Formal Verification on the Safety of Internet of Vehicles Based on TPN and Z

Formal Verification on the Safety of Internet of Vehicles Based on TPN and Z
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基于TPN和Z的车联网安全形式化验证

DOI:
10.1155/2020/6618168
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发表时间:
2020-12
影响因子:
--
通讯作者:
Jingwei Chen
Jingwei Chen
中科院分区:
工程技术4区
文献类型:
--
作者:
Yang Liu;Liyuan Huang;Jingwei Chen

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如今,车联网已经成为全球汽车行业技术创新和变革的焦点。它的流场建模对于交通系统的设计和控制具有重要的作用,因为它不仅是提高安全性和运输效率的必要条件,而且会带来一系列的社会、经济和生态环境问题。考虑到框架结构的特点,包括状态和动作以及交通流动力学的离散和连续方面,Petri网和Z都被证明是建模车联网的有用工具。该模型采用Petri网对车辆行为进行形式化描述,并采用Z框架结构对车辆行为进行详细描述。本文提出了一种新的时间Petri网和Z集成形式化方法,通过考虑状态对外部规则的依赖性,对车辆行为和交通规则进行建模。此外,在车联网的案例研究提出了处理事件的准确定位。结果表明,这种形式化验证方法显著提高了车联网系统的安全性和智能性。
Nowadays, the Internet of Vehicles has become the focus of global technological innovation and transformation in the automotive industry. Its flow modelling appears to play a very important role for designing and controlling the transportation systems, since it is not only necessary for improving safety and transportation efficiency but also can yield a series of society, economy, and ecosystem environment problems. Considering the characteristics of the frame structure includes states and actions and discrete and continuous aspects of traffic flow dynamics, both petri net and Z have proved to be useful tools for modelling the Internet of Vehicles. It can formally describe the vehicle behavior accurately with petri net and more details with Z frame structure. A new integration formal method of time petri net and Z is presented in this paper for modelling the vehicle behaviors and traffic rules through taking into account state dependencies on external rules. Moreover, a case study in the Internet of Vehicles is proposed to deal with the accurate localization of events. It shows that this formal verification methods significantly improves the safety and intelligence of the Internet of Vehicles.
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