Abstract
Autonomous vehicles will most likely participate in traffic in the near future. The advent of
autonomous vehicles allows us to explore innovative ideas for traffic control such as norm
based control systems. A norm is a violable rule that describes correct behavior. Norm based
traffic control systems monitor traffic and effectuate sanctions in case vehicles violate norms.
In this paper we present an extension of SUMO that enables the user to apply norm based
control systems to traffic simulations. In our extension, vehicles are capable of making an
autonomous decision on whether to comply with the norms or not. We provide a description
of the extension, a summary on its implementation and an experimental evaluation.
autonomous vehicles allows us to explore innovative ideas for traffic control such as norm
based control systems. A norm is a violable rule that describes correct behavior. Norm based
traffic control systems monitor traffic and effectuate sanctions in case vehicles violate norms.
In this paper we present an extension of SUMO that enables the user to apply norm based
control systems to traffic simulations. In our extension, vehicles are capable of making an
autonomous decision on whether to comply with the norms or not. We provide a description
of the extension, a summary on its implementation and an experimental evaluation.
| Original language | English |
|---|---|
| Title of host publication | Simulating Urban Traffic Scenarios |
| Subtitle of host publication | 3rd SUMO Conference 2015 Berlin, Germany |
| Editors | M. Behrisch, M. Weber |
| Publisher | Springer |
| Pages | 55–82 |
| ISBN (Electronic) | 978-3-319-33616-9 |
| ISBN (Print) | 978-3-319-33614-5, 978-3-030-13246-0 |
| DOIs | |
| Publication status | Published - 2018 |
Keywords
- normative systems
- distributed control