Chao Qianwen, Liu Pengfei, Han Yi, Lin Yingying, Li Chaoneng, Miao Qiguang, Jin Xiaogang
IEEE Trans Vis Comput Graph. 2023 Mar;29(3):1664-1677. doi: 10.1109/TVCG.2021.3128286. Epub 2023 Jan 30.
Virtual traffic benefits a variety of applications, including video games, traffic engineering, autonomous driving, and virtual reality. To date, traffic visualization via different simulation models can reconstruct detailed traffic flows. However, each specific behavior of vehicles is always described by establishing an independent control model. Moreover, mutual interactions between vehicles and other road users are rarely modeled in existing simulators. An all-in-one simulator that considers the complex behaviors of all potential road users in a realistic urban environment is urgently needed. In this work, we propose a novel, extensible, and microscopic method to build heterogeneous traffic simulation using the force-based concept. This force-based approach can accurately replicate the sophisticated behaviors of various road users and their interactions in a simple and unified manner. We calibrate the model parameters using real-world traffic trajectory data. The effectiveness of this approach is demonstrated through many simulation experiments, as well as comparisons to real-world traffic data and popular microscopic simulators for traffic animation.
虚拟交通有益于多种应用，包括电子游戏、交通工程、自动驾驶和虚拟现实。迄今为止，通过不同仿真模型进行的交通可视化能够重建详细的交通流。然而，车辆的每一种特定行为总是通过建立独立的控制模型来描述。此外，现有模拟器中很少对车辆与其他道路使用者之间的相互作用进行建模。迫切需要一种一体化模拟器，该模拟器能够在现实的城市环境中考虑所有潜在道路使用者的复杂行为。在这项工作中，我们提出了一种新颖、可扩展的微观方法，利用基于力的概念构建异构交通仿真。这种基于力的方法能够以简单统一的方式准确复制各种道路使用者的复杂行为及其相互作用。我们使用真实世界的交通轨迹数据校准模型参数。通过许多仿真实验以及与真实世界交通数据和用于交通动画的流行微观模拟器的比较，证明了这种方法的有效性。
