Faculty of Information Science and Technology, Multimedia University, Ayer Keroh, Melaka, 75450, Malaysia.
Kolej Universiti Islam Melaka, Kuala Sg Baru, Melaka, Malaysia.
F1000Res. 2021 Dec 9;10:1265. doi: 10.12688/f1000research.73398.2. eCollection 2021.
V2V (Vehicle-to-Vehicle) is a booming research field with a diverse set of services and applications. Most researchers rely on vehicular simulation tools to model traffic and road conditions and evaluate the performance of network protocols. We conducted a scoping review to consider simulators that have been reported in the literature based on successful implementation of V2V systems, tutorials, documentation, examples, and/or discussion groups. Simulators that have limited information were not included. The selected simulators are described individually and compared based on their requirements and features, i.e., origin, traffic model, scalability, and traffic features. This scoping review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). The review considered only research published in English (in journals and conference papers) completed after 2015. Further, three reviewers initiated the data extraction phase to retrieve information from the published papers. Most simulators can simulate system behaviour by modelling the events according to pre-defined scenarios. However, the main challenge faced is integrating the three components to simulate a road environment in either microscopic, macroscopic or mesoscopic models. These components include mobility generators, VANET simulators and network simulators. These simulators require the integration and synchronisation of the transportation domain and the communication domain. Simulation modelling can be run using a different types of simulators that are cost-effective and scalable for evaluating the performance of V2V systems in urban environments. In addition, we also considered the ability of the vehicular simulation tools to support wireless sensors. The outcome of this study may reduce the time required for other researchers to work on other applications involving V2V systems and as a reference for the study and development of new traffic simulators.
车对车（V2V）是一个蓬勃发展的研究领域，拥有各种服务和应用。大多数研究人员依赖车辆仿真工具来模拟交通和道路条件，并评估网络协议的性能。我们进行了范围综述，以考虑根据 V2V 系统的成功实施、教程、文档、示例和/或讨论组在文献中报告的模拟器。没有包括信息有限的模拟器。选择的模拟器分别进行了描述，并根据其要求和功能进行了比较，即来源、交通模型、可扩展性和交通特征。本范围综述是根据系统评价和荟萃分析扩展的首选报告项目（PRISMA-ScR）报告的。综述仅考虑了 2015 年后以英文发表的（期刊和会议论文）研究。此外，三名评审员启动了数据提取阶段，从已发表的论文中检索信息。大多数模拟器可以通过根据预定义场景对事件进行建模来模拟系统行为。然而，面临的主要挑战是整合三个组件，以便在微观、宏观或中观模型中模拟道路环境。这些组件包括移动性生成器、VANET 模拟器和网络模拟器。这些模拟器需要整合和同步交通领域和通信领域。可以使用不同类型的模拟器来运行仿真建模，这些模拟器具有成本效益且可扩展，可用于评估城市环境中 V2V 系统的性能。此外，我们还考虑了车辆仿真工具支持无线传感器的能力。这项研究的结果可能会减少其他研究人员在涉及 V2V 系统的其他应用上工作所需的时间，并为研究和开发新的交通模拟器提供参考。
