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arXiv · 2506.02688

Stochastic Modeling of Road Hazards on Intersections and their Effect on Safety of Autonomous Vehicles

Peter Popov·Lorenzo Strigini·Cornelius Buerkle·Fabian Oboril·Michael Paulitsch
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Abstract

Autonomous vehicles (AV) look set to become common on our roads within the next few years. However, to achieve the final breakthrough, not only functional progress is required, but also satisfactory safety assurance must be provided. Among those, a question demanding special attention is the need to assess and quantify the overall safety of an AV. Such an assessment must consider on the one hand the imperfections of the AV functionality and on the other hand its interaction with the environment. In a previous paper we presented a model-based approach to AV safety assessment in which we use a probabilistic model to describe road hazards together with the impact on AV safety of imperfect behavior of AV functions, such as safety monitors and perception systems. With this model, we are able to quantify the likelihood of the occurrence of a fatal accident, for a single operating condition. In this paper, we extend the approach and show how the model can deal explicitly with a set of different operating conditions defined in a given ODD.

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Peter Popov, Lorenzo Strigini, Cornelius Buerkle, Fabian Oboril, Michael Paulitsch. 2025-06-03. Stochastic Modeling of Road Hazards on Intersections and their Effect on Safety of Autonomous Vehicles. https://arxiv.org/abs/2506.02688

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