Evaluating driver behavior to the decision-making indices of the driver's mind in the car following based on the driver's behavioral patterns

In the oscillation traffic, various factors could affect a driver’s decision to choose a different speed and decrease or increase acceleration based on different driver’s patterns of behavior. In the present study, different behavioral patterns (aggressive and cautious) is analyzed in the oscillation traffic, with regard to three mental behavior of driver (safety, comfort, and travel time). In this regard, a structured methodology was proposed to quantify the indices’ weights including a multi-objective optimization problem in which the indices were the model’s objective functions. Then, a driver’s behavior was evaluated and analyzed using a neural network. The results of evaluating the driver's behavioral performance showed that the aggressive behavioral performance in the deceleration (acceleration) phase with respect to comfort index based on changes, increasing (increasing) acceleration and safety index based on changes, a decreasing-increasing (decreasing) acceleration and travel time index based on changes is determined by decreasing (increasing) acceleration. Finding also revealed The results of evaluating the timid behavioral performance show that the timid driver behavior in the deceleration (acceleration) phase with respect to comfort index based on changes, increasing - decreasing (increasing) acceleration and safety index based on changes, increasing ( decreasing-increasing) acceleration and travel time index based on changes is determined by decreasing (increasing) acceleration.