AUTOMATIC TRAFFIC CONTROL SYSTEM ppt major
- 1. BBS COLLEGE OF ENGINEERING AND TECHNOLOGY ALLAHABAD SUBMITTED BY- RICHA KUSHWAHA(1613821008) MANISH KUMAR MAURYA(1513821013) UNDER THE GUIDANCE OF - Mr. AMIT GUPTA ASST. PROF. EN DEPARTMENT AUTOMATIC TRAFFIC CONTROL SYSTEM A PRESENTATION ON
- 2. CONTENT 1. INTRODUCTION 2. OBJECTIVE 3. PURPOSE 4. CIRCUIT DIAGRAM 5. COMPONENTS USED 6. TECHNOLOGY USED 7. ADVANTAGES 8. FUTURE SCOPE
- 3. INTRODUCTION • Traffic lights have become an integral part of human's day-to-day life. • With this motivation in the mind, this project aims at designing and implementing, a running model of traffic light controller which is controlled according to the density of vehicle on road. From Google.com
- 4. OBJECTIVE To design an automated traffic-light control system that switches lights depending on the density of traffic in a particular road • Deliverable An automated traffic light control system based on traffic density • End Users Road users
- 5. PURPOSE • Control up to 4-phases traffic system with the traffic flow optimization strategies • Optimize the traffic flow at network junctions • Measurably improve traffic flow • Reduce environmental pollution caused by traffic. • Most importantly increases road safety
- 6. BASIC CIRCUIT DIAGRAM OF AUTOMATIC TRAFFIC CONTROLLER https://images.app.goo.gl/28oKtFVreyDAG8We8
- 7. Components Required Density Based Traffic Light Controller Using Arduino The components you are going to require for this project are as follows • Arduino ATmega328 • 4 X HC-SR04 ultrasonic sensors • 4 X Red LEDs • 4 X Green LEDs • 4 X Yellow LED • Jumper cables • Breadboards
- 8. AURDINO Programming to be Implemented This has to be taken from the library programming in the AURDINO software
- 10. WORKING • Proposed system will functioning based on traditional system along with automated signalling. • System will have artificial vision with the help of digital camera mounted on motor for its rotation to face lanes and sense the traffic on the road. • This single image of lane will be processed using image processing techniques to estimate traffic load. • Estimated traffic load will be used to calculate the required time duration for controlling of signal lights based on in comparison with experimental results.
- 11. PROCESSING OF THERMAL IMAGE:-
- 12. PROJECT DEMONSTRATION The implementation model taken from google.com
- 13. STATISTICAL ANALYSIS There are some observation of traffic in our city Prayagraj such as, •Johnsonganj chauraha the most busy route. •Bank road •Medical chauraha •Telierganj chauraha These all data is taken from google.com
- 14. Example Of Switching Decision Default switching after every 60s t=0 At this instant, traffic density on Road D crosses threshold.
- 15. ADVANTAGES • Automatic traffic signals control • High efficient light can be achieved • Android based traffic signal control in case of emergencies like ambulance etc. • Usage of wireless technology • Long life. • Highly sensitive. • Easy to operate. • Low power consumption. • It is environment friendly.
- 16. FUTURE SCOPE • Real time traffic information update on traffic department website • Automatic tracking of traffic laws defaulters • Implementation of above system at night using thermal cameras • Detection of other emergency vehicles
- 17. CONCLUSION:- The project may be very well used in where the traffic signals is kept and in many other places where we need to full fill the need of the automation. In the future we implement the project’s idea in the industries . By using this in future we can know traffic density in the city and so that remedies can be made according to that.
- 18. REFERENCE 1. https://images.app.goo.gl/28oKtFVreyDAG8We8 2. Research paper on International Journal of Advanced Research in Electrical, Electronics Instrumentation Engineering 3. “Automatic Traffic Control System “.SMEU Astana Solutions Automatic Traffic Control System.htmKarmakar. 4. Amrita Rai and Govind Singh Patel Multiple Traffic Control Using Wireless Sensor and Density Measuring Camera. Sensors & Transducers Journal Vol. 94, Issue 7, July 2008, pp. 126-132. 5. .http://www.edgefxkits.in/embedded/pic/density-based-traffic-signal-system-using- picmicrocontroller. 6. http://www.ijater.com/Files/IJATsER_03_06.pdf 7. Google.com// for images and some data//
- 19. THANK YOU