TY - GEN
T1 - Reproducible and Low-cost Sim-to-Real Environment for Traffic Signal Control
AU - Zhang, Yiran
AU - Vo, Khoa
AU - Da, Longchao
AU - Chen, Tiejin
AU - Liu, Xiaoou
AU - Wei, Hua
N1 - Publisher Copyright:
© 2025 Copyright held by the owner/author(s).
PY - 2025/5/7
Y1 - 2025/5/7
N2 - 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.
AB - 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.
KW - Physical Testbed
KW - Sim-to-real Transfer
KW - Traffic Signal Control
UR - https://www.scopus.com/pages/publications/105007294493
UR - https://www.scopus.com/pages/publications/105007294493#tab=citedBy
U2 - 10.1145/3716550.3725161
DO - 10.1145/3716550.3725161
M3 - Conference contribution
AN - SCOPUS:105007294493
T3 - Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, ICCPS 2025, held as part of the CPS-IoT Week 2025
BT - Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical Systems, ICCPS 2025, held as part of the CPS-IoT Week 2025
PB - Association for Computing Machinery, Inc
T2 - 16th Annual ACM/IEEE International Conference on Cyber-Physical Systems, ICCPS 2025, held as part of the CPS-IoT Week 2025
Y2 - 6 May 2025 through 9 May 2025
ER -