A Behavioral Model for Interacting Vehicles in Highway Scenarios

Paper in proceeding, 2024

In this paper, we present a modeling framework that predicts the vehicle trajectories in highway scenarios, based on the vehicle physical constraints and the drivers' behavior emerging from the interactions with other vehicles. A Markovian model describes the drivers' behavior, whose parameters can be calibrated with experimental data. Simulations demonstrate how the decisions of an ego vehicle evolve in probability based on the interactions. Furthermore, we verify that the most likely decision is consistent with obstacle avoidance strategies.