The Internet of Vehicles (IoV) will be essential in building a smart city in the forthcoming Internet of Things (IoT) age. In reality, the IoV can successfully address several traffic issues. It is essential for maximizing the use of roads, cutting down on energy use and pollution, and promoting traffic safety. However, creating safe and immediate payments and communications is the main challenge with the IoV, especially with Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I). To examine the application of Blockchain as middle-ware amongst diverse stakeholders of intelligent transportation systems, this paper provides an approach for establishing secure payment and communication in response to this problem. Neural synchronization is used to enhance communication security. The architecture under consideration makes used to create a system for allowing Vehicle-to-Everything (V2X) interactions and transactions. Additionally, the efficiency and resistance of the suggested systems against typical security assaults are qualitatively tested in this paper. The key issues of V2X connections, such as safety and centralization, were addressed by the suggested method, according to computational testing. In this study, we also assessed the proposed solution's most crucial characteristics, including memory and power use, modifiability, secrecy, consistency, authenticity, processing time, and affordability. The purpose of this test is to determine if the technology can provide efficient and reliable IoV communication and parking payment. The results show that the suggested methods are quicker and much more than the state-of-the-art communication technologies.

在即将到来的物联网 (IoT) 时代，车联网 (IoV) 对建设智慧城市至关重要。实际上，车联网可以成功解决几个交通问题。这对于最大限度地利用道路、减少能源使用和污染以及促进交通安全至关重要。然而，创建安全和即时的支付和通信是 IoV 的主要挑战，尤其是车对车 (V2V) 和车对基础设施 (V2I)。为了研究区块链作为智能交通系统不同利益相关者之间的中间件的应用，本文提供了一种建立安全支付和通信的方法来解决这个问题。神经同步用于增强通信安全性。正在考虑的架构用于创建一个允许车辆到一切 (V2X) 交互和事务的系统。此外，本文对建议的系统对典型安全攻击的效率和抵抗力进行了定性测试。根据计算测试，建议的方法解决了 V2X 连接的关键问题，例如安全性和集中化。在这项研究中，我们还评估了提议的解决方案最关键的特性，包括内存和功耗、可修改性、保密性、一致性、真实性、处理时间和可负担性。该测试的目的是确定该技术是否可以提供高效可靠的车联网通信和停车支付。