# Phenomenon-Signal Model: Formalisation, Graph and Application

arXiv: https://arxiv.org/abs/2207.09996 · HTML: https://mlsanity.com/paper/2207.09996/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Jul 2022.

## Built on by (most cited first, 3 of 3)

- [Grasping Causality for the Explanation of Criticality for Automated Driving](https://mlsanity.com/paper/2210.15375/) (2022)
- [Conservative Estimation of Perception Relevance of Dynamic Objects for Safe Trajectories in Automotive Scenarios](https://mlsanity.com/paper/2307.10873/) (2023)
- [An Ontology-based Approach Towards Traceable Behavior Specifications in Automated Driving](https://mlsanity.com/paper/2409.06607/) (2024)

## Abstract (arXiv)

Considering information as the basis of action, it may be of interest to examine the flow and acquisition of information between the actors in traffic. The central question is: Which signals does an automated driving system (which will be referred to as an automaton in the remainder of this paper) in traffic have to receive, decode or send in road traffic in order to act safely and in a manner that is compliant with valid standards. The phenomenon-signal model (PSM) is a method for structuring the problem area and for analysing and describing this very signal flow. The aim of this paper is to explain the basics, the structure and the application of this method.