IIUM Repository

Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation

Alkandari, Abdulrahman and Alkandari, Imad Fakhri Taha (2018) Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation. Indonesian Journal of Electrical Engineering and Computer Science, 10 (1). pp. 100-109. ISSN 2502-4752

[img] PDF - Published Version
Restricted to Registered users only

Download (759kB) | Request a copy
[img] PDF (SCOPUS) - Supplemental Material
Restricted to Registered users only

Download (502kB) | Request a copy

Abstract

Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system, that is further branched into two separate systems: An Accident Detection system and an Action system that is intended to solve the congestion related to the vehicular traffic. The primary target of this paper is to discuss the Action system, which depends on the Accident Detection system. This paper explained the two parts of the Action system. It showed the improvement of the Action system with %9.32 in total car crossed. It also presented different scenarios using iTraffic simulation and description of each scenario is displayed with details about the road variables and the simulation results with and without the action system

Item Type: Article (Journal)
Additional Information: 6534/63246
Uncontrolled Keywords: Cycle Time (DWDC), Detection, Dynamic Webster Dynamic, Fuzzy Logic with Accident, Intelligent traffic control system
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Information and Communication Technology > Department of Computer Science
Kulliyyah of Information and Communication Technology > Department of Computer Science
Depositing User: Professor Imad Taha
Date Deposited: 16 Apr 2018 11:15
Last Modified: 16 Apr 2018 11:15
URI: http://irep.iium.edu.my/id/eprint/63246

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year