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.

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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

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article

Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control

Tiejin Chen, Xiaoou Liu, Yiran Zhang, Longchao Da et al.
Simulation Techniques and Applications
article

Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control

Tiejin Chen, Xiaoou Liu, Yiran Zhang, Longchao Da, Hua Wei, Khoa Vo
article en

Abstract

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.

Arizona State University (US)
National Science Foundation
Openalex Percentile: Top 89%
Simulation Techniques and Applications
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Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control — Tiejin Chen, Xiaoou Liu, et al. · (2025) | TGRS Research Map | TGRS