| In the era of retreating station,the scale of expressway network is expanding continuously.With the help of ETC(Electronic Toll Collection,ETC)portal system,a new toll collection mode of "section-by-section toll collection" has been started on expressways,and the level of expressway informatization has been improved.At present,expressway construction and operation enterprises are in a critical period of digital transformation and development,but a large amount of data information generated by expressways makes the utilization of data by expressway departments cumbersome,which indirectly leads to low efficiency of emergency management of expressways.Therefore,with the help of artificial intelligence technology,integrating resources,establishing a complete and unified knowledge system of expressway traffic,and digging the correlation between information in depth,the expressway operation managers can obtain accurate and effective information from massive data resources more quickly,and play an auxiliary role in formulating expressway management and control strategies.Firstly,the paper studies the expressway from the perspective of graph and network,abstracts the expressway topology,constructs a comprehensive evaluation index system of node importance,and uses CRITIS-TOPSIS model to rank the nodes in the expressway topology network,and takes Shandong expressway as an example to verify the model.Secondly,the paper puts forward the construction method of knowledge graph of expressway field,and constructs the knowledge graph of expressway driving in Shandong Province by adopting the idea of hierarchical construction and top-down approach.The knowledge graph is expanded by the obtained important nodes of Shandong Expressway,and at the same time,multi-source data information is fused,and the graph database Secondary is used for storage,which can realize the direct query of information that originally needed to be queried across databases.Finally,the paper designs and develops the expressway driving knowledge graph system,which integrates daily management functions such as vehicle driving record query,vehicle driving track reconstruction and visual display,traffic flow statistics,road traffic management and knowledge graph query functions.It is a comprehensive system platform and a practical application of research results. |