基于数字孪生技术的异质交通流安全性研究

针对由智能网联车和普通车构成的异质交通流, 通过分析不同异质交通流稳定性方法的优劣, 用数字孪生技术构建城市异质交通流模型, 借助仿真测试工具, 探讨复杂异质交通流的安全性和稳定性问题。在构建的模型基础上, 结合数字孪生的运行机制, 揭示数字孪生物理实体和虚拟空间的运行机理。采用数字孪生技术搭建丰富的测试环境, 运用无人驾驶开发软件PanoSim, 对异质交通流模型进行测试。测试结果表明, 用数字孪生技术在有限资源条件下构建的虚拟复杂驾驶场景能够有效地解决异质交通流安全性问题。

Application of Digital Twin Technology to HeterogeneousTraffic Flow Security

Aiming at the heterogeneous traffic flow composed of connected and autonomous vehicles (CAVs) and human-driving vehicles (HVs), by analyzing the characteristics of different methods for the stability of heterogeneous traffic flow, the urban heterogeneous traffic model is constructed by the digital twin technology, and the safety and stability of complex heterogeneous traffic flow are explored and solved with the help of simulation testing tools. Based on the construction of the heterogeneous traffic flow model framework by the digital twin technology, combined with the operation mechanism of the digital twin, the paper reveals the operation mechanism of the internal physical entity and virtual space of the digital twin. Using the digital twin technology, an abundant test and verification environment is built, and the driverless development software PanoSim is used to test the heterogeneous traffic flow model. The test results show that the digital twin technology can effectively solve the safety problem of heterogeneous traffic flow by constructing virtual complex driving scene under the condition of limited resources.