Traffic simulation has become an efficient tool, with the assistance of computer visualizing techniques, to solve traffic issues such as traffic congestion, network design, and similar problems. Properly controlling simulated traffic flow and modeling each vehicle’s irregular behaviors are key issues in the traffic simulation field. In this paper, we introduce real vehicle trajectories as a data-driven factor in simulated traffic situations to drive behaviors of other simulated vehicles. First, we train a driving model for each simulated vehicle using real traffic data that have a unique control strategy. Then, we fuse real trajectories driven vehicles with simulated trajectories driven vehicles to interact, guided by our learned traffic model, to accurately depict the reality of traffic flows. Compared with existing methods, traffic flows simulated using this method are more realistic and can preserve irregular characteristics of the real traffic flows.

在计算机可视化技术的帮助下，流量模拟已成为一种有效的工具，可以解决流量问题，例如流量拥塞，网络设计和类似问题。在交通模拟领域，正确控制模拟交通流并为每辆车的不规则行为建模是关键问题。在本文中，我们介绍了真实的车辆轨迹作为模拟交通情况下的数据驱动因素，以驱动其他模拟车辆的行为。首先，我们使用具有独特控制策略的实际交通数据为每辆模拟车辆训练驾驶模型。然后，我们将实际轨迹驱动的车辆与模拟轨迹驱动的车辆融合，在我们学习的交通模型的指导下进行交互，以准确地描述交通流的真实情况。与现有方法相比，