This paper describes the development of an Intelligent Traffic Lights Control System using Fuzzy Logic concepts. Fuzzy Logic offers the possibility to ‘compute with words’, by using a mechanism for representing linguistic constructs common on real world problems. This is very important when the complexity of a task (problem) exceeds a certain threshold. Real world complex problems such human controlled systems involve a certain degree of uncertainty, which cannot be handled by traditional binary set theory.
The algorithm implementation will be done inside Mathworks MATLAB software, and the results will be measured on Simulink Tool to create traffic scenarios and comparisons between simple time-based algorithms and the proposed system. During Project phase, a Robustness Parameter-Diagram will be used to design the system and cover its variables, error states, possible noises and control factors.
The Project also comprehends some research regarding the currently used algorithms (including Artificial Intelligence) and technologies for Intelligent Traffic Light Control Systems. The benefits of using intelligent traffic lights are well known on society, and this paper can inspire academics and professionals to use different approaches to develop such systems.