal light control to optimize the traffic signal duration across each lanes and thereby, to minimize or completely eliminate traffic congestion. This paper introduces a new approach to resolve the traffic congestion problem at junctions by making use of decision trees. The vehicle count in the real time traffic video is determined by Image Processing technique. This information is fed to the decision tree based on which the decision is made regarding the status of traffic signal lights of each lane at the junction at any given instant of time.