An Evolutionary Model Based on Petri Network for Transportation Systems

We develop an evolutionary model based on Petri network to describe the development process of the transportation system which is driven by internal requirements and external technologies. The relationships between the basic elements in the transportation system are thoroughly discussed to build the model framework, including the traffic services, components, functions, technologies, and requirements. A text mining method is applied to define and quantify the attributes of each participant in the evolution model. A new transition rule that keeps the original number of tokens in the place after the occurrence of its transition is developed to active the dynamic evolution of the transportation network, where the number of tokens in each place denotes the state of the participant in the development process of the transportation system. The development of a service about vehicle visual perception is taken as an example to show the effectiveness of the evolution model for the transportation system.