Modeling and Simulation of Autonomous Vehicle Management System Using Fuzzy Theory

Authors

  • Sandhya Tarar
  • Ela Kumar

Abstract

ABSTRACT 

Fuzzy techniques have demonstrated a surge in the practical applications of fuzzy set theory. This paper presents the speed control mechanism that solves the problem intelligently by learning, adaptation and incorporating human knowledge. The proposed speed controller is used to manage the speed of the trains while at the same time managing the uncertainty in the condition of railway tracks. To deal with the aforesaid issues of uncertainty a Fuzzy Inference System has been proposed. This helps in maintaining the optimum speed of railway vehicles, based on some rules derived from expert knowledge. The proposed system has been aided by some active agents such as environment monitoring and time scheduling that minimizes the risk of undesired circumstances. This paper presents the simulated form of a vehicle control system, which is controlling speed by controlling vehicle deviation index, channelizing the traffic and maintaining track condition. Designing of Fuzzy Inference Systems for this speed controller is based on fuzzy set theory and it requires the computation to be carried out in real time.

Keywords: Fuzzy systems, modeling and simulation, speed control system, environment conditions, fuzzy inference system, clustering, speed scheduling, time scheduling, train management system, speed scheduling

Downloads

Published

2019-04-09

Issue

Vol. 2 No. 1 (2012)

Section

Research Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.