Dynamic Traffic Light Timing Control System using Fuzzy TOPSIS Algorithm

6Citations
Citations of this article
17Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Intelligent Traffic Light System with Dynamic timing control employs sensor and algorithm that has been design to solve the original problem of ordinary traffic light which is applied static timing for vehicle traffic flow control. Therefore to build a dynamic traffic light timing control system an algorithm and a sensor is a must. In this paper we proposed a Fuzzy TOPSIS algorithm to be used for traffic light timing control system based on real time quantity vehicle and vehicle classification. Using Fuzzy TOPSIS algorithm we can sets priority vehicle based on its parameter (in this paper we set to vehicle length). We can determine that the trailer truck gets more prioritize based on its length, the second priority would be bus, and the third one was car. Also using its coefficient we found the timing for each vehicle. For every trailer truck the timing would be 2.771552 seconds, for every bus the timing would be 2.581965 seconds and for every car would be 1.862602 second.

Cite

CITATION STYLE

APA

Hakim, G. P. N., Firdausi, A., Alaydrus, M., & Budiyanto, S. (2018). Dynamic Traffic Light Timing Control System using Fuzzy TOPSIS Algorithm. In IOP Conference Series: Materials Science and Engineering (Vol. 453). Institute of Physics Publishing. https://doi.org/10.1088/1757-899X/453/1/012063

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free