Journal of Management Information and Decision Sciences (Print ISSN: 1524-7252; Online ISSN: 1532-5806)


A Predictive Decision Model for an Efficient Detection of Abnormal Driver Behavior in Intelligent Transport System

Author(s): Balasubramani, S., & ARVINDHAR, D. J.

More than 80 percentages of road accidents happen due to abnormal driver behavior.  The most vital aspect of the Intelligent Transport System is driver behavior. Edge devices communicate with their information using the communication technologies it is improves the efficiency detecting the abnormal driver behavior. In proposed work Internal vehicle, Neighbor vehicle and External parameters are analyzed to find out the driver behavior and predict the abnormality.  The proposed work which uses the ITS system along with the various parameters to predict a driver behavior of its neighboring vehicle helps in reducing the road accidents. The proposed work was simulated using SUMO environment. In the realistic environment of the Chennai metropolitan city and it is observed that the proposed work provides an efficient detection of the driver behavior.

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