Traffic Light Control Using Fuzzy Logic
摘要
This paper presents the use of Fuzzy Logic to help increase the efficiency of Traffic Lights. Fuzzy Logic originally introduced by Dr. Lotfi Zadeh an electrical engineer, mathematician and scientist. The Fuzzy Logic Algorithm is created in order to create a new timing mechanism. This timing is applied to a busy intersection and then compared to the Department of Transportation’s (DOT) timing manual. The design of the Fuzzy Logic Traffic Control system is tested using the Fuzzy Logic Toolbox and AnyLogic Software. The use of these simulations allowed for a new implementation of traffic light delay values, as opposed to what is already in place. AnyLogic also utilized to simulate traffic and collect data using the DOT timing manual and the new Fuzzy Logic Timing. Data from both the DOT and the Fuzzy Logic simulations are compared to one another. Six cases were examined in this study and each cases varied using the traffic density and speed variables. The fuzzy logic algorithm on average outperformed the DOT by approximately 4.93 s for the 6 cases examined.