Towards Discrete-Event, Aggregating, and Relational Control Interfaces for Traffic Simulation

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review


  • Zhuoxiao Meng - (Author)
  • Anibal Siguenza-Torres - (Author)
  • Mingyue Gao - (Author)
  • Margherita Grossi - (Author)
  • Alexander Wieder - (Author)
  • Xiaorui Du - (Author)
  • Stefano Bortoli - (Author)
  • Christoph Sommer - , Chair of Networked Systems Modeling (Author)
  • Alois Knoll - (Author)


The use of IoT and AI/ML to extract insights for Data-Driven Decision-Making (DDDM) in Intelligent Traffic Systems (ITS) is becoming increasingly popular. While simulation is a cost-effective and safe way to evaluate such approaches, existing simulators are often impractical due to inefficient control interfaces. In this work, we propose a Discrete-Event, Aggregating, and Relational Control Interfaces (DAR-CI) framework for achieving efficient traffic management simulations through a coupled approach. It enables a non-blocking interaction mode based on a discrete-event synchronization architecture. The overhead caused by data exchange is substantially reduced by supporting the direct retrieval of temporal metrics, data batch processing and customized in-situ aggregation. Combined with flexible, extendable, easy-to-understand, and implementation-friendly semantic specifications, we propose DAR-CI to serve as a universal tool for the traffic simulation community, taking the use and control of traffic simulation to a new level. A proof-of-concept study on the simulation of an adaptive traffic light control system demonstrates a 9.53X speedup compared to TraCI, a widely used protocol for controlling traffic simulators.


Original languageEnglish
Title of host publicationProceedings of the 2023 ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2023
Place of PublicationOrlando, FL
PublisherAssociation for Computing Machinery (ACM), New York
Number of pages11
ISBN (electronic)9798400700309
Publication statusPublished - Jun 2023

External IDs

Bibtex nsm-meng2023towards
dblp conf/pads/MengSGGWDB0K23
unpaywall 10.1145/3573900.3591116
Scopus 85163835860


Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis


  • Co-simulation, Interactive Simulation, Traffic Control Interface (TraCI), Traffic Simulation