TY - GEN
T1 - Real-Sim
T2 - 2022 American Control Conference, ACC 2022
AU - Shao, Yunli
AU - Cook, Adian
AU - Perry, Nolan
AU - Deter, Dean
AU - Wang, Chieh Ross
N1 - Publisher Copyright:
© 2022 American Automatic Control Council.
PY - 2022
Y1 - 2022
N2 - Connected and automated vehicle (CAV) technologies need comprehensive testing and evaluation before actual implementation in the real world. However, many inherent technical challenges exist due to the complexity of CAVs. An integrated evaluation platform is needed with vehicle and traffic simulation tools from different domains and X-in-the-loop (XIL) components to fully evaluate all aspects of CAV technologies. In this work, a multi-resolution XIL simulation framework named Real-Sim is presented to support inclusive testing and evaluation of CAVs. Real-Sim approach is simply defined as nearly any part of a system can be "in the loop", either physically or virtually. Oak Ridge National Laboratory (ORNL) has adapted Real-Sim into all its XIL capable laboratories, as well as much of its simulation and model-based design. The foundation of this approach is the system-of-systems concept which has become more relevant as much of transportation research has expanded beyond the vehicle into the traffic networks and traffic control devices. Real-Sim allows researchers to bring real, tangible hardware and software into simulated environments. It applies to a wide variety of applications, including Real controller-Simulated vehicle, Real vehicle-Simulated virtual environment, Real signal controllers-Simulated traffic, etc.
AB - Connected and automated vehicle (CAV) technologies need comprehensive testing and evaluation before actual implementation in the real world. However, many inherent technical challenges exist due to the complexity of CAVs. An integrated evaluation platform is needed with vehicle and traffic simulation tools from different domains and X-in-the-loop (XIL) components to fully evaluate all aspects of CAV technologies. In this work, a multi-resolution XIL simulation framework named Real-Sim is presented to support inclusive testing and evaluation of CAVs. Real-Sim approach is simply defined as nearly any part of a system can be "in the loop", either physically or virtually. Oak Ridge National Laboratory (ORNL) has adapted Real-Sim into all its XIL capable laboratories, as well as much of its simulation and model-based design. The foundation of this approach is the system-of-systems concept which has become more relevant as much of transportation research has expanded beyond the vehicle into the traffic networks and traffic control devices. Real-Sim allows researchers to bring real, tangible hardware and software into simulated environments. It applies to a wide variety of applications, including Real controller-Simulated vehicle, Real vehicle-Simulated virtual environment, Real signal controllers-Simulated traffic, etc.
UR - http://www.scopus.com/inward/record.url?scp=85138496170&partnerID=8YFLogxK
U2 - 10.23919/ACC53348.2022.9867647
DO - 10.23919/ACC53348.2022.9867647
M3 - Conference contribution
AN - SCOPUS:85138496170
T3 - Proceedings of the American Control Conference
SP - 3365
BT - 2022 American Control Conference, ACC 2022
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 June 2022 through 10 June 2022
ER -