Madhubala E , Madhubala M , Nandhini C , Prasanna Kumar R
The increase in number of vehicles has led to the need for a smart system which can efficiently handle the traffic congestion. In this paper we address traffic light control problem and also about "Image subtraction ", "Gabor wavelet filter" and "Neural network" algorithms to lessen the whole waiting time of vehicle in a city. Emergency vehicles are detected using GPS and ZIGBEE sensors. Finally, the whole concept is explained based on "Image Processing".
 Manjunath N, Nikschal V.M, SurabhiMohta, Sindhuja N, " Design of an automated traffic control system for emergency vehicle clearance", In International Journal of Emerging Research in Management &Technology(2016), Page No.278-281.
 Gayathri. R and Amudha. A "Solar Powered Traffic Control System Based on Traffic density with Emergency Vehicle Alert", In Middle-East Journal of Scientific Research 24 (2): 234-238, ISSN 1990-9233(2016), Page No. 234-238.
 Divya P, GunaSekhar A.M, "Innovative Congestion Control System for Ambulance Using Raspberry Pi", In International Journal and Magazine of Engineering, Technology, Management and Research(2016), Page No. 586-590.
 VeeraVenkatesh, Nazneen Syed,"Smart traffic control system for emergency vehicle Ponamallclearance", InInternational Journal of Innovative Research in Computer and Communication Engineering(2015), Page No.7242-7246.
 Dr. Balamurugan. A, Navin Siva Kumar. G, Raj Thilak. S, Selvakumar. P, " Automated Emergency System in Ambulance to Control Traffic Signals using IoT", In International Journal Of Engineering And Computer Science ISSN:2319-7242(2015), Page No. 11533-11539.
 BhargaviYadavN, B Mohan Kumar Naik, "RFID and ZIGBEE based intelligent traffic control system", In InternationalJournal of Computer Engineering and Applications (2016), Page No. 411-417.
 Vidhya K, BazilaBanu, "Density-based traffic signal system", In International Journal of Innovative Research in Science, Engineering, and Technology(2014), Page No. 2218-2983.
 MaramBaniYounes, AzzedineBoukerche, "An Intelligent Traffic Light Scheduling Algorithm Through VANETs", In 10th IEEE International Workshop on Performance and Management of Wireless and Mobile Networks(2014), Page No. 637-642.
 Kavya. G, Saranya. B, "Density-Based Intelligent Traffic Signal System Using PIC Microcontroller", In International Journal of Research in Applied Science & Engineering Technology (IJRASET)(2015), Page No. 205-209.
 Anshul Gupta, ChahatAhuja, Apar Vijay, Shipra, PranjalKatara, " Automated and Intelligent Tunnel Traffic Control System", In International Journal of Emerging Technology and Advanced Engineering(2014), Page NO. 532-536.
 Nidhi D Agarwal, AmitSahu, "Intelligent real-time traffic controller using Image Processing ", In International Journal of Science and Research(2013), Page No. 2980- 2983.
 Royani T, Haddadina J, Alipoor M, "Control Of traffic light in isolated intersection using fuzzy neural network and genetic algorithm", In International Journal of Computer and Electrical Engineering(2013), Page No.142- 146.
 OsigweUchennaChinyere, OladipoOnaolapoFrancisca,Onibere Emmanuel Amano, "Design and simulation of an intelligent traffic control system", In International Journal of Advances in Engineering & Technology(2011), Page No.47-57.
 Muhammad ArshadKhattak " PLC Based Intelligent Traffic Control System", In International Journal of Electrical & Computer Sciences IJECS-IJENS(2011), Page No.69-73.
[  NasriSulaiman, ZeyadAssiObaid, M. H. Marhaban and M. N. Hamidon,"Design and Implementation of FPGA-Based Systems", In Australian Journal of Basic and Applied Sciences(2009), Page No.3575-3596.
UG Student, Department of Computer Science and Engineering, S.A. Engineering College, Poonamallee â€“ Avadi Road, Veeraraghavapuram, Thiruverkadu Post, Chennai â€“ 600077
No. of Downloads: 4 | No. of Views: 5384