Abstract:
The number of vehicles today has increased dramatically, which causes traffic
jams, accidents and other important problems such as increased fuel
consumption, vehicle emissions and noises. The proposed system monitors the
factors of traffic in a particular junction and makes decisions according to the
current situation using Fuzzy logic. Here, priority values are calculated using a
Mamdani type fuzzy module using linguistic variables such as zero, small,
Medium, large and very large. The Next State Module (NSM), Extending
Current State Module (ECSM) and the Decision-Making Module (DMM) are
proposed in this design of the fuzzy traffic lights controller. NSM reads the input
queue, output queue, and waiting time in order to provide the most suitable
values for the next state of traffic lights configuration and the priority level to
DMM. The ECSM reads input and output queues and provides the value of
priority level for the extension of the current state to the next time lap to DMM.
Finally, the DMM decides the most priority from the outputs of NSM and
ECSM. This simulation of automated traffic light system was designed by
MATLAB fuzzy toolbox for six-lanes roads in a cross junction. Here six
different states are considered to enable green lights for straight through and
right turn lanes while keeping all left turn lanes in green signal. This model
chooses the best time lap to open the lanes which is effective than other methods.
