LAUSR

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.