Abstract
The paper is proposing an advanced simulation tool for evaluating the behavior of semi and fully autonomous vehicles in the presence of the actions and decisions of the drivers (acquired and automated competencies). The vehicle simulator is built on a hexapod platform, the driver is interacting with steering wheel and pedals with the virtual vehicle. The selected traffic scenario is a roundabout with several vehicles. The behavior of these vehicles is imposed by computing their speed with a deterministic finite state automaton while maintaining the imposed path. These vehicles have simplified kinematic models (the acceleration is controlled) and they are obeying traffic rules. The driver will negotiate the roundabout while studying and evaluating the behavior of the other vehicles. The outcome of this simulation environment will be a new human-machine interaction evaluation introduced through a real-time simulation system in which the semi and fully autonomous vehicles’ behavior is evaluated. The assessment of the driving experience of the vehicles in the new age of the autonomous vehicle is an important step in the algorithm development for autonomous decision-making systems and will contribute to safety analysis and the fidelity of the simulation models.
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Antonya, C., Buzdugan, I.D. (2021). Multimodal Environment for Studying the Behavior of Autonomous Vehicles in Traffic Situations. In: Auer, M.E., Centea, D. (eds) Visions and Concepts for Education 4.0. ICBL 2020. Advances in Intelligent Systems and Computing, vol 1314. Springer, Cham. https://doi.org/10.1007/978-3-030-67209-6_37
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DOI: https://doi.org/10.1007/978-3-030-67209-6_37
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