Advanced Traffic Simulation Solutions for
Safety and SOTIF Compliance

Focused on ADAS, Autonomous, and V2X Solutions

How to Ensure Performance from Day One of Design?

Collisions are rare events (~ 1 in 100 000 crossings)

Our advanced Traffic Simulation Agents are designed for safety-critical scenarios and ensure compliance with SOTIF ISO 21448 standards. From common traffic situation to edge cases and even accidents, we help develop reliable systems for autonomous driving and traffic safety right from the concept phase.

How to predict traffic safety?

Collisions are rare events
(~ 1 in 100 000 crossings)

What Is SOTIF ISO 21448?

SOTIF (Safety of the Intended Functionality) ensures that systems operate safely, even without hardware or software failures. Unlike traditional safety standards, it addresses risks from design limitations and unexpected scenarios.

  • Unpredictable edge cases (e.g., pedestrians jaywalking or sudden weather changes).
  • Limitations in AI perception systems (e.g., difficulty detecting obstacles in low visibility).
  • Human interaction with automated systems (e.g., driver override situations).

Our traffic simulations are designed to meet SOTIF ISO 21448 standards by generating realistic scenarios to test and improve system safety.

We Help You Reduce Up To 30% Costs Up To 12 Month Time

traffic simulation for safety validation with thireks

How Our Traffic Simulation Supports SOTIF Compliance

Simulating traffic with all its unexpected flaws

Our Paradigma for simulating Use Cases

Simulate unlimited
Scenarios

When analyzing a use case regarding traffic safety and efficiency, we don’t just select pre-defined scenarios.
Instead, we sample millions of times to obtain statistically significant results.

Modelling Traffic
Complexity

Our expertise lies in simplifying complex traffic processes, utilizing stochastic distributions to model crucial aspects such as emergency reactions or cognitive behavior while accounting for factors like age, gender, and skill.

Gathering Evidence
examples

In cases where scientific evidence is lacking, we conduct our own experiments to establish representative probability distributions, ensuring that our solutions are always backed by solid data.

Initially, I was skeptical about all simulations because I thought that they would only run through known and prepared (synthetic) scenarios that do not reflect the random constellations of real life well enough. However, in a project with us, thireks has shown that their implementation of stochastic simulation does indeed make it possible to reproduce real conditions. I would work with thireks again in this area at any time.

The collaboration with thireks was very straightforward. The thireks product simply works and does so reliably.