A Roadmap Towards Dynamic Conflict Management for Autonomous Traffic Agents⋆

Semi-automated vehicles and driver assistance systems promise to increase aspects like traffic safety, more sustainable transportation systems and more road comfort. For a desirable future with the autonomous traffic agents (ATAs) that steer these automated mobility systems, it is of paramount importance to draw our attention to dynamic consistency management. A dynamic inconsistency is a run-time conflict, where an agent cannot choose an action without violating existing traffic rules or central safety goals. We suggest a step-wise engineering methodology to enable ATAs to cope with such run-time conflicts. For this, known run-time conflict must first be identified and formalised. We propose to sort similar conflicts into conflict clusters. For each conflict cluster, a conflict resolution strategy must be derived. Finally, we discuss explainability as a means to justify a conflict resolution strategy to involved stakeholders.

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Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1109/iv64158.2025.11097779
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00

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article

A Roadmap Towards Dynamic Conflict Management for Autonomous Traffic Agents⋆

Maike Schwammberger
Autonomous Vehicle Technology and Safety
article

A Roadmap Towards Dynamic Conflict Management for Autonomous Traffic Agents⋆

Maike Schwammberger
article en

Abstract

Semi-automated vehicles and driver assistance systems promise to increase aspects like traffic safety, more sustainable transportation systems and more road comfort. For a desirable future with the autonomous traffic agents (ATAs) that steer these automated mobility systems, it is of paramount importance to draw our attention to dynamic consistency management. A dynamic inconsistency is a run-time conflict, where an agent cannot choose an action without violating existing traffic rules or central safety goals. We suggest a step-wise engineering methodology to enable ATAs to cope with such run-time conflicts. For this, known run-time conflict must first be identified and formalised. We propose to sort similar conflicts into conflict clusters. For each conflict cluster, a conflict resolution strategy must be derived. Finally, we discuss explainability as a means to justify a conflict resolution strategy to involved stakeholders.

Karlsruhe Institute of Technology (DE)
California Department of Fish and Game
Openalex Percentile: Top 79%
Autonomous Vehicle Technology and Safety
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