In order to meet the high computational performance of vehicular networks under complex time-varying channel conditions. A multi-unmanned aerial vehicle( UAV)-assisted vehicular network system based on mobile edge computing with digital twins(DT) is proposed. A data center is introduced to store the data of digital twin system for assistance in order to improve the effi-ciency of the overall system, on which the problem of minimizing the delay of the communication between all the UAVs and the vehi-cles is established, and a problem solution based on the proximal policy optimization algorithm. The simulation experiments prove the feasibility and effectiveness of the method, and the delay calculated by the method has a large improvement compared with the greedy algorithm, policy gradient algorithm and so on.
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