Towards Discrete-Event, Aggregating, and Relational Control Interfaces for Traffic Simulation
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
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.
Details
Originalsprache | Englisch |
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Titel | Proceedings of the 2023 ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation, SIGSIM-PADS 2023 |
Erscheinungsort | Orlando, FL |
Herausgeber (Verlag) | Association for Computing Machinery (ACM), New York |
Seiten | 12-22 |
Seitenumfang | 11 |
ISBN (elektronisch) | 9798400700309 |
Publikationsstatus | Veröffentlicht - Juni 2023 |
Peer-Review-Status | Ja |
Externe IDs
Bibtex | nsm-meng2023towards |
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dblp | conf/pads/MengSGGWDB0K23 |
unpaywall | 10.1145/3573900.3591116 |
Scopus | 85163835860 |
Schlagworte
Forschungsprofillinien der TU Dresden
DFG-Fachsystematik nach Fachkollegium
Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis
ASJC Scopus Sachgebiete
Schlagwörter
- Co-simulation, Interactive Simulation, Traffic Control Interface (TraCI), Traffic Simulation