车联网仿真测试评价技术研究综述

智能化和网联化是汽车发展的重要方向,车联网技术作为智能网联汽车体系架构的重要组成部分,近年来成为业界的研究热点之一。车联网的大规模部署及其在智能汽车领域的广泛应用前需要对其性能及功能进行全面、深入的测试评价,然而在真实环境下进行车联网的测试与评估存在成本高、难度大的问题,因此通过仿真手段对其进行评价分析是当前的主流测试手段。本文总结了主流的网络仿真器和交通仿真器,对现有车联网仿真平台进行了分类,研究并对比分析了典型的车联网仿真平台；针对车联网的应用特性,研究并归纳了影响车联网仿真性能的车辆移动模型、信道传播模型及驾驶员行为等；从网络仿真指标、车联网应用相关指标归纳了车联网功能及性能测试的典型评价指标。

A Survey on Simulation Testing and Evaluation of Internet of Vehicles

Intelligentization and networking are important trend for the development of automobiles. In recent years, as an important part of the intelligent connected vehicle, the Internet of Vehicles (IoVs) has become one of the research hotspots in the automobile industry. Large-scale deployment of IoVs and its extensive application in the field of intelligent connected vehicle require comprehensive and in-depth testing and evaluation of their performance and functionality. However, testing and evaluation in real environments presents high cost and difficult problems. Therefore, simulation has currently become a mainstream testing tool. This article first summarized the mainstream network simulators and traffic simulators, classified the existing IoVs simulation platforms, studied and comparatively analyzed typical IoVs platforms, and then summarized vehicle mobility models, channel propagation models and driver behaviors that affect the simulation performance of IoVs based on the application characteristics. At last, the typical evaluation indicators of the functions and performance tests of IoVs were summarized form the network simulation indicators and relevant indicators for the application of IoVs.