International Journal of Artificial Intelligence and Neural Networks
Author(s) : A. R. ZADE, D.R.DANDEKAR
Fast transportation systems and rapid transit systems are nerves of economic development for any nation. All developed nations have well developed transportation system with efficient traffic control on road, rail, and air. The monitoring and control of city traffic is one of the key issues especially in metropolitan areas due to ever increasing number of vehicles and pedestrians. Numerous methods are available to reduce delays and environmental problems caused by road traffic in major cities. Present traffic controllers are based on microcontroller and microprocessor. These traffic light controllers have limitations because it uses the predefined hardware, which functioning according to program that does not have the flexibility of modification on real time basis. In traffic signal control system, detection of traffic variables at intersection is very important and is the basic input data to determine signal timing. The \"Intelligent Traffic Signal Controller using FPGA controller based on Neuro-Fuzzy system\" is capable of taking decision to reduce delays at intersection. To develop the system, algorithm need to be developed using VHDL. The designing part of this controller into VHDL program eliminates the shortcomings of the other custom facilities and conventional controller design available today.