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Multi-vehicle experiment platform: A Digital Twin Realization Method

Chunying Yang, Jianghong Dong, Qing Xu, Mengchi Cai, Hongmao Qin, Jianqiang Wang, Keqiang Li

20222022 IEEE/SICE International Symposium on System Integration (SII)20 citationsDOI

Abstract

With the development of V2X technology, multiple vehicles cooperative control has been widely studied. However, filed testing is rarely conducted due to financial and safety considerations. To solve this problem, this study proposes a digital twin method to carry out multi-vehicle experiments, which uses combination of physical and virtual vehicles to perform coordination tasks. To confirm effectiveness of this method, a prototype system is developed, which consists of sand table testbed, its twin system and cloud. Several aspects are quantified to describe system performance, including time delay and localization accuracy. Finally, a vehicle level experiment in platoon scenario is carried out and experiment results confirm effectiveness of this method.

Topics & Concepts

PlatoonTestbedComputer scienceTable (database)Realization (probability)SimulationCloud computingControl systemReal-time computingControl (management)Control engineeringEmbedded systemEngineeringArtificial intelligenceComputer networkOperating systemStatisticsElectrical engineeringMathematicsData miningTraffic control and managementAutonomous Vehicle Technology and SafetyVehicle emissions and performance
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