In this report a fuzzy logic model of traffic light controller at an intersection of two
streets has been designed with an aim to improve the performance and offer flexibility of
the traffic flow through the intersection. Fuzzy logic model of a traffic light controller
have a lot of advantages against the conventional traffic light that is using fixed cycle
time. One of the advantages is the ability to adjust the cycle time depending on the
number of cars waiting behind the traffic light instead of fixed cycle time that used by the
conventional traffic light.
This project is divided into two main parts that are the fuzzy logic toolbox and the traffic
light circuit. The fuzzy logic toolbox is used to develop fuzzy logic system to generate
the most accurate extension time for the traffic light to response to the number of cars
waiting behind the traffic light. The traffic light circuit is used to control the light
sequence based on the inputs received from sensors.
In the traffic light circuit, there are eight incremental sensor used to count numbers of car
arrived and leaving the intersection. Each junction will have two incremental sensors.
The incremental sensor was developed by using PIC16F84. From the incremental sensor
it will send the data counted to another circuit to compute numbers car left at the junction
by subtracting the data from second incremental sensor with data from the first
incremental sensor. Then the data will be sent to another circuit that will compute the
average number of cars at both intersections. From this circuit, it will send the data to the
traffic light circuit that will decide the time extent based result obtained from MA TLAB.
This method had increased the traffic light efficiency compared to the conventional
traffic light
