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Application

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

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Application of traffic light

  • 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
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  • 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.