Towards Discrete-Event, Aggregating, and Relational Control Interfaces for Traffic Simulation-Reference-Cited by-同舟云学术

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

Published:2023-06-21 Issue: Volume: Page:
ISSN:
Container-title:ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
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Author:

Meng Zhuoxiao¹^ORCID,Siguenza-Torres Anibal¹^ORCID,Gao Mingyue²^ORCID,Grossi Margherita²^ORCID,Wieder Alexander²^ORCID,Du Xiaorui¹^ORCID,Bortoli Stefano²^ORCID,Sommer Christoph³^ORCID,Knoll Alois⁴^ORCID

Affiliation:

1. Department of Informatics, Technical University of Munich, Germany and Intelligent Cloud Technologies Laboratory, Huawei Munich Research Center, Germany

2. Intelligent Cloud Technologies Laboratory, Huawei Munich Research Center, Germany

3. Faculty of Computer Science, TU Dresden, Germany

4. Department of Informatics, Technical University of Munich, Germany

Publisher

ACM

Reference38 articles.

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3. Jordi Casas , Jaime L. Ferrer , David Garcia , Josep Perarnau , and Alex Torday . 2010. Traffic Simulation with Aimsun. Fundamentals of Traffic Simulation ( 2010 ), 173–232. https://doi.org/10.1007/978-1-4419-6142-6_5 10.1007/978-1-4419-6142-6_5 Jordi Casas, Jaime L. Ferrer, David Garcia, Josep Perarnau, and Alex Torday. 2010. Traffic Simulation with Aimsun. Fundamentals of Traffic Simulation (2010), 173–232. https://doi.org/10.1007/978-1-4419-6142-6_5

4. Mustafa Coskun , Abdelkader Baggag , and Sanjay Chawla . 2018 . Deep Reinforcement Learning for Traffic Light Optimization. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE. https://doi.org/10 .1109/icdmw.2018.00088 10.1109/icdmw.2018.00088 Mustafa Coskun, Abdelkader Baggag, and Sanjay Chawla. 2018. Deep Reinforcement Learning for Traffic Light Optimization. In 2018 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE. https://doi.org/10.1109/icdmw.2018.00088