Heterogeneous vehicular clustering integrates multiple types of communication networks to work efficiently for various vehicular applications. One popular form of heterogeneous network is the integration of long-term evolution (LTE) and dedicated short-range communication. The heterogeneity of such a network infrastructure and the non-cooperation involved in sharing cost/data are potential problems to solve. A vehicular clustering framework is one solution to these problems, but the framework should be formally verified and validated before being deployed in the real world. To solve these issues, first, we present a heterogeneous framework, named destination and interest-aware clustering, for vehicular clustering that integrates vehicular ad hoc networks with the LTE network for improving road traffic efficiency. Then, we specify a model system of the proposed framework. The model is formally verified to evaluate its performance at the functional level using a model checking technique. To evaluate the performance of the proposed framework at the micro-level, a heterogeneous simulation environment is created by integrating state-of-the-art tools. The comparison of the simulation results with those of other known approaches shows that our proposed framework performs better.

异构车载集群集成了多种类型的通信网络，以有效地用于各种车载应用。异构网络的一种流行形式是长期演进 (LTE) 和专用短程通信的集成。这种网络基础设施的异构性以及共享成本/数据所涉及的不合作是需要解决的潜在问题。车载集群框架是解决这些问题的一种方法，但该框架在实际部署之前应该经过正式的验证和验证。为了解决这些问题，首先，我们提出了一个异构框架，名为目的地和兴趣感知集群，用于车辆集群，将车辆自组织网络与 LTE 网络相结合，以提高道路交通效率。然后，我们指定了所提出框架的模型系统。该模型经过正式验证，以使用模型检查技术在功能级别评估其性能。为了在微观层面评估所提出框架的性能，通过集成最先进的工具创建了一个异构模拟环境。模拟结果与其他已知方法的比较表明我们提出的框架性能更好。