Accident Detection Traffic Light System with Dynamic Fuzzy Logic Control Using FuzzyTech Program and iTraffic Simulation

Authors

  • Faisal AlAwadhi Electrical Power Department, High Institute of Energy, PAAET
  • Mohammed Ali Yousef Computer Department, Basic Education Collage, PAAET, Kuwait
  • Abdulrahman Al-Kandari Computer Department, Basic Education College, PAAET, Kuwait

DOI:

https://doi.org/10.31436/ijpcc.v1i1.10

Abstract

The development of traffic signal control systems has become one of the most important topics in this era. Traffic light controllers need to be improved continuously to solve the traffic problems. This paper discussed the proposed hybrid system and demonstrated how the system works from the beginning of the first flag “decrease of cross ratio†until the end of the action system. The proposed system was divided into three main parts: The proposed algorithm (Dynamic Webster with dynamic Cycle Time), Accident Detection System using fuzzy logic theory and Action System depending on Detection System. The focus of this paper is to discuss the accident detection system of the proposed hybrid system, which depended on fuzzy logic and its components. This paper also presented the results of FuzzyTech Software with different scenarios plotting the inputs outputs and the showcases the 3D plot for each one of them for detecting the accident. In addition, it presented results to measure the False Alarm Rate the Accident Detection Rate using FuzzyTech program.

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Published

2015-12-31

How to Cite

AlAwadhi, F., Yousef, M. A., & Al-Kandari, A. (2015). Accident Detection Traffic Light System with Dynamic Fuzzy Logic Control Using FuzzyTech Program and iTraffic Simulation. International Journal on Perceptive and Cognitive Computing, 1(1). https://doi.org/10.31436/ijpcc.v1i1.10