Open AccessIoT based smart traffic signal monitoring system using vehicles counts
Author(s) -
Senthil Kumar Janahan,
M. R. M. Veeramanickam,
S. Arun,
Kumar Narayanan,
R. Anandan,
Shaik Javed Parvez
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.21.12388
Subject(s) - signal (programming language) , real time computing , computer science , interval (graph theory) , cluster analysis , floating car data , traffic signal , signal timing , intelligent transportation system , simulation , transport engineering , artificial intelligence , engineering , traffic congestion , mathematics , programming language , combinatorics
Traffic signal management is one of the major problematic issues in the current situation. Such scenarios, every signal are getting 60 seconds of timing on the road at a regular interval, even when traffic on that particular road is dense. As per this proposed model in this article, which will be optimized the timing interval of the traffic signal purely depends on the number of vehicles on that particular roadside. The major advantage of this system is that it can able to decrease the more waiting time for the drivers to cross road signal. In this model, we are using the clustering algorithms model which is based on KNN algorithm. Using this algorithm new model will be liable to determine expected required timing as per provided inputs to the signal which is vehicles count. The input of these systems is vehicles counts on each side of the road from crossing signal. And this input will be determined on much time is to be provided. “Case studies on this system are traffic network and real-time traffic sub-networks are organized to get the effectiveness of the proposed model.”