Real Time Traffic Light Control System Using Morphological Edge Detection and Fuzzy Logic

Traffic is the major problem which every country faces because of the increase in number of vehicles throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. One of the ways to overcome traffic problems in large cities is through the development of an intelligent traffic control system which is based on the measurement of traffic density on the road. In this paper we presented techniques with which this problem of traffic is solved. We discussed morphological edge detection and fuzzy logic technique to solve this problem and comparison between two techniques is presented.

[1]  E. Mamdani,et al.  FUZZY LOGIC CONTROLLER FOR A TRAFFIC JUNCTION , 1977 .

[3]  Bing W Kwan,et al.  Traffic signal control using fuzzy logic , 1997, 1997 IEEE International Conference on Systems, Man, and Cybernetics. Computational Cybernetics and Simulation.

[4]  Robert Hoyer,et al.  Fuzzy control of traffic lights , 1994, Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference.

[5]  Andrew Blake,et al.  Real-time traffic monitoring , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[6]  Pallavi Choudekar,et al.  Implementation of image processing in real time traffic light control , 2011, 2011 3rd International Conference on Electronics Computer Technology.

[7]  S. Chand,et al.  Self-organizing traffic control via fuzzy logic , 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

[8]  Mahmood Fathy,et al.  An image detection technique based on morphological edge detection and background differencing for real-time traffic analysis , 1995, Pattern Recognit. Lett..

[9]  Marzuki Khalid,et al.  INTELLIGENT TRAFFIC LIGHTS CONTROL BY FUZZY LOGIC , 1996 .

[10]  D. Kaur,et al.  Fuzzy traffic light controller , 1994, Proceedings of 1994 37th Midwest Symposium on Circuits and Systems.