Overtaking Maneuver Behaviour Modeling Based on Adaptive Neuro-Fuzzy Inference System

Overtaking is a complex and hazardous driving maneuver. The automation of this maneuver is considered to be one of the toughest challenges in the development of autonomous vehicles. Here, a novel overtaking model based on adaptive neuro-fuzzy inference system is proposed. This model is able to simulate and predict the future behaviour of the overtaker vehicle in real traffic flow. In this model, important factors such as relative longitudinal and lateral distance, relative velocity, and also the acceleration and the movement angle of the overtaker vehicle are considered. Using the field data, the performance of the model is validated and compared with the real traffic dataset. The results show very close agreement between field data and model outputs. KeywordsOvertaking Maneuver Behaviour, ANFIS, Modelling, Intelligent Automation.

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