The document outlines the development of a smart traffic light controller using fuzzy logic to improve traffic management at intersections. It highlights advantages such as reduced waiting times, increased vehicular throughput, and decreased accidents by adapting to real-time traffic conditions. Future enhancements could involve integrating the system with a database for improved traffic information management.

1. Application
A Smart Traffic
Light Controller.
Prepared by :
Rohayu Mohamed (2012434738)
Siti Nor Fatin Ghazmi (2012616566)
Siti Fatnin Mohd Na’izam (2012475122)

2. Introduction
• Also known as traffic signals, traffic lamps, signal
lights and stop lights.
• Traffic lights display three lights of a standard
color.
• Produced to overcome congestion.
• Conventional controller based on the 'time-ofthe-day' scheme
• Develop fuzzy logic based traffic junction light
simulator system

3. AI techniques used
• Application of fuzzy logic.
• Provide the attribute of intelligence to the
system.
• Has the capability of mimicking the human
intelligence for controlling the traffic flow.
• Contains a fuzzy logic signal time controller
system and a fuzzy logic phase sequencer
system

5. AI techniques used
• A fuzzy logic controller is designed for an isolated 4Lane traffic intersection
• Controlled traffic light uses sensors that count cars
instead of proximity sensors which only indicate the
presence of cars.
• Determine the presence and absence of vehicles in
road images.
• Extension of the green light if more vehicle is present.
• Signal the traffic light to go red if the road is empty.

6. Advantages of application
• Optimum control of fluctuating traffic volumes
such as over saturated or unusual load
conditions.
• Improve the vehicular throughput
• Maximises the traffic flow
• Control the time intervals of the traffic light.
• Decrease delays of vehicles and environmental
effects
• Increase intersection capacity at same time.

7. Advantages of application
• Reduces the number of accidents
• Reduces the average waiting time at red lights
• Reduces wastage of time by a green light an
empty road.
• Better traffic flow leading to greener
environment

8. Future work/conclusion
• Problem is overcome and traffic controller are improved by
using fuzzy logic.
• The flexibility in dealing with uncertainty, logic can be used
advantageously for traffic light controlling systems.
• For future work, the system can also be linked to a
database to keep track of the traffic information which is
beneficial for security purposes, pedestrian traffic
management and air traffic control.
• traditional method for traffic control caused wastage of
time by a green light for same time on a less congested
road as compare to more congested road.
• Image processing is a better technique to control the state
change of the traffic light.