Volume 8 Issue 2 - March 2017

  • 1. Fuzzy logic based approach for short term traffic flow prediction

    Authors : Minal Deshpande, Dr. Preeti Bajaj

    Pages : 254-259

    DOI : http://dx.doi.org/10.21172/1.82.033

    Keywords : Fuzzy Logic systemsIntelligent transportation systems (ITS)Short term traffic flow predictionTraffic flow prediction

    Abstract :

    Short term traffic flow prediction is one of the critical needs in the area of intelligent transportation system (ITS). It helps to reduce the congestion thereby resulting in avoidance of a longer travelling time, reduces fuel consumption and pollution and avoids economic losses. In addition to that, traffic flow prediction helps the transport users to plan their time of travel and also in selecting the travelling path depending on the predicted information. Fuzzy logic is a multi-valued logic which defines the intermediate values that can occur between conventional evaluations such as high/low, true/false or yes/no. It approaches the human logic more closely allowing the measure of possibility as a replacement for the measure of probability. The present work proposes the application of fuzzy logic to traffic flow prediction problem by defining fuzzy sets for traffic flow variables and its corresponding membership functions. Performance is evaluated using various performance measures.

    Citing this Journal Article :

    Minal Deshpande, Dr. Preeti Bajaj, "Fuzzy logic based approach for short term traffic flow prediction", https://www.ijltet.org/journal_details.php?id=911&j_id=3682, Volume 8 Issue 2 - March 2017, 254-259, #ijltetorg