Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control
This paper presents a unique sim-to-real assessment environment for traffic signal control (TSC), LibSignal++, featuring a 14-ft by 14-ft scaled-down physical replica of a real-world urban roadway equipped with realistic traffic sensors such as cameras, and actual traffic signal controllers. Besides, it is supported by a precise indoor positioning system to track the actual trajectories of vehicles. To generate various plausible physical conditions that are difficult to replicate with computer simulations, this system supports automatic sensor manipulation to mimic observation changes and also supports manual adjustment of physical traffic network settings to reflect the influence of dynamic changes on vehicle behaviors. This system will enable the assessment of traffic policies that are otherwise extremely difficult to simulate or infeasible for full-scale physical tests, providing a reproducible and low-cost environment for sim-to-real transfer research on traffic signal control problems.
Authors
- Tiejin Chen
- Xiaoou Liu (ORCID: https://orcid.org/0009-0008-1082-8326)
- Yiran Zhang (ORCID: https://orcid.org/0009-0002-6809-9425)
- Longchao Da (ORCID: https://orcid.org/0009-0000-8631-9634)
- Hua Wei (ORCID: https://orcid.org/0000-0002-3735-1635)
- Khoa Vo
Institutions
- Arizona State University (US)
Publication Details
- Published
- 2025-05-06
- DOI
- https://doi.org/10.1145/3716550.3725161
- Primary Topic
- Simulation Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Science Foundation