How Far can We Go? Capturing Traffic Rules via Traffic Sequence Charts

The emergence of automated vehicles as active participants in traffic introduces new engineering challenges. Beyond traditional technical requirements, the engineers must now design systems that adhere to a complex set of regulations, ensuring compliance across a vast range of possible traffic scenarios. A formal specification of these scenarios is crucial-not only to facilitate communication between stakeholders during the development process but also to enable objective, tool-supported evaluation of behavioural requirements. Traffic Sequence Charts (TSCs) offer an intuitive, visual modelling language for the formal specification of traffic scenarios by representing them through sequences of images that are composed of symbols. Originally developed for the automotive domain, TSCs have been extended in recent years to cover also other transport sectors. In this paper, we demonstrate how traffic rules across the different domains-automotive, maritime, and railway-can be formally specified using TSCs as the same specification formalism. We highlight the advantages of using TSCs to capture complex regulatory requirements and discuss their strengths and limitations in general and specifically for the different domains. Finally, we outline a vision for integrating the TSC formalism into a holistic design framework for rule-compliant autonomous systems, identifying key challenges that need to be addressed and outline future work.

Authors

Institutions

Publication Details

Published
2025-09-30
DOI
https://doi.org/10.1109/iavvc61942.2025.11219537
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

How Far can We Go? Capturing Traffic Rules via Traffic Sequence Charts

Astrid Rakow, Jan Steffen Becker, Eike Möhlmann, Michael Wild
Autonomous Vehicle Technology and Safety
article

How Far can We Go? Capturing Traffic Rules via Traffic Sequence Charts

Astrid Rakow, Jan Steffen Becker, Eike Möhlmann, Michael Wild
article en

Abstract

The emergence of automated vehicles as active participants in traffic introduces new engineering challenges. Beyond traditional technical requirements, the engineers must now design systems that adhere to a complex set of regulations, ensuring compliance across a vast range of possible traffic scenarios. A formal specification of these scenarios is crucial-not only to facilitate communication between stakeholders during the development process but also to enable objective, tool-supported evaluation of behavioural requirements. Traffic Sequence Charts (TSCs) offer an intuitive, visual modelling language for the formal specification of traffic scenarios by representing them through sequences of images that are composed of symbols. Originally developed for the automotive domain, TSCs have been extended in recent years to cover also other transport sectors. In this paper, we demonstrate how traffic rules across the different domains-automotive, maritime, and railway-can be formally specified using TSCs as the same specification formalism. We highlight the advantages of using TSCs to capture complex regulatory requirements and discuss their strengths and limitations in general and specifically for the different domains. Finally, we outline a vision for integrating the TSC formalism into a holistic design framework for rule-compliant autonomous systems, identifying key challenges that need to be addressed and outline future work.

Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE)
Openalex Percentile: Top 63%
Autonomous Vehicle Technology and Safety
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.