• MS. SHRUTI ONKAR SARODE
• PROF.SUPRATIM SAHA

As the problem of urban traffic congestion spreads, there is a pressing need for the introduction of advanced technology and equipment to improve the state of- the-art of traffic control. Traffic problems nowadays are increasing because of the growing number of vehicles and the limited resources provided by current infrastructures. The simplest way for controlling a traffic light uses timer for each phase. This paper presents a Fuzzy Traffic control logic with genetic Algorithm algorithm for short-term traffic flow prediction. Short-term traffic flow prediction has long been regarded as a critical concern for intelligent transportation systems. On this basis of many existing prediction models, each having good performance only in a particular period with real time traffic control logic. Today, traffic flow forecast as one of the topic in Intelligent transportation system. In this paper we have gone through a very brief idea on Genetic Algorithm, which is a very new approach for problems related to Optimization. There are many techniques used to optimize a function but in case of optimizing Multimodal Functions most of these techniques face a common problem of robustness. This can be overcome by using Genetic algorithm. through this paper we will learn how the Genetic Algorithm actually works with proper explanation and with some real time examples based on MATLAB.

Intelligent Traffic Control Logic, Fuzzy Logic , Genetic Algorithm

"SHORT TERM TRAFFIC FLOW PREDICTION USING SOFT COMPUTING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 2, page no.241-242, February-2015, Available :http://www.jetir.org/papers/JETIR1502015.pdf

"SHORT TERM TRAFFIC FLOW PREDICTION USING SOFT COMPUTING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 2, page no. pp241-242, February-2015, Available at : http://www.jetir.org/papers/JETIR1502015.pdf