Multi-vehicle experiment platform: A Digital Twin Realization Method
Chunying Yang, Jianghong Dong, Qing Xu, Mengchi Cai, Hongmao Qin,, Jianqiang Wang, Keqiang Li

TL;DR
This paper introduces a digital twin approach for multi-vehicle experiments, combining physical and virtual vehicles to enable safe, cost-effective testing of cooperative control strategies with validated results.
Contribution
It presents a novel digital twin method for multi-vehicle experiments, integrating physical and virtual systems for efficient testing of V2X cooperative control.
Findings
System achieves acceptable time delay and localization accuracy.
Vehicle platoon experiment confirms the method's effectiveness.
Prototype system demonstrates practical feasibility.
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.
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Taxonomy
TopicsTraffic control and management · Vehicle emissions and performance · Autonomous Vehicle Technology and Safety
