TY - JFULL AU - U. Chattaraj and K. Dhusiya and M. Raviteja PY - 2017/2/ TI - Fuzzy Inference Based Modelling of Perception Reaction Time of Drivers T2 - International Journal of Computer and Information Engineering SP - 7 EP - 12 VL - 11 SN - 1307-6892 UR - https://publications.waset.org/pdf/10006022 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 121, 2017 N2 - Perception reaction time of drivers is an outcome of human thought process, which is vague and approximate in nature and also varies from driver to driver. So, in this study a fuzzy logic based model for prediction of the same has been presented, which seems suitable. The control factors, like, age, experience, intensity of driving of the driver, speed of the vehicle and distance of stimulus have been considered as premise variables in the model, in which the perception reaction time is the consequence variable. Results show that the model is able to explain the impacts of the control factors on perception reaction time properly. ER -