DENSITY BASED TRAFFIC LIGHT CONTROLLER

MEPCO SCHLENK ENGINEERING COLLEGE

BY SOPHIA DELSI R SINTHUJA R

III ECE

INTRODUCTION•Traffic congestion is a severe problem in many major cities across the world.•An adaptive traffic control system can be developed where the traffic load and emergency vehicles are continuously measured by sensors connected to a microcontroller-based system which also performs all intersection control functions. •Microcontroller based traffic control system is an application specific project, which is used to control the traffic.

DESCRIPTION

During normal time the signal timing changes automatically on sensing the traffic density at the junction but in case of any emergency vehicle like ambulance, fire brigade etc., requiring priority are built in with RF control to override the set timing by providing instantaneous green signal in the desired direction while blocking the other lanes by red signal for some time.

BLOCK DIAGRAM

MICROCONTROLLER

89C51

• The AT89C51 is a low-power, high-performance CMOS 8-bit microcomputer with 4K bytes of Flash programmable and erasable read only memory (PEROM).

• The Atmel AT89C51 is a powerful microcomputer which provides a highly-flexible and cost-effective solution to many embedded control applications.

ROAD MAP

•This project is implemented by placing IR modules and led’s at the 4 way junction, the four paths are represented as E,W,N,S.• IR modules along four paths, and LEDs are there for indication purpose.

POWER SUPPLY

BUFFER

POWER SUPPLY CIRCUIT

IR SENSING CIRCUIT

DECODER HT12D

BUFFER 4050

DECODER

AMBULANCE RECEIVER SENSOR

PIN1:GNDPIN2:+VccPIN3:OUTPUT

AMBULANCE CAR CIRCUIT

ADVANTAGES

• During normal time the signal timing changes automatically on sensing the traffic density at the junction but in case of any emergency vehicle like ambulance, fire brigade etc., requiring priority are built in with RF control to override the set timing by providing instantaneous green signal in the desired direction while blocking the other lanes by red signal for some time.

• It reduces the possibilities of traffic jams caused by traffic lights to an extent.

CONCLUSION

By using this system configuration we can reduce the possibilities of traffic jams caused by traffic lights to an extent. The number of passing vehicles on the road decides the density range of traffics and on the basis of vehicle count microcontroller decides the traffic light delays.

REFERENCES

[1] Muhammad Ridwan. „Development of a Low Cost Smart Traffic Controller System”. Department of

Mechanical and Materials Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia, 43600 Bangi Selangor, Malaysia

[2] Marco Wiering. “Intelligent Traffic Light Control”. Institute of information and computing sciences, utrecht university [3] W. Wen & C. L. Yang. “A dynamic and automatic traffic light control system for solving the road

congestion problem”.[4] “Automatic Traffic Control System”. SMEU Astana Solutions Automatic Traffic Control System.htm